Package evaluation of Clarabel on Julia 1.11.4 (a71dd056e0*) started at 2025-04-08T14:28:16.628 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.23s ################################################################################ # Installation # Installing Clarabel... Resolving package versions... Installed Pardiso ─ v0.5.0 Updating `~/.julia/environments/v1.11/Project.toml` [61c947e1] + Clarabel v0.10.0 Updating `~/.julia/environments/v1.11/Manifest.toml` [14f7f29c] + AMD v0.5.3 [6e4b80f9] + BenchmarkTools v1.6.0 [61c947e1] + Clarabel v0.10.0 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [864edb3b] + DataStructures v0.18.22 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.4 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.0.1 [14197337] + GenericLinearAlgebra v0.3.15 ⌅ [34c5aeac] + HSL v0.4.3 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.2 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.15 [b8f27783] + MathOptInterface v1.38.1 [d8a4904e] + MutableArithmetics v1.6.4 [77ba4419] + NaNMath v1.1.3 [bac558e1] + OrderedCollections v1.8.0 ⌅ [46dd5b70] + Pardiso v0.5.0 [69de0a69] + Parsers v2.8.1 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [bfc457fd] + QDLDL v0.4.1 [ae029012] + Requires v1.3.1 [66db9d55] + SnoopPrecompile v1.0.3 [276daf66] + SpecialFunctions v2.5.0 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [a759f4b9] + TimerOutputs v0.5.28 [3bb67fe8] + TranscodingStreams v0.11.3 [6e34b625] + Bzip2_jll v1.0.9+0 [017b0a0e] + HSL_jll v4.0.2+0 [1d5cc7b8] + IntelOpenMP_jll v2025.0.4+0 [856f044c] + MKL_jll v2025.0.1+1 [656ef2d0] + OpenBLAS32_jll v0.3.29+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [1317d2d5] + oneTBB_jll v2022.0.0+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.11.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.7.2+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+0 [14a3606d] + MozillaCACerts_jll v2023.12.12 [4536629a] + OpenBLAS_jll v0.3.27+1 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.7.0+0 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.59.0+0 [3f19e933] + p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Building Pardiso → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/8dbcb7c3c8066167825338732450db0ed1f2cad0/build.log` Installation completed after 10.52s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 18.16s ################################################################################ # Testing # Testing Clarabel Status `/tmp/jl_A7WLhF/Project.toml` [61c947e1] Clarabel v0.10.0 ⌅ [f65535da] Convex v0.15.4 [4076af6c] JuMP v1.25.0 [b8f27783] MathOptInterface v1.38.1 [37e2e46d] LinearAlgebra v1.11.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_A7WLhF/Manifest.toml` [14f7f29c] AMD v0.5.3 [1520ce14] AbstractTrees v0.4.5 [6e4b80f9] BenchmarkTools v1.6.0 [61c947e1] Clarabel v0.10.0 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.16.0 ⌅ [f65535da] Convex v0.15.4 [864edb3b] DataStructures v0.18.22 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [ffbed154] DocStringExtensions v0.9.4 [e2ba6199] ExprTools v0.1.10 [f6369f11] ForwardDiff v1.0.1 [14197337] GenericLinearAlgebra v0.3.15 ⌅ [34c5aeac] HSL v0.4.3 [92d709cd] IrrationalConstants v0.2.4 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [0f8b85d8] JSON3 v1.14.2 [4076af6c] JuMP v1.25.0 [40e66cde] LDLFactorizations v0.10.1 [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.15 [b8f27783] MathOptInterface v1.38.1 [d8a4904e] MutableArithmetics v1.6.4 [77ba4419] NaNMath v1.1.3 [bac558e1] OrderedCollections v1.8.0 ⌅ [46dd5b70] Pardiso v0.5.0 [69de0a69] Parsers v2.8.1 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [bfc457fd] QDLDL v0.4.1 [ae029012] Requires v1.3.1 [66db9d55] SnoopPrecompile v1.0.3 [276daf66] SpecialFunctions v2.5.0 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [856f2bd8] StructTypes v1.11.0 [a759f4b9] TimerOutputs v0.5.28 [3bb67fe8] TranscodingStreams v0.11.3 [6e34b625] Bzip2_jll v1.0.9+0 [017b0a0e] HSL_jll v4.0.2+0 [1d5cc7b8] IntelOpenMP_jll v2025.0.4+0 [856f044c] MKL_jll v2025.0.1+1 [656ef2d0] OpenBLAS32_jll v0.3.29+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [1317d2d5] oneTBB_jll v2022.0.0+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.11.0 [de0858da] Printf v1.11.0 [9abbd945] Profile v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [2f01184e] SparseArrays v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.7.2+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+0 [14a3606d] MozillaCACerts_jll v2023.12.12 [4536629a] OpenBLAS_jll v0.3.27+1 [05823500] OpenLibm_jll v0.8.5+0 [bea87d4a] SuiteSparse_jll v7.7.0+0 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.59.0+0 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 0 nnz(P) = 3 nnz(A) = 0 cones (total) = 0 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -7.0000e+00 -7.0000e+00 2.54e-16 0.00e+00 5.52e-17 1.00e+00 1.00e+00 ------ 0 -7.0000e+00 -7.0000e+00 2.54e-16 0.00e+00 5.52e-17 1.00e+00 1.00e+00 ------ --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 23.6s ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 0 nnz(P) = 3 nnz(A) = 0 cones (total) = 0 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.0000e+08 -0.0000e+00 1.00e+08 0.00e+00 1.00e-08 1.00e+00 1.00e+00 ------ 1 -5.0500e+09 -0.0000e+00 5.05e+09 0.00e+00 1.98e-10 2.06e+02 2.06e-02 5.66e-01 2 -4.9529e+11 -0.0000e+00 4.95e+11 0.00e+00 2.02e-12 1.81e+07 1.81e-01 3.37e-01 3 -1.0019e+08 -0.0000e+00 1.00e+08 0.00e+00 9.98e-09 1.00e+08 7.13e+12 9.90e-01 4 -1.0014e+10 -0.0000e+00 1.00e+10 0.00e+00 9.99e-11 1.00e+10 7.14e+10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = dual infeasible solve time = 211ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 0 nnz(P) = 3 nnz(A) = 0 cones (total) = 0 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -7.0000e+00 -7.0000e+00 2.01e-16 0.00e+00 5.57e-17 1.00e+00 1.00e+00 ------ 0 -7.0000e+00 -7.0000e+00 2.01e-16 0.00e+00 5.57e-17 1.00e+00 1.00e+00 ------ --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 22.3s ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 0 nnz(P) = 3 nnz(A) = 0 cones (total) = 0 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.0000e+08 -0.0000e+00 1.00e+08 0.00e+00 1.00e-08 1.00e+00 1.00e+00 ------ 1 -5.0500e+09 -0.0000e+00 5.05e+09 0.00e+00 1.98e-10 2.06e+02 2.06e-02 5.66e-01 2 -4.9529e+11 -0.0000e+00 4.95e+11 0.00e+00 2.02e-12 1.81e+07 1.81e-01 3.37e-01 3 -1.0019e+08 -0.0000e+00 1.00e+08 0.00e+00 9.98e-09 1.00e+08 7.13e+12 9.90e-01 4 -1.0014e+10 -0.0000e+00 1.00e+10 0.00e+00 9.99e-11 1.00e+10 7.14e+10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = dual infeasible solve time = 257ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 2 nnz(P) = 3 nnz(A) = 4 cones (total) = 1 : Zero = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.0000e+00 1.0000e+00 1.11e-16 3.25e-17 0.00e+00 1.00e+00 1.00e+00 ------ 0 1.0000e+00 1.0000e+00 1.11e-16 3.25e-17 0.00e+00 1.00e+00 1.00e+00 ------ --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 455ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 2 nnz(P) = 3 nnz(A) = 5 cones (total) = 1 : Zero = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 3.9167e+00 3.9167e+00 1.13e-16 0.00e+00 1.21e-16 1.00e+00 1.00e+00 ------ 0 3.9167e+00 3.9167e+00 1.13e-16 0.00e+00 1.21e-16 1.00e+00 1.00e+00 ------ --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 291μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 4 nnz(P) = 3 nnz(A) = 8 cones (total) = 2 : Zero = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.0000e+00 1.0000e+00 0.00e+00 0.00e+00 0.00e+00 1.00e+00 1.00e+00 ------ 0 1.0000e+00 1.0000e+00 0.00e+00 0.00e+00 0.00e+00 1.00e+00 1.00e+00 ------ --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 19.7ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 4 nnz(P) = 3 nnz(A) = 10 cones (total) = 1 : Zero = 1, numel = 4 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 3.8333e-01 1.3607e+08 1.36e+08 5.07e-01 1.73e-16 1.00e+00 1.00e+00 ------ 1 3.8333e-01 4.6265e+09 4.63e+09 5.07e-01 8.29e-16 2.08e+02 2.08e-02 7.54e-01 2 3.8333e-01 4.4956e+11 4.50e+11 5.07e-01 9.27e-16 8.47e+06 8.47e-02 3.40e-01 3 3.8333e-01 1.3687e+08 1.37e+08 5.07e-01 1.11e-16 1.36e+08 4.29e+11 9.90e-01 4 3.8333e-01 5.5547e+08 5.55e+08 5.07e-01 2.09e-16 5.55e+08 4.62e+10 9.90e-01 5 3.8333e-01 5.5547e+10 5.55e+10 5.07e-01 1.29e-16 5.55e+10 4.62e+08 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 821μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 2 nnz(P) = 3 nnz(A) = 4 cones (total) = 1 : Zero = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.0000e+08 3.0000e+00 3.33e+07 2.00e-16 1.00e-08 1.00e+00 1.00e+00 ------ 1 -5.0500e+09 3.0000e+00 1.68e+09 1.92e-16 1.98e-10 2.06e+02 2.06e-02 5.66e-01 2 -4.9529e+11 2.9999e+00 1.65e+11 1.96e-16 2.02e-12 1.81e+07 1.81e-01 3.37e-01 3 -1.0019e+08 3.0000e+00 3.34e+07 1.99e-16 9.98e-09 1.00e+08 7.13e+12 9.90e-01 4 -1.0014e+10 3.0000e+00 3.34e+09 1.96e-16 9.99e-11 1.00e+10 7.14e+10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = dual infeasible solve time = 678μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 2 nnz(P) = 3 nnz(A) = 4 cones (total) = 1 : Zero = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.0000e+00 1.0000e+00 5.00e-17 1.46e-17 2.93e-17 1.00e+00 1.00e+00 ------ 0 1.0000e+00 1.0000e+00 5.00e-17 1.46e-17 2.93e-17 1.00e+00 1.00e+00 ------ --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 108ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 2 nnz(P) = 3 nnz(A) = 5 cones (total) = 1 : Zero = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 3.9167e+00 3.9167e+00 3.52e-16 1.54e-17 1.51e-16 1.00e+00 1.00e+00 ------ 0 3.9167e+00 3.9167e+00 3.52e-16 1.54e-17 1.51e-16 1.00e+00 1.00e+00 ------ --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 625μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 4 nnz(P) = 3 nnz(A) = 8 cones (total) = 2 : Zero = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.0000e+00 1.0000e+00 1.25e-17 1.55e-17 1.67e-17 1.00e+00 1.00e+00 ------ 0 1.0000e+00 1.0000e+00 1.25e-17 1.55e-17 1.67e-17 1.00e+00 1.00e+00 ------ --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 23.4ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 4 nnz(P) = 3 nnz(A) = 10 cones (total) = 1 : Zero = 1, numel = 4 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 3.8333e-01 1.3607e+08 1.36e+08 5.07e-01 1.76e-25 1.00e+00 1.00e+00 ------ 1 3.8333e-01 4.6265e+09 4.63e+09 5.07e-01 3.36e-25 1.67e+02 1.67e-02 6.85e-01 2 3.8333e-01 4.4956e+11 4.50e+11 5.07e-01 3.41e-25 6.80e+06 6.80e-02 3.40e-01 3 3.8333e-01 1.3704e+08 1.37e+08 5.07e-01 1.72e-25 1.36e+08 2.96e+11 9.90e-01 4 3.8333e-01 5.5762e+08 5.58e+08 5.07e-01 2.19e-25 5.58e+08 3.19e+10 9.90e-01 5 3.8333e-01 5.5762e+10 5.58e+10 5.07e-01 4.47e-26 5.58e+10 3.19e+08 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 2.79ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 2 nnz(P) = 3 nnz(A) = 4 cones (total) = 1 : Zero = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.0000e+08 3.0000e+00 3.33e+07 2.00e-16 1.00e-08 1.00e+00 1.00e+00 ------ 1 -5.0500e+09 3.0000e+00 1.68e+09 1.92e-16 1.98e-10 2.06e+02 2.06e-02 5.66e-01 2 -4.9529e+11 2.9999e+00 1.65e+11 1.96e-16 2.02e-12 1.81e+07 1.81e-01 3.37e-01 3 -1.0019e+08 3.0000e+00 3.34e+07 1.99e-16 9.98e-09 1.00e+08 7.13e+12 9.90e-01 4 -1.0014e+10 3.0000e+00 3.34e+09 1.96e-16 9.99e-11 1.00e+10 7.14e+10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = dual infeasible solve time = 1.90ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 6 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Nonnegative = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -8.7426e+00 8.74e+00 2.27e-01 5.16e-17 1.00e+00 1.91e+00 ------ 1 -1.9601e+00 -3.2218e+00 6.44e-01 3.29e-02 5.35e-17 1.65e-01 3.37e-01 8.56e-01 2 -2.9735e+00 -3.0310e+00 1.93e-02 1.32e-03 1.03e-16 9.69e-03 1.60e-02 9.73e-01 3 -2.9997e+00 -3.0003e+00 1.92e-04 1.32e-05 5.03e-17 9.73e-05 1.61e-04 9.90e-01 4 -3.0000e+00 -3.0000e+00 1.92e-06 1.32e-07 9.28e-17 9.73e-07 1.61e-06 9.90e-01 5 -3.0000e+00 -3.0000e+00 1.92e-08 1.32e-09 2.82e-15 9.73e-09 1.61e-08 9.90e-01 6 -3.0000e+00 -3.0000e+00 1.92e-10 1.32e-11 1.01e-16 9.73e-11 1.61e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 233ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 6 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Nonnegative = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -2.9142e+00 2.91e+00 7.29e-01 5.16e-17 1.00e+00 3.57e+00 ------ 1 5.5554e-01 -2.9184e-01 8.47e-01 5.53e-01 1.24e-16 1.29e+00 1.41e+00 7.04e-01 2 2.8173e+00 7.9435e+01 2.72e+01 8.11e-01 1.32e-16 8.76e+01 1.20e-01 9.90e-01 3 3.0152e+00 7.9798e+03 2.65e+03 8.03e-01 1.81e-17 7.99e+03 1.24e-03 9.90e-01 4 3.0152e+00 7.9843e+05 2.65e+05 8.03e-01 5.71e-17 7.98e+05 1.24e-05 9.90e-01 5 3.0152e+00 7.9842e+07 2.65e+07 8.03e-01 9.00e-17 7.98e+07 1.24e-07 9.90e-01 6 3.0152e+00 7.9842e+09 2.65e+09 8.03e-01 1.43e-16 7.98e+09 1.24e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 889μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 6 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Nonnegative = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 7.4983e-01 -5.9498e+00 6.70e+00 5.57e-01 9.04e-01 1.00e+00 2.12e+00 ------ 1 -2.5313e-01 -2.3276e+00 2.07e+00 2.66e-01 5.46e-01 4.72e-01 8.11e-01 6.45e-01 2 -2.2767e+02 -2.1911e+02 3.90e-02 3.24e-02 6.41e-02 5.12e+01 1.36e-01 9.72e-01 3 -4.2035e+03 -3.5181e+03 1.95e-01 3.93e-04 7.83e-04 6.95e+02 1.69e-03 9.88e-01 4 -4.2069e+05 -3.5134e+05 1.97e-01 3.93e-06 7.82e-06 6.94e+04 1.69e-05 9.90e-01 5 -4.2070e+07 -3.5133e+07 1.97e-01 3.93e-08 7.82e-08 6.94e+06 1.69e-07 9.90e-01 6 -4.2057e+09 -3.5122e+09 1.97e-01 3.93e-10 7.82e-10 6.93e+08 1.69e-09 9.90e-01 7 -4.2057e+11 -3.5122e+11 1.97e-01 3.93e-12 7.82e-12 6.93e+10 1.69e-11 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = dual infeasible solve time = 1.02ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 6 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Nonnegative = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 4.4409e+08 -1.8002e+05 2.47e+03 1.12e-06 2.25e-09 1.00e+00 5.29e+06 ------ 1 4.2627e+08 -1.8002e+07 2.47e+01 1.17e-06 2.30e-09 1.00e+02 5.29e+04 9.90e-01 2 -1.3559e+09 -1.8002e+09 3.28e-01 3.67e-07 4.69e-10 1.00e+04 5.29e+02 9.90e-01 3 -1.7958e+11 -1.8002e+11 2.47e-03 2.77e-09 3.89e-12 1.00e+06 5.29e+00 9.90e-01 4 -1.8002e+13 -1.8002e+13 1.91e-05 2.77e-11 3.88e-14 1.00e+08 5.29e-02 9.90e-01 5 -1.7995e+15 -1.7995e+15 5.31e-06 2.83e-13 3.97e-16 1.00e+10 5.41e-04 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = dual infeasible solve time = 649μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 6 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Nonnegative = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -8.7426e+00 8.74e+00 2.27e-01 1.37e-17 1.00e+00 1.91e+00 ------ 1 -1.9601e+00 -3.2218e+00 6.44e-01 3.29e-02 9.79e-18 1.65e-01 3.37e-01 8.56e-01 2 -2.9735e+00 -3.0310e+00 1.93e-02 1.32e-03 9.67e-18 9.69e-03 1.60e-02 9.73e-01 3 -2.9997e+00 -3.0003e+00 1.92e-04 1.32e-05 3.91e-19 9.73e-05 1.61e-04 9.90e-01 4 -3.0000e+00 -3.0000e+00 1.92e-06 1.32e-07 6.84e-21 9.73e-07 1.61e-06 9.90e-01 5 -3.0000e+00 -3.0000e+00 1.92e-08 1.32e-09 2.79e-15 9.73e-09 1.61e-08 9.90e-01 6 -3.0000e+00 -3.0000e+00 1.92e-10 1.32e-11 5.58e-17 9.73e-11 1.61e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 211ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 6 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Nonnegative = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -2.9142e+00 2.91e+00 7.29e-01 1.37e-17 1.00e+00 3.57e+00 ------ 1 5.5554e-01 -2.9184e-01 8.47e-01 5.53e-01 1.24e-17 1.29e+00 1.41e+00 7.04e-01 2 2.8173e+00 7.9435e+01 2.72e+01 8.11e-01 4.73e-17 8.76e+01 1.20e-01 9.90e-01 3 3.0152e+00 7.9798e+03 2.65e+03 8.03e-01 9.14e-19 7.99e+03 1.24e-03 9.90e-01 4 3.0152e+00 7.9843e+05 2.65e+05 8.03e-01 2.60e-18 7.98e+05 1.24e-05 9.90e-01 5 3.0152e+00 7.9842e+07 2.65e+07 8.03e-01 3.27e-20 7.98e+07 1.24e-07 9.90e-01 6 3.0152e+00 7.9842e+09 2.65e+09 8.03e-01 3.27e-22 7.98e+09 1.24e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 3.87ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 6 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Nonnegative = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 7.4983e-01 -5.9498e+00 6.70e+00 5.57e-01 9.04e-01 1.00e+00 2.12e+00 ------ 1 -2.5313e-01 -2.3276e+00 2.07e+00 2.66e-01 5.46e-01 4.72e-01 8.11e-01 6.45e-01 2 -2.2767e+02 -2.1911e+02 3.90e-02 3.24e-02 6.41e-02 5.12e+01 1.36e-01 9.72e-01 3 -4.2035e+03 -3.5181e+03 1.95e-01 3.93e-04 7.83e-04 6.95e+02 1.69e-03 9.88e-01 4 -4.2069e+05 -3.5134e+05 1.97e-01 3.93e-06 7.82e-06 6.94e+04 1.69e-05 9.90e-01 5 -4.2070e+07 -3.5133e+07 1.97e-01 3.93e-08 7.82e-08 6.94e+06 1.69e-07 9.90e-01 6 -4.2057e+09 -3.5122e+09 1.97e-01 3.93e-10 7.82e-10 6.93e+08 1.69e-09 9.90e-01 7 -4.2057e+11 -3.5122e+11 1.97e-01 3.93e-12 7.82e-12 6.93e+10 1.69e-11 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = dual infeasible solve time = 4.30ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 6 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Nonnegative = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 3.4545e-53 -1.0004e+04 1.00e+04 9.94e-01 1.00e-04 1.00e+00 1.57e+03 ------ 1 -9.9048e+05 -1.0004e+06 1.00e-02 5.03e-04 5.02e-07 1.00e+02 1.57e+01 9.90e-01 2 -1.0004e+08 -1.0004e+08 4.83e-08 4.98e-06 5.00e-09 1.00e+04 1.57e-01 9.90e-01 3 -1.0005e+10 -1.0004e+10 9.90e-05 4.98e-08 5.00e-11 1.00e+06 1.57e-03 9.90e-01 4 -1.0005e+12 -1.0004e+12 1.00e-04 4.98e-10 5.00e-13 1.00e+08 1.57e-05 9.90e-01 5 -1.0005e+14 -1.0004e+14 1.00e-04 4.98e-12 5.00e-15 1.00e+10 1.57e-07 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = dual infeasible solve time = 2.74ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 1 nnz(P) = 1 nnz(A) = 1 cones (total) = 1 : Nonnegative = 1, numel = 1 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.2500e-01 -1.1250e+00 1.25e+00 2.00e-01 1.00e+00 1.00e+00 1.00e+00 ------ 1 1.3954e-02 -2.0322e-01 2.17e-01 3.16e-03 2.22e-02 2.61e-01 1.10e-01 9.90e-01 2 9.3220e-05 -1.3977e-02 1.41e-02 3.78e-05 2.30e-04 1.44e-02 6.06e-03 9.90e-01 3 2.5991e-08 -2.3034e-04 2.30e-04 3.86e-07 2.31e-06 2.37e-04 9.81e-05 9.90e-01 4 2.6579e-12 -2.3288e-06 2.33e-06 3.86e-09 2.31e-08 2.39e-06 9.92e-07 9.90e-01 5 2.6585e-16 -2.3290e-08 2.33e-08 3.86e-11 2.31e-10 2.39e-08 9.92e-09 9.90e-01 6 2.6586e-20 -2.3290e-10 2.33e-10 3.86e-13 2.31e-12 2.39e-10 9.92e-11 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 838μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 6 nnz(P) = 3 nnz(A) = 8 cones (total) = 2 : Nonnegative = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 8.9060e-01 -1.3057e+00 2.20e+00 5.55e-01 9.46e-17 1.00e+00 2.47e+00 ------ 1 1.4696e+00 1.0134e+00 4.50e-01 1.45e-01 1.67e-16 1.48e-01 6.24e-01 8.06e-01 2 1.8977e+00 1.8463e+00 2.78e-02 2.75e-03 8.88e-17 8.33e-03 3.51e-02 9.90e-01 3 1.8851e+00 1.8753e+00 5.21e-03 8.62e-05 7.85e-17 1.20e-03 4.42e-03 9.72e-01 4 1.8811e+00 1.8791e+00 1.07e-03 1.04e-05 1.17e-16 2.53e-04 7.58e-04 8.89e-01 5 1.8802e+00 1.8799e+00 1.50e-04 1.08e-06 1.44e-16 3.62e-05 9.79e-05 8.99e-01 6 1.8800e+00 1.8800e+00 5.24e-06 2.99e-08 5.02e-17 1.28e-06 3.36e-06 9.73e-01 7 1.8800e+00 1.8800e+00 5.71e-08 3.18e-10 2.27e-16 1.40e-08 3.67e-08 9.89e-01 8 1.8800e+00 1.8800e+00 5.72e-10 3.18e-12 4.86e-15 1.40e-10 3.67e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.11ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 6 nnz(P) = 3 nnz(A) = 8 cones (total) = 2 : Nonnegative = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.2503e-01 7.5480e+00 7.42e+00 7.83e-01 6.72e-17 1.00e+00 3.97e+00 ------ 1 1.1897e+02 2.1160e+02 7.79e-01 9.04e-01 5.30e-17 1.64e+02 8.73e-01 8.05e-01 2 1.1856e+01 5.3261e+03 4.48e+02 9.15e-01 9.85e-17 5.45e+03 1.87e-02 9.90e-01 3 1.1302e+01 5.1961e+05 4.60e+04 9.15e-01 1.27e-16 5.20e+05 1.88e-04 9.90e-01 4 1.1302e+01 5.1964e+07 4.60e+06 9.15e-01 3.63e-17 5.20e+07 1.88e-06 9.90e-01 5 1.1301e+01 5.1955e+09 4.60e+08 9.15e-01 9.22e-17 5.20e+09 1.88e-08 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 726μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 2 nnz(P) = 3 nnz(A) = 3 cones (total) = 1 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -2.5000e+00 -4.5000e+00 8.00e-01 2.21e-01 1.05e+00 1.00e+00 2.33e+00 ------ 1 9.9417e+02 -1.3548e+03 2.36e+00 1.16e-01 5.87e-01 1.55e+02 5.98e-01 7.85e-01 2 9.4657e+01 -3.0434e+02 4.22e+00 7.35e-03 5.23e-02 3.54e+02 8.07e-02 9.90e-01 3 -1.0831e+03 -9.3717e+02 1.56e-01 4.04e-04 3.20e-03 9.21e+02 1.35e-02 9.32e-01 4 1.1410e+06 -1.3694e+06 2.20e+00 1.10e-05 8.82e-05 8.96e+04 1.64e-03 9.90e-01 5 1.8559e+05 -7.5013e+05 5.04e+00 1.43e-06 1.16e-05 8.89e+04 3.69e-04 7.99e-01 6 1.5044e+09 -1.6326e+09 2.09e+00 1.93e-07 1.56e-06 2.11e+07 1.66e-04 9.18e-01 7 3.0492e+08 -4.9259e+08 2.62e+00 5.93e-09 4.80e-08 8.18e+06 1.28e-05 9.68e-01 8 -5.4440e+08 -7.2422e+08 3.30e-01 2.66e-10 3.56e-09 1.09e+08 3.37e-06 9.90e-01 9 1.1034e+12 -1.2297e+12 2.11e+00 1.59e-11 1.97e-10 1.01e+10 4.57e-07 9.41e-01 10 1.8191e+11 -3.6212e+11 2.99e+00 1.58e-13 1.26e-11 3.73e+09 4.75e-08 9.90e-01 11 -1.5112e+11 -2.0438e+11 3.52e-01 1.57e-15 5.64e-12 2.34e+09 6.70e-09 9.90e-01 12 3.6829e+14 -4.0383e+14 2.10e+00 1.91e-16 5.80e-14 2.33e+11 1.31e-09 8.89e-01 13 6.6629e+13 -1.1676e+14 2.75e+00 4.15e-15 4.02e-14 8.53e+10 1.91e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = dual infeasible solve time = 1.57ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 1 nnz(P) = 3 nnz(A) = 2 cones (total) = 1 : Nonnegative = 1, numel = 1 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -4.0000e+08 -1.1250e+00 3.56e+08 1.77e-09 9.01e-09 1.00e+00 1.00e+00 ------ 1 -1.3600e+10 -6.1163e+02 2.22e+07 1.77e-09 7.50e-09 2.08e+02 2.21e-01 7.54e-01 2 -1.3215e+12 -3.3922e+06 3.90e+05 1.77e-09 7.50e-09 8.17e+06 2.02e-01 3.35e-01 3 -3.1296e+08 -9.3497e-02 3.13e+08 6.38e-10 6.94e-09 6.58e+07 4.50e+07 3.31e-04 4 9.4188e+16 -9.4188e+16 2.00e+00 3.56e-10 1.51e-09 1.63e+10 1.29e+13 5.54e-01 --------------------------------------------------------------------------------------------- Terminated with status = dual infeasible solve time = 680μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 1 nnz(P) = 1 nnz(A) = 1 cones (total) = 1 : Nonnegative = 1, numel = 1 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.2500e-01 -1.1250e+00 1.25e+00 2.00e-01 1.00e+00 1.00e+00 1.00e+00 ------ 1 1.3954e-02 -2.0322e-01 2.17e-01 3.16e-03 2.22e-02 2.61e-01 1.10e-01 9.90e-01 2 9.3220e-05 -1.3977e-02 1.41e-02 3.78e-05 2.30e-04 1.44e-02 6.06e-03 9.90e-01 3 2.5991e-08 -2.3034e-04 2.30e-04 3.86e-07 2.31e-06 2.37e-04 9.81e-05 9.90e-01 4 2.6579e-12 -2.3288e-06 2.33e-06 3.86e-09 2.31e-08 2.39e-06 9.92e-07 9.90e-01 5 2.6585e-16 -2.3290e-08 2.33e-08 3.86e-11 2.31e-10 2.39e-08 9.92e-09 9.90e-01 6 2.6586e-20 -2.3290e-10 2.33e-10 3.85e-13 2.31e-12 2.39e-10 9.92e-11 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.98ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 6 nnz(P) = 3 nnz(A) = 8 cones (total) = 2 : Nonnegative = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 8.9060e-01 -1.3057e+00 2.20e+00 5.55e-01 1.01e-17 1.00e+00 2.47e+00 ------ 1 1.4696e+00 1.0134e+00 4.50e-01 1.45e-01 1.59e-17 1.48e-01 6.24e-01 8.06e-01 2 1.8977e+00 1.8463e+00 2.78e-02 2.75e-03 1.21e-17 8.33e-03 3.51e-02 9.90e-01 3 1.8851e+00 1.8753e+00 5.21e-03 8.62e-05 1.65e-17 1.20e-03 4.42e-03 9.72e-01 4 1.8811e+00 1.8791e+00 1.07e-03 1.04e-05 9.08e-18 2.53e-04 7.58e-04 8.89e-01 5 1.8802e+00 1.8799e+00 1.50e-04 1.08e-06 1.96e-18 3.62e-05 9.79e-05 8.99e-01 6 1.8800e+00 1.8800e+00 5.24e-06 2.99e-08 2.34e-19 1.28e-06 3.36e-06 9.73e-01 7 1.8800e+00 1.8800e+00 5.71e-08 3.18e-10 1.01e-20 1.40e-08 3.67e-08 9.89e-01 8 1.8800e+00 1.8800e+00 5.72e-10 3.18e-12 2.22e-15 1.40e-10 3.67e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 4.51ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 6 nnz(P) = 3 nnz(A) = 8 cones (total) = 2 : Nonnegative = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.2503e-01 7.5480e+00 7.42e+00 7.83e-01 4.22e-18 1.00e+00 3.97e+00 ------ 1 1.1897e+02 2.1160e+02 7.79e-01 9.04e-01 1.77e-18 1.64e+02 8.73e-01 8.05e-01 2 1.1856e+01 5.3261e+03 4.48e+02 9.15e-01 1.34e-18 5.45e+03 1.87e-02 9.90e-01 3 1.1302e+01 5.1961e+05 4.60e+04 9.15e-01 1.10e-18 5.20e+05 1.88e-04 9.90e-01 4 1.1302e+01 5.1964e+07 4.60e+06 9.15e-01 1.10e-18 5.20e+07 1.88e-06 9.90e-01 5 1.1301e+01 5.1955e+09 4.60e+08 9.15e-01 3.28e-20 5.20e+09 1.88e-08 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 3.28ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 2 nnz(P) = 3 nnz(A) = 3 cones (total) = 1 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -2.5000e+00 -4.5000e+00 8.00e-01 2.21e-01 1.05e+00 1.00e+00 2.33e+00 ------ 1 9.9417e+02 -1.3548e+03 2.36e+00 1.16e-01 5.87e-01 1.55e+02 5.98e-01 7.85e-01 2 9.4657e+01 -3.0434e+02 4.22e+00 7.35e-03 5.23e-02 3.54e+02 8.07e-02 9.90e-01 3 -1.0831e+03 -9.3717e+02 1.56e-01 4.04e-04 3.20e-03 9.21e+02 1.35e-02 9.32e-01 4 1.1410e+06 -1.3694e+06 2.20e+00 1.10e-05 8.82e-05 8.96e+04 1.64e-03 9.90e-01 5 1.8559e+05 -7.5013e+05 5.04e+00 1.43e-06 1.16e-05 8.89e+04 3.69e-04 7.99e-01 6 1.5044e+09 -1.6326e+09 2.09e+00 1.93e-07 1.56e-06 2.11e+07 1.66e-04 9.18e-01 7 3.0492e+08 -4.9259e+08 2.62e+00 5.93e-09 4.80e-08 8.18e+06 1.28e-05 9.68e-01 8 -5.4440e+08 -7.2422e+08 3.30e-01 2.66e-10 3.56e-09 1.09e+08 3.37e-06 9.90e-01 9 1.1034e+12 -1.2297e+12 2.11e+00 1.59e-11 1.97e-10 1.01e+10 4.57e-07 9.41e-01 10 1.8191e+11 -3.6212e+11 2.99e+00 1.58e-13 1.26e-11 3.73e+09 4.75e-08 9.90e-01 11 -1.5112e+11 -2.0438e+11 3.52e-01 1.58e-15 5.64e-12 2.34e+09 6.70e-09 9.90e-01 12 3.6828e+14 -4.0383e+14 2.10e+00 1.76e-16 5.80e-14 2.33e+11 1.31e-09 8.89e-01 13 6.6633e+13 -1.1677e+14 2.75e+00 4.10e-15 4.02e-14 8.53e+10 1.91e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = dual infeasible solve time = 5.10ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 1 nnz(P) = 3 nnz(A) = 2 cones (total) = 1 : Nonnegative = 1, numel = 1 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -4.0000e+08 -1.1250e+00 3.56e+08 1.77e-09 9.01e-09 1.00e+00 1.00e+00 ------ 1 -2.0200e+10 -3.9403e+02 5.13e+07 1.77e-09 7.50e-09 2.06e+02 2.63e-01 5.66e-01 2 -1.9812e+12 -1.5356e+06 1.29e+06 1.77e-09 7.50e-09 1.82e+07 2.85e-01 3.37e-01 3 -5.4961e+08 -1.6050e-01 5.50e+08 4.81e-10 4.17e-09 4.03e+08 3.53e+08 1.39e-02 4 4.2750e+16 -4.2750e+16 2.00e+00 4.02e-11 1.75e-10 5.10e+10 7.49e+12 9.29e-01 --------------------------------------------------------------------------------------------- Terminated with status = dual infeasible solve time = 1.72ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 9 nnz(P) = 6 nnz(A) = 9 cones (total) = 3 : Nonnegative = 2, numel = (3,3) : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.3942e-01 -9.0600e+00 8.72e+00 5.11e-01 6.19e-01 1.00e+00 2.41e+00 ------ 1 -2.3326e-01 -9.4772e-01 7.14e-01 7.16e-02 9.35e-02 1.24e-01 4.05e-01 9.62e-01 2 -2.3812e-01 -3.0354e-01 6.54e-02 4.25e-03 5.60e-03 1.11e-02 3.61e-02 9.43e-01 3 -2.3825e-01 -2.4131e-01 3.06e-03 5.63e-05 7.41e-05 4.39e-04 1.43e-03 9.90e-01 4 -2.3831e-01 -2.3834e-01 3.37e-05 5.64e-07 7.41e-07 4.83e-06 1.57e-05 9.90e-01 5 -2.3831e-01 -2.3831e-01 3.54e-07 5.64e-09 7.41e-09 4.92e-08 1.64e-07 9.90e-01 6 -2.3831e-01 -2.3831e-01 4.71e-09 5.65e-11 7.42e-11 5.56e-10 2.11e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 564ms feasible: Test Failed at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:45 Expression: isapprox(norm(solver.solution.x - FloatT[-0.5; 0.435603; -0.245459]), zero(FloatT), atol = tol) Evaluated: isapprox(0.42178973118973473, 0.0; atol = 0.001) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:679 [inlined] [2] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:45 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [4] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:40 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:38 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [8] top-level scope @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:32 feasible: Test Failed at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:49 Expression: isapprox(solver.solution.obj_val, FloatT(-0.8459), atol = tol) Evaluated: isapprox(-0.23831020133782477, -0.8459; atol = 0.001) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:679 [inlined] [2] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:49 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [4] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:40 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:38 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [8] top-level scope @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:32 feasible: Test Failed at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:50 Expression: isapprox(solver.solution.obj_val_dual, FloatT(-0.8459), atol = tol) Evaluated: isapprox(-0.2383102060526244, -0.8459; atol = 0.001) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:679 [inlined] [2] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:50 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [4] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:40 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:38 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [8] top-level scope @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:32 ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 9 nnz(P) = 6 nnz(A) = 9 cones (total) = 2 : Nonnegative = 2, numel = (3,6) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.8939e-01 -9.0450e+00 8.66e+00 5.14e-01 7.63e-01 1.00e+00 2.39e+00 ------ 1 -5.0364e-02 -8.5535e-01 8.05e-01 6.52e-02 1.24e-01 1.05e-01 3.98e-01 9.76e-01 2 -6.6235e-02 -1.1581e-01 4.96e-02 2.69e-03 5.87e-03 5.77e-03 2.55e-02 9.58e-01 3 -8.5070e-02 -8.9079e-02 4.01e-03 2.92e-05 6.44e-05 3.60e-04 1.62e-03 9.90e-01 4 -8.7294e-02 -8.7378e-02 8.37e-05 2.95e-07 6.51e-07 7.39e-06 3.28e-05 9.90e-01 5 -8.7342e-02 -8.7343e-02 8.57e-07 2.95e-09 6.51e-09 7.57e-08 3.36e-07 9.90e-01 6 -8.7343e-02 -8.7343e-02 8.58e-09 2.95e-11 6.51e-11 7.57e-10 3.36e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.02ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 9 nnz(P) = 6 nnz(A) = 9 cones (total) = 3 : Nonnegative = 2, numel = (3,3) : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.1468e+01 4.9848e+02 4.25e+01 7.67e-01 2.68e-01 1.00e+00 7.08e+01 ------ 1 3.0993e+04 -2.2786e+04 2.36e+00 8.82e-01 1.53e-01 2.27e+02 1.53e+01 8.00e-01 2 2.0792e+06 -1.1898e+06 2.75e+00 8.69e-01 1.02e-02 2.06e+05 9.79e-01 9.48e-01 3 2.0635e+08 -1.1667e+08 2.77e+00 8.72e-01 1.03e-03 3.32e+07 9.88e-02 9.00e-01 4 1.8658e+06 9.0422e+08 4.84e+02 8.88e-01 1.09e-05 9.05e+08 1.04e-03 9.90e-01 5 2.4216e+04 9.7239e+09 4.02e+05 8.84e-01 1.21e-07 6.91e+09 1.16e-05 9.89e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 841μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 9 nnz(P) = 6 nnz(A) = 9 cones (total) = 3 : Nonnegative = 2, numel = (3,3) : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.3942e-01 -9.0600e+00 8.72e+00 5.11e-01 6.19e-01 1.00e+00 2.41e+00 ------ 1 -2.3326e-01 -9.4772e-01 7.14e-01 7.16e-02 9.35e-02 1.24e-01 4.05e-01 9.62e-01 2 -2.3812e-01 -3.0354e-01 6.54e-02 4.25e-03 5.60e-03 1.11e-02 3.61e-02 9.43e-01 3 -2.3825e-01 -2.4131e-01 3.06e-03 5.63e-05 7.41e-05 4.39e-04 1.43e-03 9.90e-01 4 -2.3831e-01 -2.3834e-01 3.37e-05 5.64e-07 7.41e-07 4.83e-06 1.57e-05 9.90e-01 5 -2.3831e-01 -2.3831e-01 3.54e-07 5.64e-09 7.41e-09 4.92e-08 1.64e-07 9.90e-01 6 -2.3831e-01 -2.3831e-01 4.71e-09 5.65e-11 7.42e-11 5.56e-10 2.11e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 505ms feasible: Test Failed at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:45 Expression: isapprox(norm(solver.solution.x - FloatT[-0.5; 0.435603; -0.245459]), zero(FloatT), atol = tol) Evaluated: isapprox(0.4217897311892460512592285265421901809074858898736882690905957988852972977055093, 0.0; atol = 0.001000000000000000020816681711721685132943093776702880859375) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:679 [inlined] [2] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:45 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [4] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:40 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:38 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [8] top-level scope @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:32 feasible: Test Failed at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:49 Expression: isapprox(solver.solution.obj_val, FloatT(-0.8459), atol = tol) Evaluated: isapprox(-0.2383102013366671071394141092980100382947508095871228436987931764184230606411456, -0.84589999999999998525623823297792114317417144775390625; atol = 0.001000000000000000020816681711721685132943093776702880859375) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:679 [inlined] [2] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:49 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [4] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:40 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:38 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [8] top-level scope @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:32 feasible: Test Failed at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:50 Expression: isapprox(solver.solution.obj_val_dual, FloatT(-0.8459), atol = tol) Evaluated: isapprox(-0.2383102060516522433303968196691868986763510331473532479785340408187564643860713, -0.84589999999999998525623823297792114317417144775390625; atol = 0.001000000000000000020816681711721685132943093776702880859375) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:679 [inlined] [2] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:50 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [4] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:40 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:38 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [8] top-level scope @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/basic_socp.jl:32 ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 9 nnz(P) = 6 nnz(A) = 9 cones (total) = 2 : Nonnegative = 2, numel = (3,6) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.8939e-01 -9.0450e+00 8.66e+00 5.14e-01 7.63e-01 1.00e+00 2.39e+00 ------ 1 -5.0364e-02 -8.5535e-01 8.05e-01 6.52e-02 1.24e-01 1.05e-01 3.98e-01 9.76e-01 2 -6.6235e-02 -1.1581e-01 4.96e-02 2.69e-03 5.87e-03 5.77e-03 2.55e-02 9.58e-01 3 -8.5070e-02 -8.9079e-02 4.01e-03 2.92e-05 6.44e-05 3.60e-04 1.62e-03 9.90e-01 4 -8.7294e-02 -8.7378e-02 8.37e-05 2.95e-07 6.51e-07 7.39e-06 3.28e-05 9.90e-01 5 -8.7342e-02 -8.7343e-02 8.57e-07 2.95e-09 6.51e-09 7.57e-08 3.36e-07 9.90e-01 6 -8.7343e-02 -8.7343e-02 8.58e-09 2.95e-11 6.51e-11 7.57e-10 3.36e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 4.37ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 9 nnz(P) = 6 nnz(A) = 9 cones (total) = 3 : Nonnegative = 2, numel = (3,3) : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.1468e+01 4.9848e+02 4.25e+01 7.67e-01 2.68e-01 1.00e+00 7.08e+01 ------ 1 3.0993e+04 -2.2786e+04 2.36e+00 8.82e-01 1.53e-01 2.27e+02 1.53e+01 8.00e-01 2 2.0792e+06 -1.1898e+06 2.75e+00 8.69e-01 1.02e-02 2.06e+05 9.79e-01 9.48e-01 3 2.0635e+08 -1.1667e+08 2.77e+00 8.72e-01 1.03e-03 3.32e+07 9.88e-02 9.00e-01 4 1.8658e+06 9.0422e+08 4.84e+02 8.88e-01 1.09e-05 9.05e+08 1.04e-03 9.90e-01 5 2.4216e+04 9.7239e+09 4.02e+05 8.84e-01 1.21e-07 6.91e+09 1.16e-05 9.89e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 4.71ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 7 constraints = 7 nnz(P) = 7 nnz(A) = 9 cones (total) = 3 : Zero = 1, numel = 1 : Nonnegative = 1, numel = 3 : Exponential = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 8.27e-01 1.25e+00 1.00e+00 1.00e+00 ------ 1 -3.3179e+01 -8.1262e+00 3.08e+00 1.30e-01 9.53e-01 1.09e+00 2.24e-01 7.92e-01 2 -3.6838e+01 -2.6997e+01 3.65e-01 2.64e-02 5.36e-01 4.44e-01 4.96e-02 7.92e-01 3 -3.6969e+01 -3.4238e+01 7.98e-02 5.60e-03 1.74e-01 1.15e-01 1.07e-02 7.92e-01 4 -4.1010e+01 -3.8060e+01 7.75e-02 1.89e-03 6.88e-02 8.09e-02 2.76e-03 7.92e-01 5 -4.6269e+01 -5.9371e+01 2.83e-01 2.04e-04 9.57e-03 7.21e-02 5.02e-04 9.80e-01 6 -5.3560e+01 -5.5369e+01 3.38e-02 7.19e-06 3.34e-04 6.56e-03 4.58e-05 9.80e-01 7 -5.4348e+01 -5.4538e+01 3.50e-03 1.52e-07 7.04e-06 5.03e-04 3.76e-06 9.80e-01 8 -5.4407e+01 -5.4429e+01 4.06e-04 4.52e-09 2.09e-07 4.88e-05 3.64e-07 9.80e-01 9 -5.4412e+01 -5.4413e+01 2.44e-05 1.29e-10 5.98e-09 2.80e-06 2.04e-08 9.80e-01 10 -5.4412e+01 -5.4412e+01 7.34e-07 3.59e-12 1.66e-10 8.17e-08 6.10e-10 9.80e-01 11 -5.4412e+01 -5.4412e+01 2.07e-08 9.90e-14 8.77e-12 2.23e-09 1.71e-11 9.80e-01 12 -5.4412e+01 -5.4412e+01 4.45e-09 2.57e-14 3.25e-12 4.77e-10 3.66e-12 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 369ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 7 constraints = 7 nnz(P) = 7 nnz(A) = 9 cones (total) = 3 : Zero = 1, numel = 1 : Nonnegative = 1, numel = 3 : Exponential = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 8.27e-01 1.25e+00 1.00e+00 1.00e+00 ------ 1 -3.3179e+01 -8.1262e+00 3.08e+00 1.30e-01 9.53e-01 1.09e+00 2.24e-01 7.92e-01 2 -3.6838e+01 -2.6997e+01 3.65e-01 2.64e-02 5.36e-01 4.44e-01 4.96e-02 7.92e-01 3 -3.6969e+01 -3.4238e+01 7.98e-02 5.60e-03 1.74e-01 1.15e-01 1.07e-02 7.92e-01 4 -4.1010e+01 -3.8060e+01 7.75e-02 1.89e-03 6.88e-02 8.09e-02 2.76e-03 7.92e-01 5 -4.6269e+01 -5.9371e+01 2.83e-01 2.04e-04 9.57e-03 7.21e-02 5.02e-04 9.80e-01 6 -5.3560e+01 -5.5369e+01 3.38e-02 7.19e-06 3.34e-04 6.56e-03 4.58e-05 9.80e-01 7 -5.4348e+01 -5.4538e+01 3.50e-03 1.52e-07 7.04e-06 5.03e-04 3.76e-06 9.80e-01 8 -5.4407e+01 -5.4429e+01 4.06e-04 4.52e-09 2.09e-07 4.88e-05 3.64e-07 9.80e-01 9 -5.4412e+01 -5.4413e+01 2.44e-05 1.29e-10 5.98e-09 2.80e-06 2.04e-08 9.80e-01 10 -5.4412e+01 -5.4412e+01 7.34e-07 3.59e-12 1.66e-10 8.17e-08 6.10e-10 9.80e-01 11 -5.4412e+01 -5.4412e+01 2.07e-08 9.96e-14 8.77e-12 2.23e-09 1.71e-11 9.80e-01 12 -5.4412e+01 -5.4412e+01 5.91e-10 2.75e-15 2.11e-12 6.07e-11 4.77e-13 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 204ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 6 constraints = 8 nnz(P) = 0 nnz(A) = 10 cones (total) = 4 : Zero = 2, numel = (1,1) : Power = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 7.43e-01 8.26e-01 1.00e+00 1.00e+00 ------ 1 -7.2016e-01 -7.0464e-01 1.55e-02 1.63e-01 2.05e-01 2.71e-01 2.63e-01 7.92e-01 2 -1.8008e+00 -1.7671e+00 1.90e-02 2.15e-02 2.50e-02 7.82e-02 3.52e-02 9.80e-01 3 -1.8433e+00 -1.8426e+00 3.44e-04 5.97e-04 6.88e-04 1.87e-03 9.76e-04 9.80e-01 4 -1.8448e+00 -1.8447e+00 7.21e-05 1.28e-04 1.47e-04 3.98e-04 2.09e-04 7.92e-01 5 -1.8452e+00 -1.8452e+00 1.52e-05 2.75e-05 3.16e-05 8.48e-05 4.49e-05 7.92e-01 6 -1.8453e+00 -1.8453e+00 3.21e-06 5.89e-06 6.78e-06 1.81e-05 9.62e-06 7.92e-01 7 -1.8453e+00 -1.8453e+00 6.77e-07 1.26e-06 1.45e-06 3.86e-06 2.06e-06 7.92e-01 8 -1.8454e+00 -1.8454e+00 1.43e-07 2.71e-07 3.11e-07 8.23e-07 4.42e-07 7.92e-01 9 -1.8454e+00 -1.8454e+00 3.03e-08 5.80e-08 6.67e-08 1.76e-07 9.47e-08 7.92e-01 10 -1.8454e+00 -1.8454e+00 6.41e-09 1.24e-08 1.43e-08 3.75e-08 2.03e-08 7.92e-01 11 -1.8454e+00 -1.8454e+00 1.36e-09 2.67e-09 3.07e-09 8.00e-09 4.35e-09 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 346ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 6 constraints = 8 nnz(P) = 0 nnz(A) = 10 cones (total) = 4 : Zero = 2, numel = (1,1) : Power = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 7.43e-01 8.26e-01 1.00e+00 1.00e+00 ------ 1 -7.2016e-01 -7.0464e-01 1.55e-02 1.63e-01 2.05e-01 2.71e-01 2.63e-01 7.92e-01 2 -1.8008e+00 -1.7671e+00 1.90e-02 2.15e-02 2.50e-02 7.82e-02 3.52e-02 9.80e-01 3 -1.8433e+00 -1.8426e+00 3.44e-04 5.97e-04 6.88e-04 1.87e-03 9.76e-04 9.80e-01 4 -1.8448e+00 -1.8447e+00 7.21e-05 1.28e-04 1.47e-04 3.98e-04 2.09e-04 7.92e-01 5 -1.8452e+00 -1.8452e+00 1.52e-05 2.75e-05 3.16e-05 8.48e-05 4.49e-05 7.92e-01 6 -1.8453e+00 -1.8453e+00 3.21e-06 5.89e-06 6.78e-06 1.81e-05 9.62e-06 7.92e-01 7 -1.8453e+00 -1.8453e+00 6.77e-07 1.26e-06 1.45e-06 3.86e-06 2.06e-06 7.92e-01 8 -1.8454e+00 -1.8454e+00 1.43e-07 2.71e-07 3.11e-07 8.23e-07 4.42e-07 7.92e-01 9 -1.8454e+00 -1.8454e+00 3.03e-08 5.80e-08 6.67e-08 1.76e-07 9.47e-08 7.92e-01 10 -1.8454e+00 -1.8454e+00 6.41e-09 1.24e-08 1.43e-08 3.75e-08 2.03e-08 7.92e-01 11 -1.8454e+00 -1.8454e+00 1.36e-09 2.67e-09 3.07e-09 8.00e-09 4.35e-09 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 208ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 6 constraints = 6 nnz(P) = 6 nnz(A) = 6 cones (total) = 1 : PSDTriangle = 1, numel = 6 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 7.0000e+00 -3.3203e+00 3.11e+00 2.81e-01 7.03e-01 1.00e+00 5.64e+00 ------ 1 2.2779e+02 -2.8988e+02 2.27e+00 1.18e-02 2.24e-02 1.22e+01 7.28e-01 9.90e-01 2 5.4277e+01 -7.2551e+01 2.34e+00 2.64e-04 5.94e-04 3.91e+00 1.06e-01 9.90e-01 3 1.4671e+01 -1.4575e+01 2.01e+00 5.08e-06 1.46e-05 1.14e+00 1.50e-02 9.90e-01 4 6.3736e+00 7.5792e-01 5.62e+00 7.59e-08 2.69e-07 2.57e-01 1.97e-03 9.90e-01 5 4.9823e+00 4.3330e+00 1.50e-01 8.95e-10 3.38e-09 3.14e-02 1.85e-04 9.90e-01 6 4.8445e+00 4.8232e+00 4.40e-03 9.22e-12 3.51e-11 1.04e-03 5.80e-06 9.90e-01 7 4.8401e+00 4.8399e+00 4.75e-05 2.80e-12 6.62e-12 1.13e-05 6.27e-08 9.90e-01 8 4.8401e+00 4.8401e+00 4.76e-07 5.94e-14 1.41e-13 1.13e-07 6.27e-10 9.90e-01 9 4.8401e+00 4.8401e+00 4.76e-09 9.56e-16 2.16e-15 1.13e-09 6.27e-12 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 17.5s ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 6 constraints = 6 nnz(P) = 6 nnz(A) = 6 cones (total) = 2 : PSDTriangle = 2, numel = (6,0) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 7.0000e+00 -3.3203e+00 3.11e+00 2.81e-01 7.03e-01 1.00e+00 5.64e+00 ------ 1 2.2779e+02 -2.8988e+02 2.27e+00 1.18e-02 2.24e-02 1.22e+01 7.28e-01 9.90e-01 2 5.4277e+01 -7.2551e+01 2.34e+00 2.64e-04 5.94e-04 3.91e+00 1.06e-01 9.90e-01 3 1.4671e+01 -1.4575e+01 2.01e+00 5.08e-06 1.46e-05 1.14e+00 1.50e-02 9.90e-01 4 6.3736e+00 7.5792e-01 5.62e+00 7.59e-08 2.69e-07 2.57e-01 1.97e-03 9.90e-01 5 4.9823e+00 4.3330e+00 1.50e-01 8.95e-10 3.38e-09 3.14e-02 1.85e-04 9.90e-01 6 4.8445e+00 4.8232e+00 4.40e-03 9.22e-12 3.51e-11 1.04e-03 5.80e-06 9.90e-01 7 4.8401e+00 4.8399e+00 4.75e-05 2.80e-12 6.62e-12 1.13e-05 6.27e-08 9.90e-01 8 4.8401e+00 4.8401e+00 4.76e-07 5.94e-14 1.41e-13 1.13e-07 6.27e-10 9.90e-01 9 4.8401e+00 4.8401e+00 4.76e-09 9.56e-16 2.16e-15 1.13e-09 6.27e-12 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 22.5ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 6 constraints = 12 nnz(P) = 6 nnz(A) = 12 cones (total) = 2 : PSDTriangle = 2, numel = (6,6) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 3.1111e+00 3.7951e+00 2.20e-01 4.04e-01 3.40e-17 1.00e+00 1.08e+01 ------ 1 4.2099e+01 2.9730e+00 1.32e+01 2.79e-01 1.47e-16 8.34e+00 1.35e+00 8.83e-01 2 6.4390e+00 7.2982e+01 1.03e+01 4.54e-01 2.09e-17 2.56e+02 1.00e-01 9.80e-01 3 6.7381e+00 2.4003e+04 3.56e+03 4.53e-01 5.99e-17 2.42e+04 1.02e-03 9.90e-01 4 6.7381e+00 2.4173e+06 3.59e+05 4.53e-01 2.30e-17 2.42e+06 1.02e-05 9.90e-01 5 6.7380e+00 2.4175e+08 3.59e+07 4.53e-01 3.99e-17 2.42e+08 1.02e-07 9.90e-01 6 6.7380e+00 2.4175e+10 3.59e+09 4.53e-01 5.16e-17 2.42e+10 1.02e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 2.08ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 6 constraints = 6 nnz(P) = 6 nnz(A) = 6 cones (total) = 1 : PSDTriangle = 1, numel = 6 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 7.0000e+00 -3.3203e+00 3.11e+00 2.81e-01 7.03e-01 1.00e+00 5.64e+00 ------ 1 2.2779e+02 -2.8988e+02 2.27e+00 1.18e-02 2.24e-02 1.22e+01 7.28e-01 9.90e-01 2 5.4277e+01 -7.2551e+01 2.34e+00 2.64e-04 5.94e-04 3.91e+00 1.06e-01 9.90e-01 3 1.4671e+01 -1.4575e+01 2.01e+00 5.08e-06 1.46e-05 1.14e+00 1.50e-02 9.90e-01 4 6.3736e+00 7.5792e-01 5.62e+00 7.59e-08 2.69e-07 2.57e-01 1.97e-03 9.90e-01 5 4.9823e+00 4.3330e+00 1.50e-01 8.95e-10 3.38e-09 3.14e-02 1.85e-04 9.90e-01 6 4.8445e+00 4.8232e+00 4.40e-03 9.22e-12 3.51e-11 1.04e-03 5.80e-06 9.90e-01 7 4.8401e+00 4.8399e+00 4.75e-05 2.80e-12 6.62e-12 1.13e-05 6.27e-08 9.90e-01 8 4.8401e+00 4.8401e+00 4.76e-07 5.92e-14 1.41e-13 1.13e-07 6.27e-10 9.90e-01 9 4.8401e+00 4.8401e+00 4.76e-09 8.54e-16 2.16e-15 1.13e-09 6.27e-12 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.70s ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 6 constraints = 6 nnz(P) = 6 nnz(A) = 6 cones (total) = 2 : PSDTriangle = 2, numel = (6,0) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 7.0000e+00 -3.3203e+00 3.11e+00 2.81e-01 7.03e-01 1.00e+00 5.64e+00 ------ 1 2.2779e+02 -2.8988e+02 2.27e+00 1.18e-02 2.24e-02 1.22e+01 7.28e-01 9.90e-01 2 5.4277e+01 -7.2551e+01 2.34e+00 2.64e-04 5.94e-04 3.91e+00 1.06e-01 9.90e-01 3 1.4671e+01 -1.4575e+01 2.01e+00 5.08e-06 1.46e-05 1.14e+00 1.50e-02 9.90e-01 4 6.3736e+00 7.5792e-01 5.62e+00 7.59e-08 2.69e-07 2.57e-01 1.97e-03 9.90e-01 5 4.9823e+00 4.3330e+00 1.50e-01 8.95e-10 3.38e-09 3.14e-02 1.85e-04 9.90e-01 6 4.8445e+00 4.8232e+00 4.40e-03 9.22e-12 3.51e-11 1.04e-03 5.80e-06 9.90e-01 7 4.8401e+00 4.8399e+00 4.75e-05 2.80e-12 6.62e-12 1.13e-05 6.27e-08 9.90e-01 8 4.8401e+00 4.8401e+00 4.76e-07 5.92e-14 1.41e-13 1.13e-07 6.27e-10 9.90e-01 9 4.8401e+00 4.8401e+00 4.76e-09 8.54e-16 2.16e-15 1.13e-09 6.27e-12 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 42.8ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 6 constraints = 12 nnz(P) = 6 nnz(A) = 12 cones (total) = 2 : PSDTriangle = 2, numel = (6,6) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 3.1111e+00 3.7951e+00 2.20e-01 4.04e-01 1.22e-17 1.00e+00 1.08e+01 ------ 1 4.2099e+01 2.9730e+00 1.32e+01 2.79e-01 7.30e-18 8.34e+00 1.35e+00 8.83e-01 2 6.4390e+00 7.2982e+01 1.03e+01 4.54e-01 7.78e-18 2.56e+02 1.00e-01 9.80e-01 3 6.7381e+00 2.4003e+04 3.56e+03 4.53e-01 5.97e-18 2.42e+04 1.02e-03 9.90e-01 4 6.7381e+00 2.4173e+06 3.59e+05 4.53e-01 6.06e-20 2.42e+06 1.02e-05 9.90e-01 5 6.7380e+00 2.4175e+08 3.59e+07 4.53e-01 7.30e-22 2.42e+08 1.02e-07 9.90e-01 6 6.7380e+00 2.4175e+10 3.59e+09 4.53e-01 7.39e-24 2.42e+10 1.02e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 45.0ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 6 constraints = 8 nnz(P) = 0 nnz(A) = 10 cones (total) = 3 : Zero = 1, numel = 2 : GenPower = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 7.43e-01 8.26e-01 1.00e+00 1.00e+00 ------ 1 -4.1106e-01 -4.3422e-01 2.32e-02 2.59e-01 3.30e-01 3.64e-01 4.12e-01 6.34e-01 2 -1.0943e+00 -1.0992e+00 4.50e-03 9.71e-02 1.17e-01 1.58e-01 1.69e-01 6.34e-01 3 -1.7009e+00 -1.6983e+00 1.55e-03 1.94e-02 2.26e-02 4.17e-02 3.83e-02 7.92e-01 4 -1.8032e+00 -1.8021e+00 5.93e-04 4.36e-03 5.03e-03 1.00e-02 7.83e-03 7.92e-01 5 -1.8344e+00 -1.8341e+00 1.67e-04 9.67e-04 1.11e-03 2.30e-03 1.62e-03 7.92e-01 6 -1.8438e+00 -1.8437e+00 2.64e-05 1.94e-04 2.23e-04 4.49e-04 3.70e-04 7.86e-01 7 -1.8447e+00 -1.8446e+00 1.27e-05 7.91e-05 9.10e-05 1.87e-04 1.42e-04 6.34e-01 8 -1.8452e+00 -1.8452e+00 2.61e-06 1.68e-05 1.93e-05 3.95e-05 3.13e-05 7.92e-01 9 -1.8453e+00 -1.8453e+00 1.27e-06 6.91e-06 7.95e-06 1.66e-05 1.19e-05 6.34e-01 10 -1.8453e+00 -1.8453e+00 2.57e-07 1.46e-06 1.68e-06 3.49e-06 2.63e-06 7.92e-01 11 -1.8453e+00 -1.8453e+00 1.23e-07 6.04e-07 6.94e-07 1.47e-06 1.00e-06 6.34e-01 12 -1.8454e+00 -1.8454e+00 2.49e-08 1.28e-07 1.47e-07 3.10e-07 2.21e-07 7.92e-01 13 -1.8454e+00 -1.8454e+00 1.17e-08 5.27e-08 6.06e-08 1.30e-07 8.41e-08 6.34e-01 14 -1.8454e+00 -1.8454e+00 2.36e-09 1.12e-08 1.28e-08 2.74e-08 1.86e-08 7.92e-01 15 -1.8454e+00 -1.8454e+00 1.09e-09 4.54e-09 5.29e-09 1.15e-08 7.07e-09 6.34e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.64s ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 6 constraints = 8 nnz(P) = 0 nnz(A) = 10 cones (total) = 3 : Zero = 1, numel = 2 : GenPower = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 7.43e-01 8.26e-01 1.00e+00 1.00e+00 ------ 1 -4.1106e-01 -4.3422e-01 2.32e-02 2.59e-01 3.30e-01 3.64e-01 4.12e-01 6.34e-01 2 -1.0943e+00 -1.0992e+00 4.50e-03 9.71e-02 1.17e-01 1.58e-01 1.69e-01 6.34e-01 3 -1.7009e+00 -1.6983e+00 1.55e-03 1.94e-02 2.26e-02 4.17e-02 3.83e-02 7.92e-01 4 -1.8032e+00 -1.8021e+00 5.93e-04 4.36e-03 5.03e-03 1.00e-02 7.83e-03 7.92e-01 5 -1.8344e+00 -1.8341e+00 1.67e-04 9.67e-04 1.11e-03 2.30e-03 1.62e-03 7.92e-01 6 -1.8438e+00 -1.8437e+00 2.64e-05 1.94e-04 2.23e-04 4.49e-04 3.70e-04 7.86e-01 7 -1.8447e+00 -1.8446e+00 1.27e-05 7.91e-05 9.10e-05 1.87e-04 1.42e-04 6.34e-01 8 -1.8452e+00 -1.8452e+00 2.61e-06 1.68e-05 1.93e-05 3.95e-05 3.13e-05 7.92e-01 9 -1.8453e+00 -1.8453e+00 1.27e-06 6.91e-06 7.95e-06 1.66e-05 1.19e-05 6.34e-01 10 -1.8453e+00 -1.8453e+00 2.57e-07 1.46e-06 1.68e-06 3.49e-06 2.63e-06 7.92e-01 11 -1.8453e+00 -1.8453e+00 1.23e-07 6.04e-07 6.94e-07 1.47e-06 1.00e-06 6.34e-01 12 -1.8454e+00 -1.8454e+00 2.49e-08 1.28e-07 1.47e-07 3.10e-07 2.21e-07 7.92e-01 13 -1.8454e+00 -1.8454e+00 1.17e-08 5.27e-08 6.06e-08 1.30e-07 8.41e-08 6.34e-01 14 -1.8454e+00 -1.8454e+00 2.36e-09 1.12e-08 1.28e-08 2.74e-08 1.86e-08 7.92e-01 15 -1.8454e+00 -1.8454e+00 1.09e-09 4.60e-09 5.29e-09 1.15e-08 7.07e-09 6.34e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.68s ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- presolve: removed 1 constraints problem: variables = 3 constraints = 5 nnz(P) = 3 nnz(A) = 5 cones (total) = 2 : Nonnegative = 2, numel = (3,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -9.8811e-01 -9.4227e+00 8.43e+00 3.33e-01 7.96e-01 1.00e+00 1.52e+00 ------ 1 -4.2577e+00 -7.9472e+00 8.67e-01 4.50e-02 1.49e-01 5.83e-01 3.14e-01 8.93e-01 2 -5.2213e+00 -6.4568e+00 2.37e-01 1.03e-03 5.25e-03 1.17e-01 3.96e-02 9.90e-01 3 -5.6693e+00 -5.7783e+00 1.92e-02 2.68e-05 1.45e-04 6.68e-03 2.95e-03 9.81e-01 4 -5.7435e+00 -5.7520e+00 1.47e-03 3.00e-07 1.63e-06 4.80e-04 1.98e-04 9.90e-01 5 -5.7499e+00 -5.7500e+00 2.75e-05 3.02e-09 1.64e-08 8.97e-06 3.62e-06 9.90e-01 6 -5.7500e+00 -5.7500e+00 2.80e-07 3.02e-11 1.65e-10 9.12e-08 3.68e-08 9.90e-01 7 -5.7500e+00 -5.7500e+00 2.80e-09 3.01e-13 1.65e-12 9.12e-10 3.69e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 55.0ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- presolve: removed 3 constraints problem: variables = 3 constraints = 3 nnz(P) = 3 nnz(A) = 3 cones (total) = 1 : Nonnegative = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -2.8250e+00 -8.3917e+00 1.97e+00 6.45e-01 9.84e-01 1.00e+00 2.12e+00 ------ 1 7.3025e+00 -1.3831e+01 2.89e+00 9.14e-03 2.99e-02 1.68e+00 2.56e-01 9.90e-01 2 -1.3535e+00 -5.6563e+00 3.18e+00 1.71e-04 4.98e-04 3.93e-01 3.59e-02 9.90e-01 3 -3.3167e+00 -4.0089e+00 2.09e-01 2.35e-06 6.40e-06 6.61e-02 4.34e-03 9.90e-01 4 -3.6886e+00 -3.7730e+00 2.29e-02 2.64e-08 7.13e-08 7.30e-03 4.31e-04 9.90e-01 5 -3.7458e+00 -3.7512e+00 1.45e-03 2.78e-10 7.49e-10 4.48e-04 2.50e-05 9.90e-01 6 -3.7499e+00 -3.7500e+00 2.27e-05 2.80e-12 7.53e-12 7.04e-06 3.87e-07 9.90e-01 7 -3.7500e+00 -3.7500e+00 2.29e-07 4.24e-14 5.86e-13 7.10e-08 3.91e-09 9.90e-01 8 -3.7500e+00 -3.7500e+00 2.29e-09 9.66e-16 1.22e-14 7.10e-10 3.91e-11 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.14ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- presolve: removed 6 constraints problem: variables = 3 constraints = 0 nnz(P) = 3 nnz(A) = 0 cones (total) = 0 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -7.0000e+00 -7.0000e+00 2.54e-16 0.00e+00 5.52e-17 1.00e+00 1.00e+00 ------ 0 -7.0000e+00 -7.0000e+00 2.54e-16 0.00e+00 5.52e-17 1.00e+00 1.00e+00 ------ --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 266μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- presolve: removed 1 constraints problem: variables = 3 constraints = 5 nnz(P) = 3 nnz(A) = 5 cones (total) = 2 : Nonnegative = 2, numel = (3,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -9.8811e-01 -9.4227e+00 8.43e+00 3.33e-01 7.96e-01 1.00e+00 1.52e+00 ------ 1 -4.2577e+00 -7.9472e+00 8.67e-01 4.50e-02 1.49e-01 5.83e-01 3.14e-01 8.93e-01 2 -5.2213e+00 -6.4568e+00 2.37e-01 1.03e-03 5.25e-03 1.17e-01 3.96e-02 9.90e-01 3 -5.6693e+00 -5.7783e+00 1.92e-02 2.68e-05 1.45e-04 6.68e-03 2.95e-03 9.81e-01 4 -5.7435e+00 -5.7520e+00 1.47e-03 3.00e-07 1.63e-06 4.80e-04 1.98e-04 9.90e-01 5 -5.7499e+00 -5.7500e+00 2.75e-05 3.02e-09 1.64e-08 8.97e-06 3.62e-06 9.90e-01 6 -5.7500e+00 -5.7500e+00 2.80e-07 3.02e-11 1.65e-10 9.12e-08 3.68e-08 9.90e-01 7 -5.7500e+00 -5.7500e+00 2.80e-09 3.01e-13 1.64e-12 9.12e-10 3.69e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 43.2ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- presolve: removed 3 constraints problem: variables = 3 constraints = 3 nnz(P) = 3 nnz(A) = 3 cones (total) = 1 : Nonnegative = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -2.8250e+00 -8.3917e+00 1.97e+00 6.45e-01 9.84e-01 1.00e+00 2.12e+00 ------ 1 7.3025e+00 -1.3831e+01 2.89e+00 9.14e-03 2.99e-02 1.68e+00 2.56e-01 9.90e-01 2 -1.3535e+00 -5.6563e+00 3.18e+00 1.71e-04 4.98e-04 3.93e-01 3.59e-02 9.90e-01 3 -3.3167e+00 -4.0089e+00 2.09e-01 2.35e-06 6.40e-06 6.61e-02 4.34e-03 9.90e-01 4 -3.6886e+00 -3.7730e+00 2.29e-02 2.64e-08 7.13e-08 7.30e-03 4.31e-04 9.90e-01 5 -3.7458e+00 -3.7512e+00 1.45e-03 2.78e-10 7.49e-10 4.48e-04 2.50e-05 9.90e-01 6 -3.7499e+00 -3.7500e+00 2.27e-05 2.80e-12 7.53e-12 7.04e-06 3.87e-07 9.90e-01 7 -3.7500e+00 -3.7500e+00 2.29e-07 4.24e-14 5.86e-13 7.10e-08 3.91e-09 9.90e-01 8 -3.7500e+00 -3.7500e+00 2.29e-09 9.51e-16 1.22e-14 7.10e-10 3.91e-11 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.29ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- presolve: removed 6 constraints problem: variables = 3 constraints = 0 nnz(P) = 3 nnz(A) = 0 cones (total) = 0 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -7.0000e+00 -7.0000e+00 2.01e-16 0.00e+00 5.57e-17 1.00e+00 1.00e+00 ------ 0 -7.0000e+00 -7.0000e+00 2.01e-16 0.00e+00 5.57e-17 1.00e+00 1.00e+00 ------ --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 508μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.98e-17 1.31e-16 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 1.20e-16 4.04e-16 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 4.73e-17 1.13e-16 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 5.82e-17 8.21e-17 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 0.00e+00 0.00e+00 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.37e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.23e-16 1.23e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 931μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.4159e-01 -8.6088e+00 8.47e+00 1.05e-16 1.62e-16 1.00e+00 1.89e+00 ------ 1 -2.1810e-01 -7.4451e-01 5.26e-01 6.62e-17 1.92e-16 5.93e-02 1.17e-01 9.43e-01 2 -2.5060e-01 -3.0138e-01 5.08e-02 1.16e-16 7.81e-17 5.05e-03 9.67e-03 9.90e-01 3 -2.5126e-01 -2.5289e-01 1.63e-03 5.84e-17 1.41e-16 1.60e-04 2.98e-04 9.90e-01 4 -2.5126e-01 -2.5127e-01 1.77e-05 8.26e-17 1.41e-16 1.74e-06 3.23e-06 9.90e-01 5 -2.5126e-01 -2.5126e-01 1.77e-07 2.71e-14 1.26e-13 1.74e-08 3.23e-08 9.90e-01 6 -2.5126e-01 -2.5126e-01 1.77e-09 5.57e-16 2.53e-15 1.74e-10 3.23e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 888μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.4062e-01 -4.7542e+01 4.74e+01 7.48e-17 8.75e-17 1.00e+00 9.68e+00 ------ 1 -1.6746e-01 -1.4363e+00 1.27e+00 1.93e-15 1.47e-15 2.68e-02 2.59e-01 9.73e-01 2 -2.4806e-01 -3.7123e-01 1.23e-01 1.01e-16 1.06e-16 2.60e-03 2.24e-02 9.90e-01 3 -2.5124e-01 -2.5804e-01 6.80e-03 1.56e-16 2.35e-16 1.38e-04 1.14e-03 9.90e-01 4 -2.5126e-01 -2.5135e-01 9.25e-05 9.11e-17 1.03e-16 1.88e-06 1.54e-05 9.90e-01 5 -2.5126e-01 -2.5126e-01 9.30e-07 1.44e-13 7.21e-13 1.89e-08 1.54e-07 9.90e-01 6 -2.5126e-01 -2.5126e-01 9.30e-09 2.85e-15 1.45e-14 1.89e-10 1.54e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 767μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.98e-17 1.31e-16 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 1.20e-16 4.04e-16 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 4.73e-17 1.13e-16 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 5.82e-17 8.21e-17 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 0.00e+00 0.00e+00 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.37e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.23e-16 1.23e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 727μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.4159e-01 -8.6088e+00 8.47e+00 1.05e-16 1.62e-16 1.00e+00 1.89e+00 ------ 1 -2.1810e-01 -7.4451e-01 5.26e-01 6.62e-17 1.92e-16 5.93e-02 1.17e-01 9.43e-01 2 -2.5060e-01 -3.0138e-01 5.08e-02 1.16e-16 7.81e-17 5.05e-03 9.67e-03 9.90e-01 3 -2.5126e-01 -2.5289e-01 1.63e-03 5.84e-17 1.41e-16 1.60e-04 2.98e-04 9.90e-01 4 -2.5126e-01 -2.5127e-01 1.77e-05 8.26e-17 1.41e-16 1.74e-06 3.23e-06 9.90e-01 5 -2.5126e-01 -2.5126e-01 1.77e-07 2.71e-14 1.26e-13 1.74e-08 3.23e-08 9.90e-01 6 -2.5126e-01 -2.5126e-01 1.77e-09 5.57e-16 2.53e-15 1.74e-10 3.23e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 845μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.4062e-01 -4.7542e+01 4.74e+01 7.48e-17 8.75e-17 1.00e+00 9.68e+00 ------ 1 -1.6746e-01 -1.4363e+00 1.27e+00 1.93e-15 1.47e-15 2.68e-02 2.59e-01 9.73e-01 2 -2.4806e-01 -3.7123e-01 1.23e-01 1.01e-16 1.06e-16 2.60e-03 2.24e-02 9.90e-01 3 -2.5124e-01 -2.5804e-01 6.80e-03 1.56e-16 2.35e-16 1.38e-04 1.14e-03 9.90e-01 4 -2.5126e-01 -2.5135e-01 9.25e-05 9.11e-17 1.03e-16 1.88e-06 1.54e-05 9.90e-01 5 -2.5126e-01 -2.5126e-01 9.30e-07 1.44e-13 7.21e-13 1.89e-08 1.54e-07 9.90e-01 6 -2.5126e-01 -2.5126e-01 9.30e-09 2.85e-15 1.45e-14 1.89e-10 1.54e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 806μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.98e-17 1.31e-16 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 1.20e-16 4.04e-16 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 4.73e-17 1.13e-16 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 5.82e-17 8.21e-17 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 0.00e+00 0.00e+00 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.37e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.23e-16 1.23e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 684μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.0704e-01 -9.3436e+00 9.24e+00 6.18e-17 3.84e-17 1.00e+00 2.05e+00 ------ 1 -1.3345e-01 -4.3967e-01 3.06e-01 1.44e-16 3.56e-16 3.15e-02 6.73e-02 9.70e-01 2 -1.3636e-01 -1.4446e-01 8.10e-03 1.21e-16 1.87e-16 7.78e-04 1.72e-03 9.90e-01 3 -1.3636e-01 -1.3645e-01 8.73e-05 1.26e-16 1.63e-16 8.38e-06 1.85e-05 9.90e-01 4 -1.3636e-01 -1.3636e-01 8.74e-07 5.90e-14 6.53e-13 8.39e-08 1.85e-07 9.90e-01 5 -1.3636e-01 -1.3636e-01 8.74e-09 1.20e-15 1.32e-14 8.39e-10 1.85e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 700μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -9.5058e-02 -1.0423e+01 1.03e+01 7.37e-17 1.61e-16 1.00e+00 2.27e+00 ------ 1 -1.3353e-01 -4.6652e-01 3.33e-01 1.01e-16 5.14e-16 3.00e-02 7.23e-02 9.72e-01 2 -1.3636e-01 -1.4465e-01 8.29e-03 7.99e-17 9.34e-17 7.13e-04 1.74e-03 9.90e-01 3 -1.3636e-01 -1.3645e-01 8.83e-05 1.22e-16 9.38e-17 7.60e-06 1.86e-05 9.90e-01 4 -1.3636e-01 -1.3636e-01 8.83e-07 4.49e-14 6.19e-13 7.60e-08 1.86e-07 9.90e-01 5 -1.3636e-01 -1.3636e-01 8.83e-09 8.39e-16 1.23e-14 7.60e-10 1.86e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 896μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.98e-17 1.31e-16 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 1.20e-16 4.04e-16 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 4.73e-17 1.13e-16 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 5.82e-17 8.21e-17 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 0.00e+00 0.00e+00 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.37e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.23e-16 1.23e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 722μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -7.0404e-02 -1.1616e+01 1.15e+01 3.14e-01 6.22e+02 1.00e+00 3.06e+00 ------ 1 -1.1835e-01 -7.6062e-01 6.42e-01 2.17e-02 1.53e+02 8.48e-02 2.61e-01 9.51e-01 2 -1.2538e-01 -1.4266e-01 1.73e-02 2.18e-04 1.94e+00 3.04e-03 8.12e-03 9.90e-01 3 -1.2554e-01 -1.2594e-01 3.96e-04 4.37e-06 3.87e-02 2.99e-05 1.75e-04 9.80e-01 4 -1.2575e-01 -1.2575e-01 3.95e-06 4.27e-08 3.76e-04 3.07e-07 1.82e-06 9.90e-01 5 -1.2575e-01 -1.2575e-01 3.95e-08 4.27e-10 3.76e-06 3.07e-09 1.82e-08 9.90e-01 6 -1.2575e-01 -1.2575e-01 3.95e-10 4.27e-12 3.75e-08 3.07e-11 1.82e-10 9.90e-01 7 -1.2575e-01 -1.2575e-01 3.95e-12 4.28e-14 3.76e-10 3.07e-13 1.82e-12 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 850μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 5.7778e-01 -3.3740e+01 3.43e+01 1.64e-16 4.24e-02 1.00e+00 2.80e+01 ------ 1 3.9644e-01 -2.4345e+00 2.83e+00 1.99e-16 2.39e-02 9.65e-02 2.31e+00 9.19e-01 2 -2.8708e-02 -3.7742e-01 3.49e-01 6.23e-16 1.95e-03 7.15e-02 2.63e-01 9.90e-01 3 -1.1617e-01 -1.3850e-01 2.23e-02 8.20e-16 2.52e-05 4.04e-03 1.54e-02 9.90e-01 4 -1.2554e-01 -1.2602e-01 4.83e-04 8.04e-16 2.57e-07 8.66e-05 3.26e-04 9.90e-01 5 -1.2575e-01 -1.2575e-01 4.96e-06 1.75e-16 2.57e-09 8.90e-07 3.35e-06 9.90e-01 6 -1.2575e-01 -1.2575e-01 4.97e-08 7.60e-14 1.99e-11 8.90e-09 3.35e-08 9.90e-01 7 -1.2575e-01 -1.2575e-01 4.97e-10 1.54e-15 1.41e-13 8.90e-11 3.35e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 867μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.98e-17 1.31e-16 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 1.20e-16 4.04e-16 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 4.73e-17 1.13e-16 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 5.82e-17 8.21e-17 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 0.00e+00 0.00e+00 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.37e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.23e-16 1.23e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 677μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -7.0404e-02 -1.1616e+01 1.15e+01 3.14e-01 6.22e+02 1.00e+00 3.06e+00 ------ 1 -1.1835e-01 -7.6062e-01 6.42e-01 2.17e-02 1.53e+02 8.48e-02 2.61e-01 9.51e-01 2 -1.2538e-01 -1.4266e-01 1.73e-02 2.18e-04 1.94e+00 3.04e-03 8.12e-03 9.90e-01 3 -1.2554e-01 -1.2594e-01 3.96e-04 4.37e-06 3.87e-02 2.99e-05 1.75e-04 9.80e-01 4 -1.2575e-01 -1.2575e-01 3.95e-06 4.27e-08 3.76e-04 3.07e-07 1.82e-06 9.90e-01 5 -1.2575e-01 -1.2575e-01 3.95e-08 4.27e-10 3.76e-06 3.07e-09 1.82e-08 9.90e-01 6 -1.2575e-01 -1.2575e-01 3.95e-10 4.27e-12 3.75e-08 3.07e-11 1.82e-10 9.90e-01 7 -1.2575e-01 -1.2575e-01 3.95e-12 4.28e-14 3.76e-10 3.07e-13 1.82e-12 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 908μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 5.7778e-01 -3.3740e+01 3.43e+01 1.64e-16 4.24e-02 1.00e+00 2.80e+01 ------ 1 3.9644e-01 -2.4345e+00 2.83e+00 1.99e-16 2.39e-02 9.65e-02 2.31e+00 9.19e-01 2 -2.8708e-02 -3.7742e-01 3.49e-01 6.23e-16 1.95e-03 7.15e-02 2.63e-01 9.90e-01 3 -1.1617e-01 -1.3850e-01 2.23e-02 8.20e-16 2.52e-05 4.04e-03 1.54e-02 9.90e-01 4 -1.2554e-01 -1.2602e-01 4.83e-04 8.04e-16 2.57e-07 8.66e-05 3.26e-04 9.90e-01 5 -1.2575e-01 -1.2575e-01 4.96e-06 1.75e-16 2.57e-09 8.90e-07 3.35e-06 9.90e-01 6 -1.2575e-01 -1.2575e-01 4.97e-08 7.60e-14 1.99e-11 8.90e-09 3.35e-08 9.90e-01 7 -1.2575e-01 -1.2575e-01 4.97e-10 1.54e-15 1.41e-13 8.90e-11 3.35e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 942μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.98e-17 1.31e-16 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 1.20e-16 4.04e-16 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 4.73e-17 1.13e-16 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 5.82e-17 8.21e-17 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 0.00e+00 0.00e+00 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.37e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.23e-16 1.23e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 778μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -5.2648e-02 -1.1770e+01 1.17e+01 4.79e-17 5.58e-01 1.00e+00 2.28e+00 ------ 1 -2.2554e-01 -1.2213e+00 9.96e-01 1.49e-16 1.69e-01 1.21e-01 1.85e-01 9.28e-01 2 -2.8546e-01 -3.9331e-01 1.08e-01 0.00e+00 2.76e-03 1.26e-02 1.56e-02 9.90e-01 3 -2.8571e-01 -2.8724e-01 1.53e-03 8.68e-17 2.88e-05 1.78e-04 2.18e-04 9.90e-01 4 -2.8571e-01 -2.8573e-01 1.54e-05 1.23e-16 2.89e-07 1.79e-06 2.20e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 1.54e-07 1.33e-14 2.89e-09 1.79e-08 2.20e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 1.54e-09 3.25e-16 2.89e-11 1.79e-10 2.20e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 861μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 5.8896e-02 -1.7717e+01 1.78e+01 6.93e-17 6.79e-04 1.00e+00 3.76e+00 ------ 1 -2.3926e-01 -1.3922e+00 1.15e+00 1.40e-16 1.61e-04 5.97e-02 2.39e-01 9.53e-01 2 -2.8532e-01 -3.7098e-01 8.57e-02 7.36e-17 2.55e-06 4.11e-03 1.58e-02 9.90e-01 3 -2.8571e-01 -2.8730e-01 1.59e-03 7.45e-17 2.68e-08 7.60e-05 2.88e-04 9.90e-01 4 -2.8571e-01 -2.8573e-01 1.61e-05 6.67e-17 2.68e-10 7.73e-07 2.93e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 1.61e-07 8.07e-15 2.61e-12 7.73e-09 2.93e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 1.61e-09 1.11e-16 2.52e-14 7.73e-11 2.93e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 864μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.98e-17 1.31e-16 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 1.20e-16 4.04e-16 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 4.73e-17 1.13e-16 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 5.82e-17 8.21e-17 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 0.00e+00 0.00e+00 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.37e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.23e-16 1.23e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 713μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -6.9428e+00 -2.1224e+01 2.06e+00 1.67e-01 2.16e-17 1.00e+00 4.63e+00 ------ 1 -7.9334e+00 -8.5167e+00 7.35e-02 6.78e-03 7.92e-17 7.69e-02 2.57e-01 9.66e-01 2 -7.9992e+00 -8.0063e+00 8.89e-04 7.69e-05 7.88e-17 9.38e-04 3.15e-03 9.89e-01 3 -8.0000e+00 -8.0001e+00 8.99e-06 7.69e-07 7.88e-17 9.47e-06 3.18e-05 9.90e-01 4 -8.0000e+00 -8.0000e+00 8.99e-08 7.69e-09 9.18e-15 9.47e-08 3.18e-07 9.90e-01 5 -8.0000e+00 -8.0000e+00 8.99e-10 7.69e-11 1.73e-16 9.47e-10 3.18e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 831μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -2.9178e+00 -5.6881e+01 1.85e+01 1.03e-02 5.72e-17 1.00e+00 1.75e+00 ------ 1 -5.5540e+00 -1.1320e+01 1.04e+00 9.03e-04 6.27e-18 1.03e-01 1.88e-01 9.03e-01 2 -7.7724e+00 -8.2300e+00 5.89e-02 1.15e-05 1.43e-17 7.77e-03 1.33e-02 9.90e-01 3 -7.9956e+00 -8.0046e+00 1.13e-03 1.14e-07 6.89e-17 1.52e-04 2.56e-04 9.90e-01 4 -8.0000e+00 -8.0000e+00 1.15e-05 1.14e-09 6.93e-17 1.55e-06 2.61e-06 9.90e-01 5 -8.0000e+00 -8.0000e+00 1.15e-07 1.14e-11 7.71e-14 1.55e-08 2.61e-08 9.90e-01 6 -8.0000e+00 -8.0000e+00 1.15e-09 1.14e-13 1.61e-15 1.55e-10 2.61e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 806μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.98e-17 1.31e-16 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 1.20e-16 4.04e-16 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 4.73e-17 1.13e-16 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 5.82e-17 8.21e-17 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 0.00e+00 0.00e+00 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.37e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.23e-16 1.23e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 774μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.3994e+01 -2.3386e+01 6.71e-01 3.13e-01 5.53e-17 1.00e+00 6.90e+00 ------ 1 -9.5508e+00 -1.0636e+01 1.14e-01 2.75e-02 1.57e-17 1.72e-01 8.36e-01 9.53e-01 2 -9.0051e+00 -9.0228e+00 1.97e-03 2.80e-04 8.78e-17 2.76e-03 1.23e-02 9.90e-01 3 -9.0001e+00 -9.0002e+00 2.02e-05 2.80e-06 0.00e+00 2.81e-05 1.25e-04 9.90e-01 4 -9.0000e+00 -9.0000e+00 2.02e-07 2.80e-08 2.63e-14 2.81e-07 1.25e-06 9.90e-01 5 -9.0000e+00 -9.0000e+00 2.02e-09 2.80e-10 5.20e-16 2.81e-09 1.25e-08 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 725μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.7316e+00 -5.8750e+01 1.47e+01 1.09e-01 2.87e-17 1.00e+00 1.80e+00 ------ 1 -6.7249e+00 -1.2157e+01 8.08e-01 1.00e-02 1.43e-16 9.91e-02 2.03e-01 8.94e-01 2 -8.9229e+00 -9.1034e+00 2.02e-02 1.10e-04 1.03e-16 3.35e-03 6.46e-03 9.90e-01 3 -8.9991e+00 -9.0011e+00 2.22e-04 1.10e-06 1.03e-16 3.70e-05 7.12e-05 9.90e-01 4 -9.0000e+00 -9.0000e+00 2.22e-06 1.10e-08 7.66e-18 3.70e-07 7.13e-07 9.90e-01 5 -9.0000e+00 -9.0000e+00 2.22e-08 1.10e-10 9.19e-15 3.70e-09 7.13e-09 9.90e-01 6 -9.0000e+00 -9.0000e+00 2.22e-10 1.10e-12 2.48e-16 3.70e-11 7.13e-11 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 887μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.98e-17 1.31e-16 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 1.20e-16 4.04e-16 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 4.73e-17 1.13e-16 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 5.82e-17 8.21e-17 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 0.00e+00 0.00e+00 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.37e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.23e-16 1.23e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 807μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -4.4929e-02 1.36e-01 8.87e-01 4.09e-17 1.00e+00 1.36e+00 ------ 1 -2.0693e-02 -4.2083e-04 2.03e-02 3.82e-02 6.02e-17 1.16e-01 3.98e-02 9.79e-01 2 -1.9511e-04 -3.6511e-08 1.95e-04 4.13e-04 6.02e-17 2.06e-03 5.36e-04 9.89e-01 3 -1.9504e-06 -3.6475e-12 1.95e-06 4.13e-06 9.04e-17 2.06e-05 5.38e-06 9.90e-01 4 -1.9504e-08 -3.6474e-16 1.95e-08 4.13e-08 6.42e-15 2.06e-07 5.38e-08 9.90e-01 5 -1.9504e-10 -3.6474e-20 1.95e-10 4.13e-10 1.11e-16 2.06e-09 5.38e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 745μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -4.4929e-02 1.36e-01 8.87e-01 4.09e-17 1.00e+00 1.36e+00 ------ 1 -2.0693e-02 -4.2083e-04 2.03e-02 3.82e-02 6.02e-17 1.16e-01 3.98e-02 9.79e-01 2 -1.9511e-04 -3.6511e-08 1.95e-04 4.13e-04 6.02e-17 2.06e-03 5.36e-04 9.89e-01 3 -1.9504e-06 -3.6475e-12 1.95e-06 4.13e-06 9.04e-17 2.06e-05 5.38e-06 9.90e-01 4 -1.9504e-08 -3.6474e-16 1.95e-08 4.13e-08 6.42e-15 2.06e-07 5.38e-08 9.90e-01 5 -1.9504e-10 -3.6474e-20 1.95e-10 4.13e-10 1.11e-16 2.06e-09 5.38e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 700μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.98e-17 1.31e-16 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 1.20e-16 4.04e-16 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 4.73e-17 1.13e-16 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 5.82e-17 8.21e-17 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 0.00e+00 0.00e+00 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.37e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.23e-16 1.23e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 690μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -4.6023e+00 4.42e+00 3.97e-01 8.93e-17 1.00e+00 3.17e+00 ------ 1 -1.2870e-01 -3.5325e-01 2.25e-01 2.37e-02 3.87e-17 6.10e-02 2.16e-01 9.65e-01 2 -1.2500e-01 -1.3974e-01 1.47e-02 3.16e-04 1.93e-17 3.87e-03 8.60e-03 9.87e-01 3 -1.2500e-01 -1.2521e-01 2.10e-04 3.29e-06 3.35e-17 5.53e-05 1.17e-04 9.90e-01 4 -1.2500e-01 -1.2500e-01 2.12e-06 3.30e-08 3.87e-17 5.57e-07 1.18e-06 9.90e-01 5 -1.2500e-01 -1.2500e-01 2.12e-08 3.30e-10 4.24e-15 5.57e-09 1.18e-08 9.90e-01 6 -1.2500e-01 -1.2500e-01 2.12e-10 3.30e-12 9.08e-17 5.57e-11 1.18e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 882μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -4.6023e+00 4.42e+00 3.97e-01 8.93e-17 1.00e+00 3.17e+00 ------ 1 -1.2870e-01 -3.5325e-01 2.25e-01 2.37e-02 3.87e-17 6.10e-02 2.16e-01 9.65e-01 2 -1.2500e-01 -1.3974e-01 1.47e-02 3.16e-04 1.93e-17 3.87e-03 8.60e-03 9.87e-01 3 -1.2500e-01 -1.2521e-01 2.10e-04 3.29e-06 3.35e-17 5.53e-05 1.17e-04 9.90e-01 4 -1.2500e-01 -1.2500e-01 2.12e-06 3.30e-08 3.87e-17 5.57e-07 1.18e-06 9.90e-01 5 -1.2500e-01 -1.2500e-01 2.12e-08 3.30e-10 4.24e-15 5.57e-09 1.18e-08 9.90e-01 6 -1.2500e-01 -1.2500e-01 2.12e-10 3.30e-12 9.08e-17 5.57e-11 1.18e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 888μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.98e-17 1.31e-16 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 1.20e-16 4.04e-16 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 4.73e-17 1.13e-16 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 5.82e-17 8.21e-17 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 0.00e+00 0.00e+00 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.37e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.23e-16 1.23e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 691μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.30e-17 2.09e-18 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 6.17e-17 4.06e-17 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 7.91e-19 2.17e-17 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 9.16e-21 3.42e-18 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 9.25e-23 1.12e-19 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.38e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.48e-16 1.28e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.85ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.4159e-01 -8.6088e+00 8.47e+00 6.31e-17 2.01e-18 1.00e+00 1.89e+00 ------ 1 -2.1810e-01 -7.4451e-01 5.26e-01 5.21e-17 3.64e-17 5.93e-02 1.17e-01 9.43e-01 2 -2.5060e-01 -3.0138e-01 5.08e-02 8.19e-19 1.93e-17 5.05e-03 9.67e-03 9.90e-01 3 -2.5126e-01 -2.5289e-01 1.63e-03 2.27e-20 2.24e-18 1.60e-04 2.98e-04 9.90e-01 4 -2.5126e-01 -2.5127e-01 1.77e-05 2.48e-22 8.29e-20 1.74e-06 3.23e-06 9.90e-01 5 -2.5126e-01 -2.5126e-01 1.77e-07 2.71e-14 1.26e-13 1.74e-08 3.23e-08 9.90e-01 6 -2.5126e-01 -2.5126e-01 1.77e-09 5.42e-16 2.52e-15 1.74e-10 3.23e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.95ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.4062e-01 -4.7542e+01 4.74e+01 6.31e-17 5.27e-19 1.00e+00 9.68e+00 ------ 1 -1.6746e-01 -1.4363e+00 1.27e+00 1.94e-15 1.19e-16 2.68e-02 2.59e-01 9.73e-01 2 -2.4806e-01 -3.7123e-01 1.23e-01 2.47e-17 4.56e-17 2.60e-03 2.24e-02 9.90e-01 3 -2.5124e-01 -2.5804e-01 6.80e-03 3.09e-19 9.48e-18 1.38e-04 1.14e-03 9.90e-01 4 -2.5126e-01 -2.5135e-01 9.25e-05 3.46e-21 6.24e-19 1.88e-06 1.54e-05 9.90e-01 5 -2.5126e-01 -2.5126e-01 9.30e-07 1.44e-13 7.21e-13 1.89e-08 1.54e-07 9.90e-01 6 -2.5126e-01 -2.5126e-01 9.30e-09 2.89e-15 1.45e-14 1.89e-10 1.54e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.06ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.30e-17 2.09e-18 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 6.17e-17 4.06e-17 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 7.91e-19 2.17e-17 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 9.16e-21 3.42e-18 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 9.25e-23 1.12e-19 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.38e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.48e-16 1.28e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.49ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.4159e-01 -8.6088e+00 8.47e+00 6.31e-17 2.01e-18 1.00e+00 1.89e+00 ------ 1 -2.1810e-01 -7.4451e-01 5.26e-01 5.21e-17 3.64e-17 5.93e-02 1.17e-01 9.43e-01 2 -2.5060e-01 -3.0138e-01 5.08e-02 8.19e-19 1.93e-17 5.05e-03 9.67e-03 9.90e-01 3 -2.5126e-01 -2.5289e-01 1.63e-03 2.27e-20 2.24e-18 1.60e-04 2.98e-04 9.90e-01 4 -2.5126e-01 -2.5127e-01 1.77e-05 2.48e-22 8.29e-20 1.74e-06 3.23e-06 9.90e-01 5 -2.5126e-01 -2.5126e-01 1.77e-07 2.71e-14 1.26e-13 1.74e-08 3.23e-08 9.90e-01 6 -2.5126e-01 -2.5126e-01 1.77e-09 5.42e-16 2.52e-15 1.74e-10 3.23e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.77ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.4062e-01 -4.7542e+01 4.74e+01 6.31e-17 5.27e-19 1.00e+00 9.68e+00 ------ 1 -1.6746e-01 -1.4363e+00 1.27e+00 1.94e-15 1.19e-16 2.68e-02 2.59e-01 9.73e-01 2 -2.4806e-01 -3.7123e-01 1.23e-01 2.47e-17 4.56e-17 2.60e-03 2.24e-02 9.90e-01 3 -2.5124e-01 -2.5804e-01 6.80e-03 3.09e-19 9.48e-18 1.38e-04 1.14e-03 9.90e-01 4 -2.5126e-01 -2.5135e-01 9.25e-05 3.46e-21 6.24e-19 1.88e-06 1.54e-05 9.90e-01 5 -2.5126e-01 -2.5126e-01 9.30e-07 1.44e-13 7.21e-13 1.89e-08 1.54e-07 9.90e-01 6 -2.5126e-01 -2.5126e-01 9.30e-09 2.89e-15 1.45e-14 1.89e-10 1.54e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 35.1ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.30e-17 2.09e-18 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 6.17e-17 4.06e-17 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 7.91e-19 2.17e-17 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 9.16e-21 3.42e-18 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 9.25e-23 1.12e-19 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.38e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.48e-16 1.28e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.54ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.0704e-01 -9.3436e+00 9.24e+00 6.43e-17 1.25e-18 1.00e+00 2.05e+00 ------ 1 -1.3345e-01 -4.3967e-01 3.06e-01 6.67e-17 2.54e-17 3.15e-02 6.73e-02 9.70e-01 2 -1.3636e-01 -1.4446e-01 8.10e-03 8.01e-19 3.18e-17 7.78e-04 1.72e-03 9.90e-01 3 -1.3636e-01 -1.3645e-01 8.73e-05 8.10e-21 1.55e-18 8.38e-06 1.85e-05 9.90e-01 4 -1.3636e-01 -1.3636e-01 8.74e-07 5.90e-14 6.53e-13 8.39e-08 1.85e-07 9.90e-01 5 -1.3636e-01 -1.3636e-01 8.74e-09 1.18e-15 1.31e-14 8.39e-10 1.85e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.18ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -9.5058e-02 -1.0423e+01 1.03e+01 6.48e-17 1.65e-18 1.00e+00 2.27e+00 ------ 1 -1.3353e-01 -4.6652e-01 3.33e-01 2.42e-17 3.60e-17 3.00e-02 7.23e-02 9.72e-01 2 -1.3636e-01 -1.4465e-01 8.29e-03 2.54e-19 3.61e-17 7.13e-04 1.74e-03 9.90e-01 3 -1.3636e-01 -1.3645e-01 8.83e-05 2.55e-21 2.02e-18 7.60e-06 1.86e-05 9.90e-01 4 -1.3636e-01 -1.3636e-01 8.83e-07 4.49e-14 6.19e-13 7.60e-08 1.86e-07 9.90e-01 5 -1.3636e-01 -1.3636e-01 8.83e-09 8.98e-16 1.24e-14 7.60e-10 1.86e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.18ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.30e-17 2.09e-18 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 6.17e-17 4.06e-17 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 7.91e-19 2.17e-17 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 9.16e-21 3.42e-18 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 9.25e-23 1.12e-19 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.38e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.48e-16 1.28e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.92ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -7.0404e-02 -1.1616e+01 1.15e+01 3.14e-01 6.22e+02 1.00e+00 3.06e+00 ------ 1 -1.1835e-01 -7.6062e-01 6.42e-01 2.17e-02 1.53e+02 8.48e-02 2.61e-01 9.51e-01 2 -1.2538e-01 -1.4266e-01 1.73e-02 2.18e-04 1.94e+00 3.04e-03 8.12e-03 9.90e-01 3 -1.2554e-01 -1.2594e-01 3.96e-04 4.37e-06 3.87e-02 2.99e-05 1.75e-04 9.80e-01 4 -1.2575e-01 -1.2575e-01 3.95e-06 4.27e-08 3.76e-04 3.07e-07 1.82e-06 9.90e-01 5 -1.2575e-01 -1.2575e-01 3.95e-08 4.27e-10 3.76e-06 3.07e-09 1.82e-08 9.90e-01 6 -1.2575e-01 -1.2575e-01 3.95e-10 4.27e-12 3.75e-08 3.07e-11 1.82e-10 9.90e-01 7 -1.2575e-01 -1.2575e-01 3.95e-12 4.27e-14 3.75e-10 3.07e-13 1.82e-12 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.30ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 5.7778e-01 -3.3740e+01 3.43e+01 1.50e-16 4.24e-02 1.00e+00 2.80e+01 ------ 1 3.9644e-01 -2.4345e+00 2.83e+00 6.08e-18 2.39e-02 9.65e-02 2.31e+00 9.19e-01 2 -2.8708e-02 -3.7742e-01 3.49e-01 1.93e-16 1.95e-03 7.15e-02 2.63e-01 9.90e-01 3 -1.1617e-01 -1.3850e-01 2.23e-02 6.46e-16 2.52e-05 4.04e-03 1.54e-02 9.90e-01 4 -1.2554e-01 -1.2602e-01 4.83e-04 4.29e-16 2.57e-07 8.66e-05 3.26e-04 9.90e-01 5 -1.2575e-01 -1.2575e-01 4.96e-06 1.36e-17 2.57e-09 8.90e-07 3.35e-06 9.90e-01 6 -1.2575e-01 -1.2575e-01 4.97e-08 7.60e-14 1.99e-11 8.90e-09 3.35e-08 9.90e-01 7 -1.2575e-01 -1.2575e-01 4.97e-10 1.52e-15 1.41e-13 8.90e-11 3.35e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.18ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.30e-17 2.09e-18 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 6.17e-17 4.06e-17 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 7.91e-19 2.17e-17 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 9.16e-21 3.42e-18 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 9.25e-23 1.12e-19 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.38e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.48e-16 1.28e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.79ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -7.0404e-02 -1.1616e+01 1.15e+01 3.14e-01 6.22e+02 1.00e+00 3.06e+00 ------ 1 -1.1835e-01 -7.6062e-01 6.42e-01 2.17e-02 1.53e+02 8.48e-02 2.61e-01 9.51e-01 2 -1.2538e-01 -1.4266e-01 1.73e-02 2.18e-04 1.94e+00 3.04e-03 8.12e-03 9.90e-01 3 -1.2554e-01 -1.2594e-01 3.96e-04 4.37e-06 3.87e-02 2.99e-05 1.75e-04 9.80e-01 4 -1.2575e-01 -1.2575e-01 3.95e-06 4.27e-08 3.76e-04 3.07e-07 1.82e-06 9.90e-01 5 -1.2575e-01 -1.2575e-01 3.95e-08 4.27e-10 3.76e-06 3.07e-09 1.82e-08 9.90e-01 6 -1.2575e-01 -1.2575e-01 3.95e-10 4.27e-12 3.75e-08 3.07e-11 1.82e-10 9.90e-01 7 -1.2575e-01 -1.2575e-01 3.95e-12 4.27e-14 3.75e-10 3.07e-13 1.82e-12 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.24ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 5.7778e-01 -3.3740e+01 3.43e+01 1.50e-16 4.24e-02 1.00e+00 2.80e+01 ------ 1 3.9644e-01 -2.4345e+00 2.83e+00 6.08e-18 2.39e-02 9.65e-02 2.31e+00 9.19e-01 2 -2.8708e-02 -3.7742e-01 3.49e-01 1.93e-16 1.95e-03 7.15e-02 2.63e-01 9.90e-01 3 -1.1617e-01 -1.3850e-01 2.23e-02 6.46e-16 2.52e-05 4.04e-03 1.54e-02 9.90e-01 4 -1.2554e-01 -1.2602e-01 4.83e-04 4.29e-16 2.57e-07 8.66e-05 3.26e-04 9.90e-01 5 -1.2575e-01 -1.2575e-01 4.96e-06 1.36e-17 2.57e-09 8.90e-07 3.35e-06 9.90e-01 6 -1.2575e-01 -1.2575e-01 4.97e-08 7.60e-14 1.99e-11 8.90e-09 3.35e-08 9.90e-01 7 -1.2575e-01 -1.2575e-01 4.97e-10 1.52e-15 1.41e-13 8.90e-11 3.35e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.37ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.30e-17 2.09e-18 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 6.17e-17 4.06e-17 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 7.91e-19 2.17e-17 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 9.16e-21 3.42e-18 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 9.25e-23 1.12e-19 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.38e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.48e-16 1.28e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.90ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -5.2648e-02 -1.1770e+01 1.17e+01 5.81e-17 5.58e-01 1.00e+00 2.28e+00 ------ 1 -2.2554e-01 -1.2213e+00 9.96e-01 8.01e-17 1.69e-01 1.21e-01 1.85e-01 9.28e-01 2 -2.8546e-01 -3.9331e-01 1.08e-01 1.76e-18 2.76e-03 1.26e-02 1.56e-02 9.90e-01 3 -2.8571e-01 -2.8724e-01 1.53e-03 4.07e-20 2.88e-05 1.78e-04 2.18e-04 9.90e-01 4 -2.8571e-01 -2.8573e-01 1.54e-05 4.12e-22 2.89e-07 1.79e-06 2.20e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 1.54e-07 1.33e-14 2.89e-09 1.79e-08 2.20e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 1.54e-09 2.66e-16 2.89e-11 1.79e-10 2.20e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.01ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 5.8896e-02 -1.7717e+01 1.78e+01 6.41e-17 6.79e-04 1.00e+00 3.76e+00 ------ 1 -2.3926e-01 -1.3922e+00 1.15e+00 5.12e-17 1.61e-04 5.97e-02 2.39e-01 9.53e-01 2 -2.8532e-01 -3.7098e-01 8.57e-02 5.82e-19 2.55e-06 4.11e-03 1.58e-02 9.90e-01 3 -2.8571e-01 -2.8730e-01 1.59e-03 7.20e-21 2.68e-08 7.60e-05 2.88e-04 9.90e-01 4 -2.8571e-01 -2.8573e-01 1.61e-05 7.28e-23 2.68e-10 7.73e-07 2.93e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 1.61e-07 7.98e-15 2.61e-12 7.73e-09 2.93e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 1.61e-09 1.60e-16 2.53e-14 7.73e-11 2.93e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.79ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.30e-17 2.09e-18 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 6.17e-17 4.06e-17 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 7.91e-19 2.17e-17 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 9.16e-21 3.42e-18 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 9.25e-23 1.12e-19 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.38e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.48e-16 1.28e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.69ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -6.9428e+00 -2.1224e+01 2.06e+00 1.67e-01 5.14e-18 1.00e+00 4.63e+00 ------ 1 -7.9334e+00 -8.5167e+00 7.35e-02 6.78e-03 3.28e-18 7.69e-02 2.57e-01 9.66e-01 2 -7.9992e+00 -8.0063e+00 8.89e-04 7.69e-05 1.53e-19 9.38e-04 3.15e-03 9.89e-01 3 -8.0000e+00 -8.0001e+00 8.99e-06 7.69e-07 9.60e-21 9.47e-06 3.18e-05 9.90e-01 4 -8.0000e+00 -8.0000e+00 8.99e-08 7.69e-09 9.15e-15 9.47e-08 3.18e-07 9.90e-01 5 -8.0000e+00 -8.0000e+00 8.99e-10 7.69e-11 1.83e-16 9.47e-10 3.18e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.53ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -2.9178e+00 -5.6881e+01 1.85e+01 1.03e-02 4.86e-18 1.00e+00 1.75e+00 ------ 1 -5.5540e+00 -1.1320e+01 1.04e+00 9.03e-04 3.95e-17 1.03e-01 1.88e-01 9.03e-01 2 -7.7724e+00 -8.2300e+00 5.89e-02 1.15e-05 2.41e-17 7.77e-03 1.33e-02 9.90e-01 3 -7.9956e+00 -8.0046e+00 1.13e-03 1.14e-07 8.07e-18 1.52e-04 2.56e-04 9.90e-01 4 -8.0000e+00 -8.0000e+00 1.15e-05 1.14e-09 3.15e-19 1.55e-06 2.61e-06 9.90e-01 5 -8.0000e+00 -8.0000e+00 1.15e-07 1.14e-11 7.73e-14 1.55e-08 2.61e-08 9.90e-01 6 -8.0000e+00 -8.0000e+00 1.15e-09 1.14e-13 1.55e-15 1.55e-10 2.61e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.82ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.30e-17 2.09e-18 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 6.17e-17 4.06e-17 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 7.91e-19 2.17e-17 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 9.16e-21 3.42e-18 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 9.25e-23 1.12e-19 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.38e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.48e-16 1.28e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.80ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.3994e+01 -2.3386e+01 6.71e-01 3.13e-01 5.07e-18 1.00e+00 6.90e+00 ------ 1 -9.5508e+00 -1.0636e+01 1.14e-01 2.75e-02 1.17e-17 1.72e-01 8.36e-01 9.53e-01 2 -9.0051e+00 -9.0228e+00 1.97e-03 2.80e-04 1.57e-18 2.76e-03 1.23e-02 9.90e-01 3 -9.0001e+00 -9.0002e+00 2.02e-05 2.80e-06 3.38e-20 2.81e-05 1.25e-04 9.90e-01 4 -9.0000e+00 -9.0000e+00 2.02e-07 2.80e-08 2.63e-14 2.81e-07 1.25e-06 9.90e-01 5 -9.0000e+00 -9.0000e+00 2.02e-09 2.80e-10 5.26e-16 2.81e-09 1.25e-08 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.53ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.7316e+00 -5.8750e+01 1.47e+01 1.09e-01 5.25e-18 1.00e+00 1.80e+00 ------ 1 -6.7249e+00 -1.2157e+01 8.08e-01 1.00e-02 2.98e-17 9.91e-02 2.03e-01 8.94e-01 2 -8.9229e+00 -9.1034e+00 2.02e-02 1.10e-04 1.17e-17 3.35e-03 6.46e-03 9.90e-01 3 -8.9991e+00 -9.0011e+00 2.22e-04 1.10e-06 2.40e-18 3.70e-05 7.12e-05 9.90e-01 4 -9.0000e+00 -9.0000e+00 2.22e-06 1.10e-08 5.14e-20 3.70e-07 7.13e-07 9.90e-01 5 -9.0000e+00 -9.0000e+00 2.22e-08 1.10e-10 9.18e-15 3.70e-09 7.13e-09 9.90e-01 6 -9.0000e+00 -9.0000e+00 2.22e-10 1.10e-12 1.84e-16 3.70e-11 7.13e-11 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.06ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.30e-17 2.09e-18 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 6.17e-17 4.06e-17 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 7.91e-19 2.17e-17 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 9.16e-21 3.42e-18 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 9.25e-23 1.12e-19 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.38e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.48e-16 1.28e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.78ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -4.4929e-02 1.36e-01 8.87e-01 2.28e-18 1.00e+00 1.36e+00 ------ 1 -2.0693e-02 -4.2083e-04 2.03e-02 3.82e-02 4.12e-18 1.16e-01 3.98e-02 9.79e-01 2 -1.9511e-04 -3.6511e-08 1.95e-04 4.13e-04 4.94e-19 2.06e-03 5.36e-04 9.89e-01 3 -1.9504e-06 -3.6475e-12 1.95e-06 4.13e-06 9.84e-21 2.06e-05 5.38e-06 9.90e-01 4 -1.9504e-08 -3.6474e-16 1.95e-08 4.13e-08 6.54e-15 2.06e-07 5.38e-08 9.90e-01 5 -1.9504e-10 -3.6474e-20 1.95e-10 4.13e-10 1.31e-16 2.06e-09 5.38e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.87ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -4.4929e-02 1.36e-01 8.87e-01 2.28e-18 1.00e+00 1.36e+00 ------ 1 -2.0693e-02 -4.2083e-04 2.03e-02 3.82e-02 4.12e-18 1.16e-01 3.98e-02 9.79e-01 2 -1.9511e-04 -3.6511e-08 1.95e-04 4.13e-04 4.94e-19 2.06e-03 5.36e-04 9.89e-01 3 -1.9504e-06 -3.6475e-12 1.95e-06 4.13e-06 9.84e-21 2.06e-05 5.38e-06 9.90e-01 4 -1.9504e-08 -3.6474e-16 1.95e-08 4.13e-08 6.54e-15 2.06e-07 5.38e-08 9.90e-01 5 -1.9504e-10 -3.6474e-20 1.95e-10 4.13e-10 1.31e-16 2.06e-09 5.38e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.39ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.30e-17 2.09e-18 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 6.17e-17 4.06e-17 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 7.91e-19 2.17e-17 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 9.16e-21 3.42e-18 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 9.25e-23 1.12e-19 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.38e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.48e-16 1.28e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 5.07ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -4.6023e+00 4.42e+00 3.97e-01 1.50e-18 1.00e+00 3.17e+00 ------ 1 -1.2870e-01 -3.5325e-01 2.25e-01 2.37e-02 9.56e-18 6.10e-02 2.16e-01 9.65e-01 2 -1.2500e-01 -1.3974e-01 1.47e-02 3.16e-04 4.02e-18 3.87e-03 8.60e-03 9.87e-01 3 -1.2500e-01 -1.2521e-01 2.10e-04 3.29e-06 2.54e-19 5.53e-05 1.17e-04 9.90e-01 4 -1.2500e-01 -1.2500e-01 2.12e-06 3.30e-08 6.50e-21 5.57e-07 1.18e-06 9.90e-01 5 -1.2500e-01 -1.2500e-01 2.12e-08 3.30e-10 4.23e-15 5.57e-09 1.18e-08 9.90e-01 6 -1.2500e-01 -1.2500e-01 2.12e-10 3.30e-12 8.47e-17 5.57e-11 1.18e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.10ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -4.6023e+00 4.42e+00 3.97e-01 1.50e-18 1.00e+00 3.17e+00 ------ 1 -1.2870e-01 -3.5325e-01 2.25e-01 2.37e-02 9.56e-18 6.10e-02 2.16e-01 9.65e-01 2 -1.2500e-01 -1.3974e-01 1.47e-02 3.16e-04 4.02e-18 3.87e-03 8.60e-03 9.87e-01 3 -1.2500e-01 -1.2521e-01 2.10e-04 3.29e-06 2.54e-19 5.53e-05 1.17e-04 9.90e-01 4 -1.2500e-01 -1.2500e-01 2.12e-06 3.30e-08 6.50e-21 5.57e-07 1.18e-06 9.90e-01 5 -1.2500e-01 -1.2500e-01 2.12e-08 3.30e-10 4.23e-15 5.57e-09 1.18e-08 9.90e-01 6 -1.2500e-01 -1.2500e-01 2.12e-10 3.30e-12 8.47e-17 5.57e-11 1.18e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 27.1ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 3 nnz(A) = 4 cones (total) = 2 : Nonnegative = 2, numel = (2,2) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.8066e-01 -9.4778e+00 9.30e+00 6.30e-17 2.09e-18 1.00e+00 2.06e+00 ------ 1 -2.6298e-01 -7.6409e-01 5.01e-01 6.17e-17 4.06e-17 5.00e-02 1.10e-01 9.54e-01 2 -2.8542e-01 -3.2407e-01 3.86e-02 7.91e-19 2.17e-17 3.48e-03 7.49e-03 9.90e-01 3 -2.8571e-01 -2.8661e-01 8.99e-04 9.16e-21 3.42e-18 8.02e-05 1.70e-04 9.90e-01 4 -2.8571e-01 -2.8572e-01 9.30e-06 9.25e-23 1.12e-19 8.30e-07 1.75e-06 9.90e-01 5 -2.8571e-01 -2.8571e-01 9.30e-08 1.24e-14 6.38e-14 8.30e-09 1.75e-08 9.90e-01 6 -2.8571e-01 -2.8571e-01 9.30e-10 2.48e-16 1.28e-15 8.30e-11 1.75e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.82ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = off, dual completion = off merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 34 constraints = 54 nnz(P) = 0 nnz(A) = 68 cones (total) = 7 : Zero = 1, numel = 28 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (10,6,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 1.01e+00 8.25e-01 1.00e+00 1.00e+00 ------ 1 -1.4610e-01 2.6604e-01 4.12e-01 3.51e-01 2.32e-01 9.62e-01 3.54e-01 6.99e-01 2 -1.0335e-01 -1.2769e-02 9.06e-02 1.09e-01 9.50e-02 2.95e-01 1.75e-01 6.34e-01 3 -1.0223e+00 -9.1540e-01 1.07e-01 3.73e-02 3.23e-02 2.06e-01 6.49e-02 7.92e-01 4 -1.4436e+00 -1.4024e+00 2.94e-02 8.61e-03 7.57e-03 6.92e-02 1.59e-02 7.92e-01 5 -1.6883e+00 -1.6854e+00 1.72e-03 5.61e-04 4.94e-04 4.88e-03 1.04e-03 9.80e-01 6 -1.7054e+00 -1.7048e+00 3.65e-04 1.20e-04 1.06e-04 1.05e-03 2.24e-04 7.92e-01 7 -1.7099e+00 -1.7098e+00 9.24e-06 3.34e-06 2.94e-06 2.77e-05 6.21e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.34e-07 9.28e-08 8.14e-08 7.30e-07 1.72e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 6.04e-09 2.57e-09 2.26e-09 1.95e-08 4.78e-09 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 6.96s ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 8 constraints = 28 nnz(P) = 0 nnz(A) = 16 cones (total) = 4 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 1, numel = 21 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.8521e+00 7.85e+00 8.42e-01 1.00e+00 1.00e+00 1.00e+00 ------ 1 -1.2322e-01 -3.9093e+00 3.79e+00 3.21e-01 3.72e-01 1.24e+00 3.10e-01 7.34e-01 2 -1.4564e-01 -1.4298e+00 1.28e+00 8.19e-02 1.58e-01 2.04e-01 1.16e-01 7.41e-01 3 -1.3973e+00 -1.9107e+00 3.67e-01 2.41e-02 4.28e-02 1.64e-01 3.60e-02 8.69e-01 4 -1.6180e+00 -1.7300e+00 6.92e-02 5.06e-03 9.27e-03 3.90e-02 7.71e-03 7.92e-01 5 -1.6901e+00 -1.7143e+00 1.44e-02 1.09e-03 1.98e-03 8.54e-03 1.65e-03 7.92e-01 6 -1.7093e+00 -1.7100e+00 3.95e-04 3.01e-05 5.50e-05 2.39e-04 4.59e-05 9.80e-01 7 -1.7100e+00 -1.7100e+00 1.10e-05 8.35e-07 1.52e-06 6.58e-06 1.27e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 3.05e-07 2.32e-08 4.23e-08 1.81e-07 3.53e-08 9.80e-01 9 -1.7100e+00 -1.7100e+00 8.48e-09 6.43e-10 1.17e-09 5.01e-09 9.79e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.60ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = off, dual completion = off merge method = none PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 34 constraints = 54 nnz(P) = 0 nnz(A) = 68 cones (total) = 7 : Zero = 1, numel = 28 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (6,10,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 1.01e+00 8.25e-01 1.00e+00 1.00e+00 ------ 1 -1.4610e-01 2.6604e-01 4.12e-01 3.51e-01 2.32e-01 9.62e-01 3.54e-01 6.99e-01 2 -1.0335e-01 -1.2769e-02 9.06e-02 1.09e-01 9.50e-02 2.95e-01 1.75e-01 6.34e-01 3 -1.0223e+00 -9.1540e-01 1.07e-01 3.73e-02 3.23e-02 2.06e-01 6.49e-02 7.92e-01 4 -1.4436e+00 -1.4024e+00 2.94e-02 8.61e-03 7.57e-03 6.92e-02 1.59e-02 7.92e-01 5 -1.6883e+00 -1.6854e+00 1.72e-03 5.61e-04 4.94e-04 4.88e-03 1.04e-03 9.80e-01 6 -1.7054e+00 -1.7048e+00 3.65e-04 1.20e-04 1.06e-04 1.05e-03 2.24e-04 7.92e-01 7 -1.7099e+00 -1.7098e+00 9.24e-06 3.34e-06 2.94e-06 2.77e-05 6.21e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.34e-07 9.28e-08 8.14e-08 7.30e-07 1.72e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 6.04e-09 2.57e-09 2.26e-09 1.95e-08 4.78e-09 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 92.4ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = off, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 34 constraints = 54 nnz(P) = 0 nnz(A) = 68 cones (total) = 7 : Zero = 1, numel = 28 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (10,6,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 1.01e+00 8.25e-01 1.00e+00 1.00e+00 ------ 1 -1.4610e-01 2.6604e-01 4.12e-01 3.51e-01 2.32e-01 9.62e-01 3.54e-01 6.99e-01 2 -1.0335e-01 -1.2769e-02 9.06e-02 1.09e-01 9.50e-02 2.95e-01 1.75e-01 6.34e-01 3 -1.0223e+00 -9.1540e-01 1.07e-01 3.73e-02 3.23e-02 2.06e-01 6.49e-02 7.92e-01 4 -1.4436e+00 -1.4024e+00 2.94e-02 8.61e-03 7.57e-03 6.92e-02 1.59e-02 7.92e-01 5 -1.6883e+00 -1.6854e+00 1.72e-03 5.61e-04 4.94e-04 4.88e-03 1.04e-03 9.80e-01 6 -1.7054e+00 -1.7048e+00 3.65e-04 1.20e-04 1.06e-04 1.05e-03 2.24e-04 7.92e-01 7 -1.7099e+00 -1.7098e+00 9.24e-06 3.34e-06 2.94e-06 2.77e-05 6.21e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.34e-07 9.28e-08 8.14e-08 7.30e-07 1.72e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 6.04e-09 2.57e-09 2.26e-09 1.95e-08 4.78e-09 9.80e-01 ┌ Warning: indexing is deprecated for OrderedSet, please rewrite your code to use iteration │ caller = psd_complete!(A::Matrix{Float64}, pattern::Clarabel.SparsityPattern) at psd_completion.jl:75 └ @ Clarabel ~/.julia/packages/Clarabel/nKBgD/src/chordal/decomposition/psd_completion.jl:75 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 12.1s ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 8 constraints = 28 nnz(P) = 0 nnz(A) = 16 cones (total) = 4 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 1, numel = 21 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.8521e+00 7.85e+00 8.42e-01 1.00e+00 1.00e+00 1.00e+00 ------ 1 -1.2322e-01 -3.9093e+00 3.79e+00 3.21e-01 3.72e-01 1.24e+00 3.10e-01 7.34e-01 2 -1.4564e-01 -1.4298e+00 1.28e+00 8.19e-02 1.58e-01 2.04e-01 1.16e-01 7.41e-01 3 -1.3973e+00 -1.9107e+00 3.67e-01 2.41e-02 4.28e-02 1.64e-01 3.60e-02 8.69e-01 4 -1.6180e+00 -1.7300e+00 6.92e-02 5.06e-03 9.27e-03 3.90e-02 7.71e-03 7.92e-01 5 -1.6901e+00 -1.7143e+00 1.44e-02 1.09e-03 1.98e-03 8.54e-03 1.65e-03 7.92e-01 6 -1.7093e+00 -1.7100e+00 3.95e-04 3.01e-05 5.50e-05 2.39e-04 4.59e-05 9.80e-01 7 -1.7100e+00 -1.7100e+00 1.10e-05 8.35e-07 1.52e-06 6.58e-06 1.27e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 3.05e-07 2.32e-08 4.23e-08 1.81e-07 3.53e-08 9.80e-01 9 -1.7100e+00 -1.7100e+00 8.48e-09 6.43e-10 1.17e-09 5.01e-09 9.79e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.52ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = off, dual completion = on merge method = none PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 34 constraints = 54 nnz(P) = 0 nnz(A) = 68 cones (total) = 7 : Zero = 1, numel = 28 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (6,10,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 1.01e+00 8.25e-01 1.00e+00 1.00e+00 ------ 1 -1.4610e-01 2.6604e-01 4.12e-01 3.51e-01 2.32e-01 9.62e-01 3.54e-01 6.99e-01 2 -1.0335e-01 -1.2769e-02 9.06e-02 1.09e-01 9.50e-02 2.95e-01 1.75e-01 6.34e-01 3 -1.0223e+00 -9.1540e-01 1.07e-01 3.73e-02 3.23e-02 2.06e-01 6.49e-02 7.92e-01 4 -1.4436e+00 -1.4024e+00 2.94e-02 8.61e-03 7.57e-03 6.92e-02 1.59e-02 7.92e-01 5 -1.6883e+00 -1.6854e+00 1.72e-03 5.61e-04 4.94e-04 4.88e-03 1.04e-03 9.80e-01 6 -1.7054e+00 -1.7048e+00 3.65e-04 1.20e-04 1.06e-04 1.05e-03 2.24e-04 7.92e-01 7 -1.7099e+00 -1.7098e+00 9.24e-06 3.34e-06 2.94e-06 2.77e-05 6.21e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.34e-07 9.28e-08 8.14e-08 7.30e-07 1.72e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 6.04e-09 2.57e-09 2.26e-09 1.95e-08 4.78e-09 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 4.96ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = off merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 12 constraints = 26 nnz(P) = 0 nnz(A) = 24 cones (total) = 6 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (3,6,10) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.9000e+00 7.90e+00 8.32e-01 9.33e-01 1.00e+00 1.00e+00 ------ 1 -1.3178e-01 -4.0108e+00 3.88e+00 3.32e-01 3.52e-01 9.32e-01 3.53e-01 7.01e-01 2 -2.6545e-01 -1.8655e+00 1.60e+00 1.09e-01 1.69e-01 3.46e-01 1.78e-01 6.34e-01 3 -1.1369e+00 -1.5826e+00 3.92e-01 2.45e-02 4.04e-02 1.55e-01 4.36e-02 7.92e-01 4 -1.5326e+00 -1.6503e+00 7.68e-02 6.13e-03 1.07e-02 5.05e-02 1.07e-02 7.92e-01 5 -1.6766e+00 -1.7031e+00 1.58e-02 1.35e-03 2.29e-03 1.22e-02 2.29e-03 7.92e-01 6 -1.7027e+00 -1.7084e+00 3.39e-03 2.91e-04 4.90e-04 2.66e-03 4.91e-04 7.92e-01 7 -1.7097e+00 -1.7099e+00 9.72e-05 8.08e-06 1.36e-05 6.87e-05 1.36e-05 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.77e-06 2.24e-07 3.76e-07 1.77e-06 3.78e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 7.86e-08 6.22e-09 1.04e-08 4.64e-08 1.05e-08 9.80e-01 10 -1.7100e+00 -1.7100e+00 1.69e-08 1.33e-09 2.24e-09 9.91e-09 2.24e-09 7.92e-01 11 -1.7100e+00 -1.7100e+00 3.62e-09 2.86e-10 4.80e-10 2.11e-09 4.81e-10 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.58s ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 8 constraints = 28 nnz(P) = 0 nnz(A) = 16 cones (total) = 4 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 1, numel = 21 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.8521e+00 7.85e+00 8.42e-01 1.00e+00 1.00e+00 1.00e+00 ------ 1 -1.2322e-01 -3.9093e+00 3.79e+00 3.21e-01 3.72e-01 1.24e+00 3.10e-01 7.34e-01 2 -1.4564e-01 -1.4298e+00 1.28e+00 8.19e-02 1.58e-01 2.04e-01 1.16e-01 7.41e-01 3 -1.3973e+00 -1.9107e+00 3.67e-01 2.41e-02 4.28e-02 1.64e-01 3.60e-02 8.69e-01 4 -1.6180e+00 -1.7300e+00 6.92e-02 5.06e-03 9.27e-03 3.90e-02 7.71e-03 7.92e-01 5 -1.6901e+00 -1.7143e+00 1.44e-02 1.09e-03 1.98e-03 8.54e-03 1.65e-03 7.92e-01 6 -1.7093e+00 -1.7100e+00 3.95e-04 3.01e-05 5.50e-05 2.39e-04 4.59e-05 9.80e-01 7 -1.7100e+00 -1.7100e+00 1.10e-05 8.35e-07 1.52e-06 6.58e-06 1.27e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 3.05e-07 2.32e-08 4.23e-08 1.81e-07 3.53e-08 9.80e-01 9 -1.7100e+00 -1.7100e+00 8.48e-09 6.43e-10 1.17e-09 5.01e-09 9.79e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.70ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = off merge method = none PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 12 constraints = 26 nnz(P) = 0 nnz(A) = 24 cones (total) = 6 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (3,10,6) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.8854e+00 7.89e+00 8.32e-01 9.33e-01 1.00e+00 1.00e+00 ------ 1 -1.3178e-01 -4.0029e+00 3.87e+00 3.36e-01 3.57e-01 9.32e-01 3.53e-01 7.01e-01 2 -2.6545e-01 -1.8623e+00 1.60e+00 1.12e-01 1.80e-01 3.46e-01 1.78e-01 6.34e-01 3 -1.1369e+00 -1.5816e+00 3.91e-01 2.49e-02 4.18e-02 1.55e-01 4.36e-02 7.92e-01 4 -1.5326e+00 -1.6501e+00 7.66e-02 6.20e-03 1.10e-02 5.05e-02 1.07e-02 7.92e-01 5 -1.6766e+00 -1.7030e+00 1.57e-02 1.36e-03 2.35e-03 1.22e-02 2.29e-03 7.92e-01 6 -1.7027e+00 -1.7084e+00 3.38e-03 2.94e-04 5.01e-04 2.66e-03 4.91e-04 7.92e-01 7 -1.7097e+00 -1.7099e+00 9.70e-05 8.16e-06 1.39e-05 6.87e-05 1.36e-05 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.77e-06 2.27e-07 3.85e-07 1.77e-06 3.78e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 7.84e-08 6.28e-09 1.07e-08 4.64e-08 1.05e-08 9.80e-01 10 -1.7100e+00 -1.7100e+00 2.21e-09 1.74e-10 2.96e-10 1.23e-09 2.91e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 4.13ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 12 constraints = 26 nnz(P) = 0 nnz(A) = 24 cones (total) = 6 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (3,6,10) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.9000e+00 7.90e+00 8.32e-01 9.33e-01 1.00e+00 1.00e+00 ------ 1 -1.3178e-01 -4.0108e+00 3.88e+00 3.32e-01 3.52e-01 9.32e-01 3.53e-01 7.01e-01 2 -2.6545e-01 -1.8655e+00 1.60e+00 1.09e-01 1.69e-01 3.46e-01 1.78e-01 6.34e-01 3 -1.1369e+00 -1.5826e+00 3.92e-01 2.45e-02 4.04e-02 1.55e-01 4.36e-02 7.92e-01 4 -1.5326e+00 -1.6503e+00 7.68e-02 6.13e-03 1.07e-02 5.05e-02 1.07e-02 7.92e-01 5 -1.6766e+00 -1.7031e+00 1.58e-02 1.35e-03 2.29e-03 1.22e-02 2.29e-03 7.92e-01 6 -1.7027e+00 -1.7084e+00 3.39e-03 2.91e-04 4.90e-04 2.66e-03 4.91e-04 7.92e-01 7 -1.7097e+00 -1.7099e+00 9.72e-05 8.08e-06 1.36e-05 6.87e-05 1.36e-05 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.77e-06 2.24e-07 3.76e-07 1.77e-06 3.78e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 7.86e-08 6.22e-09 1.04e-08 4.64e-08 1.05e-08 9.80e-01 10 -1.7100e+00 -1.7100e+00 1.69e-08 1.33e-09 2.24e-09 9.91e-09 2.24e-09 7.92e-01 11 -1.7100e+00 -1.7100e+00 3.62e-09 2.86e-10 4.80e-10 2.11e-09 4.81e-10 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 5.36ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 8 constraints = 28 nnz(P) = 0 nnz(A) = 16 cones (total) = 4 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 1, numel = 21 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.8521e+00 7.85e+00 8.42e-01 1.00e+00 1.00e+00 1.00e+00 ------ 1 -1.2322e-01 -3.9093e+00 3.79e+00 3.21e-01 3.72e-01 1.24e+00 3.10e-01 7.34e-01 2 -1.4564e-01 -1.4298e+00 1.28e+00 8.19e-02 1.58e-01 2.04e-01 1.16e-01 7.41e-01 3 -1.3973e+00 -1.9107e+00 3.67e-01 2.41e-02 4.28e-02 1.64e-01 3.60e-02 8.69e-01 4 -1.6180e+00 -1.7300e+00 6.92e-02 5.06e-03 9.27e-03 3.90e-02 7.71e-03 7.92e-01 5 -1.6901e+00 -1.7143e+00 1.44e-02 1.09e-03 1.98e-03 8.54e-03 1.65e-03 7.92e-01 6 -1.7093e+00 -1.7100e+00 3.95e-04 3.01e-05 5.50e-05 2.39e-04 4.59e-05 9.80e-01 7 -1.7100e+00 -1.7100e+00 1.10e-05 8.35e-07 1.52e-06 6.58e-06 1.27e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 3.05e-07 2.32e-08 4.23e-08 1.81e-07 3.53e-08 9.80e-01 9 -1.7100e+00 -1.7100e+00 8.48e-09 6.43e-10 1.17e-09 5.01e-09 9.79e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.48ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = none PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 12 constraints = 26 nnz(P) = 0 nnz(A) = 24 cones (total) = 6 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (3,10,6) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.8854e+00 7.89e+00 8.32e-01 9.33e-01 1.00e+00 1.00e+00 ------ 1 -1.3178e-01 -4.0029e+00 3.87e+00 3.36e-01 3.57e-01 9.32e-01 3.53e-01 7.01e-01 2 -2.6545e-01 -1.8623e+00 1.60e+00 1.12e-01 1.80e-01 3.46e-01 1.78e-01 6.34e-01 3 -1.1369e+00 -1.5816e+00 3.91e-01 2.49e-02 4.18e-02 1.55e-01 4.36e-02 7.92e-01 4 -1.5326e+00 -1.6501e+00 7.66e-02 6.20e-03 1.10e-02 5.05e-02 1.07e-02 7.92e-01 5 -1.6766e+00 -1.7030e+00 1.57e-02 1.36e-03 2.35e-03 1.22e-02 2.29e-03 7.92e-01 6 -1.7027e+00 -1.7084e+00 3.38e-03 2.94e-04 5.01e-04 2.66e-03 4.91e-04 7.92e-01 7 -1.7097e+00 -1.7099e+00 9.70e-05 8.16e-06 1.39e-05 6.87e-05 1.36e-05 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.77e-06 2.27e-07 3.85e-07 1.77e-06 3.78e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 7.84e-08 6.28e-09 1.07e-08 4.64e-08 1.05e-08 9.80e-01 10 -1.7100e+00 -1.7100e+00 2.21e-09 1.74e-10 2.96e-10 1.23e-09 2.91e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 4.89ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = off, dual completion = off merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 34 constraints = 54 nnz(P) = 0 nnz(A) = 68 cones (total) = 7 : Zero = 1, numel = 28 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (10,6,3) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 1.01e+00 8.25e-01 1.00e+00 1.00e+00 ------ 1 -1.4610e-01 2.6604e-01 4.12e-01 3.51e-01 2.32e-01 9.62e-01 3.54e-01 6.99e-01 2 -1.0335e-01 -1.2769e-02 9.06e-02 1.09e-01 9.50e-02 2.95e-01 1.75e-01 6.34e-01 3 -1.0223e+00 -9.1540e-01 1.07e-01 3.73e-02 3.23e-02 2.06e-01 6.49e-02 7.92e-01 4 -1.4436e+00 -1.4024e+00 2.94e-02 8.61e-03 7.57e-03 6.92e-02 1.59e-02 7.92e-01 5 -1.6883e+00 -1.6854e+00 1.72e-03 5.61e-04 4.94e-04 4.88e-03 1.04e-03 9.80e-01 6 -1.7054e+00 -1.7048e+00 3.65e-04 1.20e-04 1.06e-04 1.05e-03 2.24e-04 7.92e-01 7 -1.7099e+00 -1.7098e+00 9.24e-06 3.34e-06 2.94e-06 2.77e-05 6.21e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.34e-07 9.28e-08 8.14e-08 7.30e-07 1.72e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 6.04e-09 2.57e-09 2.26e-09 1.95e-08 4.78e-09 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 4.65s ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 8 constraints = 28 nnz(P) = 0 nnz(A) = 16 cones (total) = 4 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 1, numel = 21 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.8521e+00 7.85e+00 8.42e-01 1.00e+00 1.00e+00 1.00e+00 ------ 1 -1.2322e-01 -3.9093e+00 3.79e+00 3.21e-01 3.72e-01 1.24e+00 3.10e-01 7.34e-01 2 -1.4564e-01 -1.4298e+00 1.28e+00 8.19e-02 1.58e-01 2.04e-01 1.16e-01 7.41e-01 3 -1.3973e+00 -1.9107e+00 3.67e-01 2.41e-02 4.28e-02 1.64e-01 3.60e-02 8.69e-01 4 -1.6180e+00 -1.7300e+00 6.92e-02 5.06e-03 9.27e-03 3.90e-02 7.71e-03 7.92e-01 5 -1.6901e+00 -1.7143e+00 1.44e-02 1.09e-03 1.98e-03 8.54e-03 1.65e-03 7.92e-01 6 -1.7093e+00 -1.7100e+00 3.95e-04 3.01e-05 5.50e-05 2.39e-04 4.59e-05 9.80e-01 7 -1.7100e+00 -1.7100e+00 1.10e-05 8.35e-07 1.52e-06 6.58e-06 1.27e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 3.05e-07 2.32e-08 4.23e-08 1.81e-07 3.53e-08 9.80e-01 9 -1.7100e+00 -1.7100e+00 8.48e-09 6.43e-10 1.17e-09 5.01e-09 9.79e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 173ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = off, dual completion = off merge method = none PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 34 constraints = 54 nnz(P) = 0 nnz(A) = 68 cones (total) = 7 : Zero = 1, numel = 28 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (6,10,3) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 1.01e+00 8.25e-01 1.00e+00 1.00e+00 ------ 1 -1.4610e-01 2.6604e-01 4.12e-01 3.51e-01 2.32e-01 9.62e-01 3.54e-01 6.99e-01 2 -1.0335e-01 -1.2769e-02 9.06e-02 1.09e-01 9.50e-02 2.95e-01 1.75e-01 6.34e-01 3 -1.0223e+00 -9.1540e-01 1.07e-01 3.73e-02 3.23e-02 2.06e-01 6.49e-02 7.92e-01 4 -1.4436e+00 -1.4024e+00 2.94e-02 8.61e-03 7.57e-03 6.92e-02 1.59e-02 7.92e-01 5 -1.6883e+00 -1.6854e+00 1.72e-03 5.61e-04 4.94e-04 4.88e-03 1.04e-03 9.80e-01 6 -1.7054e+00 -1.7048e+00 3.65e-04 1.20e-04 1.06e-04 1.05e-03 2.24e-04 7.92e-01 7 -1.7099e+00 -1.7098e+00 9.24e-06 3.34e-06 2.94e-06 2.77e-05 6.21e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.34e-07 9.28e-08 8.14e-08 7.30e-07 1.72e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 6.04e-09 2.57e-09 2.26e-09 1.95e-08 4.78e-09 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 93.7ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = off, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 34 constraints = 54 nnz(P) = 0 nnz(A) = 68 cones (total) = 7 : Zero = 1, numel = 28 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (10,6,3) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 1.01e+00 8.25e-01 1.00e+00 1.00e+00 ------ 1 -1.4610e-01 2.6604e-01 4.12e-01 3.51e-01 2.32e-01 9.62e-01 3.54e-01 6.99e-01 2 -1.0335e-01 -1.2769e-02 9.06e-02 1.09e-01 9.50e-02 2.95e-01 1.75e-01 6.34e-01 3 -1.0223e+00 -9.1540e-01 1.07e-01 3.73e-02 3.23e-02 2.06e-01 6.49e-02 7.92e-01 4 -1.4436e+00 -1.4024e+00 2.94e-02 8.61e-03 7.57e-03 6.92e-02 1.59e-02 7.92e-01 5 -1.6883e+00 -1.6854e+00 1.72e-03 5.61e-04 4.94e-04 4.88e-03 1.04e-03 9.80e-01 6 -1.7054e+00 -1.7048e+00 3.65e-04 1.20e-04 1.06e-04 1.05e-03 2.24e-04 7.92e-01 7 -1.7099e+00 -1.7098e+00 9.24e-06 3.34e-06 2.94e-06 2.77e-05 6.21e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.34e-07 9.28e-08 8.14e-08 7.30e-07 1.72e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 6.04e-09 2.57e-09 2.26e-09 1.95e-08 4.78e-09 9.80e-01 ┌ Warning: indexing is deprecated for OrderedSet, please rewrite your code to use iteration │ caller = psd_complete!(A::Matrix{BigFloat}, pattern::Clarabel.SparsityPattern) at psd_completion.jl:75 └ @ Clarabel ~/.julia/packages/Clarabel/nKBgD/src/chordal/decomposition/psd_completion.jl:75 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 17.1s ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 8 constraints = 28 nnz(P) = 0 nnz(A) = 16 cones (total) = 4 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 1, numel = 21 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.8521e+00 7.85e+00 8.42e-01 1.00e+00 1.00e+00 1.00e+00 ------ 1 -1.2322e-01 -3.9093e+00 3.79e+00 3.21e-01 3.72e-01 1.24e+00 3.10e-01 7.34e-01 2 -1.4564e-01 -1.4298e+00 1.28e+00 8.19e-02 1.58e-01 2.04e-01 1.16e-01 7.41e-01 3 -1.3973e+00 -1.9107e+00 3.67e-01 2.41e-02 4.28e-02 1.64e-01 3.60e-02 8.69e-01 4 -1.6180e+00 -1.7300e+00 6.92e-02 5.06e-03 9.27e-03 3.90e-02 7.71e-03 7.92e-01 5 -1.6901e+00 -1.7143e+00 1.44e-02 1.09e-03 1.98e-03 8.54e-03 1.65e-03 7.92e-01 6 -1.7093e+00 -1.7100e+00 3.95e-04 3.01e-05 5.50e-05 2.39e-04 4.59e-05 9.80e-01 7 -1.7100e+00 -1.7100e+00 1.10e-05 8.35e-07 1.52e-06 6.58e-06 1.27e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 3.05e-07 2.32e-08 4.23e-08 1.81e-07 3.53e-08 9.80e-01 9 -1.7100e+00 -1.7100e+00 8.48e-09 6.43e-10 1.17e-09 5.01e-09 9.79e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 163ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = off, dual completion = on merge method = none PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 34 constraints = 54 nnz(P) = 0 nnz(A) = 68 cones (total) = 7 : Zero = 1, numel = 28 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (6,10,3) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 1.01e+00 8.25e-01 1.00e+00 1.00e+00 ------ 1 -1.4610e-01 2.6604e-01 4.12e-01 3.51e-01 2.32e-01 9.62e-01 3.54e-01 6.99e-01 2 -1.0335e-01 -1.2769e-02 9.06e-02 1.09e-01 9.50e-02 2.95e-01 1.75e-01 6.34e-01 3 -1.0223e+00 -9.1540e-01 1.07e-01 3.73e-02 3.23e-02 2.06e-01 6.49e-02 7.92e-01 4 -1.4436e+00 -1.4024e+00 2.94e-02 8.61e-03 7.57e-03 6.92e-02 1.59e-02 7.92e-01 5 -1.6883e+00 -1.6854e+00 1.72e-03 5.61e-04 4.94e-04 4.88e-03 1.04e-03 9.80e-01 6 -1.7054e+00 -1.7048e+00 3.65e-04 1.20e-04 1.06e-04 1.05e-03 2.24e-04 7.92e-01 7 -1.7099e+00 -1.7098e+00 9.24e-06 3.34e-06 2.94e-06 2.77e-05 6.21e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.34e-07 9.28e-08 8.14e-08 7.30e-07 1.72e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 6.04e-09 2.57e-09 2.26e-09 1.95e-08 4.78e-09 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 112ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = off merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 12 constraints = 26 nnz(P) = 0 nnz(A) = 24 cones (total) = 6 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (3,6,10) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.9000e+00 7.90e+00 8.32e-01 9.33e-01 1.00e+00 1.00e+00 ------ 1 -1.3178e-01 -4.0108e+00 3.88e+00 3.32e-01 3.52e-01 9.32e-01 3.53e-01 7.01e-01 2 -2.6545e-01 -1.8655e+00 1.60e+00 1.09e-01 1.69e-01 3.46e-01 1.78e-01 6.34e-01 3 -1.1369e+00 -1.5826e+00 3.92e-01 2.45e-02 4.04e-02 1.55e-01 4.36e-02 7.92e-01 4 -1.5326e+00 -1.6503e+00 7.68e-02 6.13e-03 1.07e-02 5.05e-02 1.07e-02 7.92e-01 5 -1.6766e+00 -1.7031e+00 1.58e-02 1.35e-03 2.29e-03 1.22e-02 2.29e-03 7.92e-01 6 -1.7027e+00 -1.7084e+00 3.39e-03 2.91e-04 4.90e-04 2.66e-03 4.91e-04 7.92e-01 7 -1.7097e+00 -1.7099e+00 9.72e-05 8.08e-06 1.36e-05 6.87e-05 1.36e-05 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.77e-06 2.24e-07 3.76e-07 1.77e-06 3.78e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 7.86e-08 6.22e-09 1.04e-08 4.64e-08 1.05e-08 9.80e-01 10 -1.7100e+00 -1.7100e+00 2.21e-09 1.73e-10 2.90e-10 1.23e-09 2.91e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.09s ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 8 constraints = 28 nnz(P) = 0 nnz(A) = 16 cones (total) = 4 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 1, numel = 21 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.8521e+00 7.85e+00 8.42e-01 1.00e+00 1.00e+00 1.00e+00 ------ 1 -1.2322e-01 -3.9093e+00 3.79e+00 3.21e-01 3.72e-01 1.24e+00 3.10e-01 7.34e-01 2 -1.4564e-01 -1.4298e+00 1.28e+00 8.19e-02 1.58e-01 2.04e-01 1.16e-01 7.41e-01 3 -1.3973e+00 -1.9107e+00 3.67e-01 2.41e-02 4.28e-02 1.64e-01 3.60e-02 8.69e-01 4 -1.6180e+00 -1.7300e+00 6.92e-02 5.06e-03 9.27e-03 3.90e-02 7.71e-03 7.92e-01 5 -1.6901e+00 -1.7143e+00 1.44e-02 1.09e-03 1.98e-03 8.54e-03 1.65e-03 7.92e-01 6 -1.7093e+00 -1.7100e+00 3.95e-04 3.01e-05 5.50e-05 2.39e-04 4.59e-05 9.80e-01 7 -1.7100e+00 -1.7100e+00 1.10e-05 8.35e-07 1.52e-06 6.58e-06 1.27e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 3.05e-07 2.32e-08 4.23e-08 1.81e-07 3.53e-08 9.80e-01 9 -1.7100e+00 -1.7100e+00 8.48e-09 6.43e-10 1.17e-09 5.01e-09 9.79e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 149ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = off merge method = none PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 12 constraints = 26 nnz(P) = 0 nnz(A) = 24 cones (total) = 6 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (3,10,6) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.8854e+00 7.89e+00 8.32e-01 9.33e-01 1.00e+00 1.00e+00 ------ 1 -1.3178e-01 -4.0029e+00 3.87e+00 3.36e-01 3.57e-01 9.32e-01 3.53e-01 7.01e-01 2 -2.6545e-01 -1.8623e+00 1.60e+00 1.12e-01 1.80e-01 3.46e-01 1.78e-01 6.34e-01 3 -1.1369e+00 -1.5816e+00 3.91e-01 2.49e-02 4.18e-02 1.55e-01 4.36e-02 7.92e-01 4 -1.5326e+00 -1.6501e+00 7.66e-02 6.20e-03 1.10e-02 5.05e-02 1.07e-02 7.92e-01 5 -1.6766e+00 -1.7030e+00 1.57e-02 1.36e-03 2.35e-03 1.22e-02 2.29e-03 7.92e-01 6 -1.7027e+00 -1.7084e+00 3.38e-03 2.94e-04 5.01e-04 2.66e-03 4.91e-04 7.92e-01 7 -1.7097e+00 -1.7099e+00 9.70e-05 8.16e-06 1.39e-05 6.87e-05 1.36e-05 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.77e-06 2.27e-07 3.85e-07 1.77e-06 3.78e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 7.84e-08 6.28e-09 1.07e-08 4.64e-08 1.05e-08 9.80e-01 10 -1.7100e+00 -1.7100e+00 2.21e-09 1.74e-10 2.96e-10 1.23e-09 2.91e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 101ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 12 constraints = 26 nnz(P) = 0 nnz(A) = 24 cones (total) = 6 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (3,6,10) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.9000e+00 7.90e+00 8.32e-01 9.33e-01 1.00e+00 1.00e+00 ------ 1 -1.3178e-01 -4.0108e+00 3.88e+00 3.32e-01 3.52e-01 9.32e-01 3.53e-01 7.01e-01 2 -2.6545e-01 -1.8655e+00 1.60e+00 1.09e-01 1.69e-01 3.46e-01 1.78e-01 6.34e-01 3 -1.1369e+00 -1.5826e+00 3.92e-01 2.45e-02 4.04e-02 1.55e-01 4.36e-02 7.92e-01 4 -1.5326e+00 -1.6503e+00 7.68e-02 6.13e-03 1.07e-02 5.05e-02 1.07e-02 7.92e-01 5 -1.6766e+00 -1.7031e+00 1.58e-02 1.35e-03 2.29e-03 1.22e-02 2.29e-03 7.92e-01 6 -1.7027e+00 -1.7084e+00 3.39e-03 2.91e-04 4.90e-04 2.66e-03 4.91e-04 7.92e-01 7 -1.7097e+00 -1.7099e+00 9.72e-05 8.08e-06 1.36e-05 6.87e-05 1.36e-05 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.77e-06 2.24e-07 3.76e-07 1.77e-06 3.78e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 7.86e-08 6.22e-09 1.04e-08 4.64e-08 1.05e-08 9.80e-01 10 -1.7100e+00 -1.7100e+00 2.21e-09 1.73e-10 2.90e-10 1.23e-09 2.91e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 92.1ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 8 constraints = 28 nnz(P) = 0 nnz(A) = 16 cones (total) = 4 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 1, numel = 21 settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.8521e+00 7.85e+00 8.42e-01 1.00e+00 1.00e+00 1.00e+00 ------ 1 -1.2322e-01 -3.9093e+00 3.79e+00 3.21e-01 3.72e-01 1.24e+00 3.10e-01 7.34e-01 2 -1.4564e-01 -1.4298e+00 1.28e+00 8.19e-02 1.58e-01 2.04e-01 1.16e-01 7.41e-01 3 -1.3973e+00 -1.9107e+00 3.67e-01 2.41e-02 4.28e-02 1.64e-01 3.60e-02 8.69e-01 4 -1.6180e+00 -1.7300e+00 6.92e-02 5.06e-03 9.27e-03 3.90e-02 7.71e-03 7.92e-01 5 -1.6901e+00 -1.7143e+00 1.44e-02 1.09e-03 1.98e-03 8.54e-03 1.65e-03 7.92e-01 6 -1.7093e+00 -1.7100e+00 3.95e-04 3.01e-05 5.50e-05 2.39e-04 4.59e-05 9.80e-01 7 -1.7100e+00 -1.7100e+00 1.10e-05 8.35e-07 1.52e-06 6.58e-06 1.27e-06 9.80e-01 8 -1.7100e+00 -1.7100e+00 3.05e-07 2.32e-08 4.23e-08 1.81e-07 3.53e-08 9.80e-01 9 -1.7100e+00 -1.7100e+00 8.48e-09 6.43e-10 1.17e-09 5.01e-09 9.79e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 154ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = none PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 12 constraints = 26 nnz(P) = 0 nnz(A) = 24 cones (total) = 6 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (3,10,6) settings: linear algebra: direct / qdldl, precision: BigFloat (256 bit) max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.8854e+00 7.89e+00 8.32e-01 9.33e-01 1.00e+00 1.00e+00 ------ 1 -1.3178e-01 -4.0029e+00 3.87e+00 3.36e-01 3.57e-01 9.32e-01 3.53e-01 7.01e-01 2 -2.6545e-01 -1.8623e+00 1.60e+00 1.12e-01 1.80e-01 3.46e-01 1.78e-01 6.34e-01 3 -1.1369e+00 -1.5816e+00 3.91e-01 2.49e-02 4.18e-02 1.55e-01 4.36e-02 7.92e-01 4 -1.5326e+00 -1.6501e+00 7.66e-02 6.20e-03 1.10e-02 5.05e-02 1.07e-02 7.92e-01 5 -1.6766e+00 -1.7030e+00 1.57e-02 1.36e-03 2.35e-03 1.22e-02 2.29e-03 7.92e-01 6 -1.7027e+00 -1.7084e+00 3.38e-03 2.94e-04 5.01e-04 2.66e-03 4.91e-04 7.92e-01 7 -1.7097e+00 -1.7099e+00 9.70e-05 8.16e-06 1.39e-05 6.87e-05 1.36e-05 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.77e-06 2.27e-07 3.85e-07 1.77e-06 3.78e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 7.84e-08 6.28e-09 1.07e-08 4.64e-08 1.05e-08 9.80e-01 10 -1.7100e+00 -1.7100e+00 2.21e-09 1.74e-10 2.96e-10 1.23e-09 2.91e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 101ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 419 constraints = 820 nnz(P) = 419 nnz(A) = 4038 cones (total) = 3 : Nonnegative = 2, numel = (402,16) : SecondOrder = 1, numel = 402 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -4.6820e+01 9.0995e+03 1.95e+02 8.95e-01 5.23e+01 1.00e+00 3.22e+00 ------ 1 -4.1522e+02 2.2903e+04 5.62e+01 3.62e-01 4.90e+01 1.86e+01 1.28e+00 8.95e-01 2 -5.3916e+02 3.8455e+03 8.13e+00 6.28e-02 3.89e+01 1.27e+01 2.34e-01 9.03e-01 3 -6.0823e+02 -5.0253e+02 2.10e-01 2.23e-03 5.27e+00 1.22e+00 8.62e-03 9.76e-01 4 -6.2273e+02 -6.2850e+02 9.28e-03 1.55e-04 5.99e-01 3.39e-02 6.60e-04 9.35e-01 5 -6.3026e+02 -6.3584e+02 8.85e-03 2.93e-05 7.71e-02 1.34e-02 1.56e-04 9.90e-01 6 -6.3275e+02 -6.3444e+02 2.67e-03 1.18e-06 2.08e-03 2.64e-03 2.61e-05 9.90e-01 7 -6.3331e+02 -6.3385e+02 8.47e-04 2.46e-07 3.65e-04 9.30e-04 5.97e-06 8.49e-01 8 -6.3321e+02 -6.3378e+02 9.12e-04 2.37e-07 3.60e-04 7.66e-04 5.90e-06 2.75e-01 9 -6.3340e+02 -6.3358e+02 2.88e-04 5.45e-08 7.71e-05 2.46e-04 1.42e-06 8.52e-01 10 -6.3338e+02 -6.3357e+02 3.06e-04 5.38e-08 7.68e-05 2.15e-04 1.45e-06 1.84e-01 11 -6.3342e+02 -6.3351e+02 1.51e-04 2.50e-08 3.51e-05 4.80e-05 5.70e-07 9.72e-01 12 -6.3343e+02 -6.3347e+02 6.17e-05 8.71e-09 1.21e-05 1.13e-05 1.94e-07 9.90e-01 13 -6.3344e+02 -6.3345e+02 8.40e-06 6.84e-10 9.46e-07 1.52e-06 2.34e-08 9.33e-01 14 -6.3344e+02 -6.3344e+02 1.44e-06 1.08e-10 1.49e-07 1.89e-07 3.88e-09 9.88e-01 15 -6.3344e+02 -6.3344e+02 6.21e-08 4.14e-12 5.71e-09 7.95e-09 1.66e-10 9.66e-01 16 -6.3344e+02 -6.3344e+02 1.82e-09 1.13e-13 1.35e-10 2.18e-10 4.83e-12 9.79e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 45.2ms SOCP - Lasso: Test Failed at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/OptTests/socp-lasso.jl:64 Expression: isapprox(solver.solution.obj_val, -5.0233, atol = tol) Evaluated: isapprox(-633.4428473057123, -5.0233; atol = 0.001) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:679 [inlined] [2] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/socp-lasso.jl:64 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [4] top-level scope @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/socp-lasso.jl:59 ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 6 nnz(P) = 3 nnz(A) = 8 cones (total) = 2 : Nonnegative = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 8.9060e-01 -1.3057e+00 2.20e+00 5.55e-01 9.46e-17 1.00e+00 2.47e+00 ------ 1 1.4696e+00 1.0134e+00 4.50e-01 1.45e-01 1.67e-16 1.48e-01 6.24e-01 8.06e-01 2 1.8977e+00 1.8463e+00 2.78e-02 2.75e-03 8.88e-17 8.33e-03 3.51e-02 9.90e-01 3 1.8851e+00 1.8753e+00 5.21e-03 8.62e-05 7.85e-17 1.20e-03 4.42e-03 9.72e-01 4 1.8811e+00 1.8791e+00 1.07e-03 1.04e-05 1.17e-16 2.53e-04 7.58e-04 8.89e-01 5 1.8802e+00 1.8799e+00 1.50e-04 1.08e-06 1.44e-16 3.62e-05 9.79e-05 8.99e-01 6 1.8800e+00 1.8800e+00 5.24e-06 2.99e-08 5.02e-17 1.28e-06 3.36e-06 9.73e-01 7 1.8800e+00 1.8800e+00 5.71e-08 3.18e-10 2.27e-16 1.40e-08 3.67e-08 9.89e-01 8 1.8800e+00 1.8800e+00 5.72e-10 3.18e-12 4.86e-15 1.40e-10 3.67e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.22ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 9 nnz(P) = 6 nnz(A) = 9 cones (total) = 3 : Nonnegative = 2, numel = (3,3) : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.3942e-01 -9.0600e+00 8.72e+00 5.11e-01 6.19e-01 1.00e+00 2.41e+00 ------ 1 -2.3326e-01 -9.4772e-01 7.14e-01 7.16e-02 9.35e-02 1.24e-01 4.05e-01 9.62e-01 2 -2.3812e-01 -3.0354e-01 6.54e-02 4.25e-03 5.60e-03 1.11e-02 3.61e-02 9.43e-01 3 -2.3825e-01 -2.4131e-01 3.06e-03 5.63e-05 7.41e-05 4.39e-04 1.43e-03 9.90e-01 4 -2.3831e-01 -2.3834e-01 3.37e-05 5.64e-07 7.41e-07 4.83e-06 1.57e-05 9.90e-01 5 -2.3831e-01 -2.3831e-01 3.54e-07 5.64e-09 7.41e-09 4.92e-08 1.64e-07 9.90e-01 6 -2.3831e-01 -2.3831e-01 4.71e-09 5.65e-11 7.42e-11 5.56e-10 2.11e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 992μs SOCP: Test Failed at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:38 Expression: isapprox(norm(solver.solution.x - FloatT[-0.5; 0.435603; -0.245459]), zero(FloatT), atol = tol) Evaluated: isapprox(0.42178973118973473, 0.0; atol = 0.001) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:679 [inlined] [2] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:38 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [4] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:32 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:17 SOCP: Test Failed at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:43 Expression: isapprox(solver.solution.obj_val, FloatT(-0.8459), atol = tol) Evaluated: isapprox(-0.23831020133782477, -0.8459; atol = 0.001) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:679 [inlined] [2] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:43 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [4] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:32 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:17 ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 6 constraints = 6 nnz(P) = 6 nnz(A) = 6 cones (total) = 1 : PSDTriangle = 1, numel = 6 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 7.0000e+00 -3.3203e+00 3.11e+00 2.81e-01 7.03e-01 1.00e+00 5.64e+00 ------ 1 2.2779e+02 -2.8988e+02 2.27e+00 1.18e-02 2.24e-02 1.22e+01 7.28e-01 9.90e-01 2 5.4277e+01 -7.2551e+01 2.34e+00 2.64e-04 5.94e-04 3.91e+00 1.06e-01 9.90e-01 3 1.4671e+01 -1.4575e+01 2.01e+00 5.08e-06 1.46e-05 1.14e+00 1.50e-02 9.90e-01 4 6.3736e+00 7.5792e-01 5.62e+00 7.59e-08 2.69e-07 2.57e-01 1.97e-03 9.90e-01 5 4.9823e+00 4.3330e+00 1.50e-01 8.95e-10 3.38e-09 3.14e-02 1.85e-04 9.90e-01 6 4.8445e+00 4.8232e+00 4.40e-03 9.22e-12 3.51e-11 1.04e-03 5.80e-06 9.90e-01 7 4.8401e+00 4.8399e+00 4.75e-05 2.80e-12 6.62e-12 1.13e-05 6.27e-08 9.90e-01 8 4.8401e+00 4.8401e+00 4.76e-07 5.94e-14 1.41e-13 1.13e-07 6.27e-10 9.90e-01 9 4.8401e+00 4.8401e+00 4.76e-09 9.56e-16 2.16e-15 1.13e-09 6.27e-12 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.01ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 6 nnz(P) = 3 nnz(A) = 8 cones (total) = 2 : Nonnegative = 2, numel = (3,3) settings: linear algebra: direct / cholmod, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 8.9060e-01 -1.3057e+00 2.20e+00 5.55e-01 9.46e-17 1.00e+00 2.47e+00 ------ 1 1.4696e+00 1.0134e+00 4.50e-01 1.45e-01 2.64e-16 1.48e-01 6.24e-01 8.06e-01 2 1.8977e+00 1.8463e+00 2.78e-02 2.75e-03 1.29e-16 8.33e-03 3.51e-02 9.90e-01 3 1.8851e+00 1.8753e+00 5.21e-03 8.62e-05 1.00e-16 1.20e-03 4.42e-03 9.72e-01 4 1.8811e+00 1.8791e+00 1.07e-03 1.04e-05 1.45e-16 2.53e-04 7.58e-04 8.89e-01 5 1.8802e+00 1.8799e+00 1.50e-04 1.08e-06 1.18e-16 3.62e-05 9.79e-05 8.99e-01 6 1.8800e+00 1.8800e+00 5.24e-06 2.99e-08 1.76e-16 1.28e-06 3.36e-06 9.73e-01 7 1.8800e+00 1.8800e+00 5.71e-08 3.18e-10 2.51e-17 1.40e-08 3.67e-08 9.89e-01 8 1.8800e+00 1.8800e+00 5.72e-10 3.18e-12 3.13e-15 1.40e-10 3.67e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.59s ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 9 nnz(P) = 6 nnz(A) = 9 cones (total) = 3 : Nonnegative = 2, numel = (3,3) : SecondOrder = 1, numel = 3 settings: linear algebra: direct / cholmod, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.3942e-01 -9.0600e+00 8.72e+00 5.11e-01 6.19e-01 1.00e+00 2.41e+00 ------ 1 -2.3326e-01 -9.4772e-01 7.14e-01 7.16e-02 9.35e-02 1.24e-01 4.05e-01 9.62e-01 2 -2.3812e-01 -3.0354e-01 6.54e-02 4.25e-03 5.60e-03 1.11e-02 3.61e-02 9.43e-01 3 -2.3825e-01 -2.4131e-01 3.06e-03 5.63e-05 7.41e-05 4.39e-04 1.43e-03 9.90e-01 4 -2.3831e-01 -2.3834e-01 3.37e-05 5.64e-07 7.41e-07 4.83e-06 1.57e-05 9.90e-01 5 -2.3831e-01 -2.3831e-01 3.54e-07 5.64e-09 7.41e-09 4.92e-08 1.64e-07 9.90e-01 6 -2.3831e-01 -2.3831e-01 4.72e-09 5.64e-11 7.42e-11 5.56e-10 2.11e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.15ms SOCP: Test Failed at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:38 Expression: isapprox(norm(solver.solution.x - FloatT[-0.5; 0.435603; -0.245459]), zero(FloatT), atol = tol) Evaluated: isapprox(0.42178973118836266, 0.0; atol = 0.001) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:679 [inlined] [2] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:38 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [4] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:32 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:17 SOCP: Test Failed at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:43 Expression: isapprox(solver.solution.obj_val, FloatT(-0.8459), atol = tol) Evaluated: isapprox(-0.2383102013345434, -0.8459; atol = 0.001) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:679 [inlined] [2] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:43 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [4] macro expansion @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:32 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/Clarabel/nKBgD/test/OptTests/linear_solvers.jl:17 ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 6 constraints = 6 nnz(P) = 6 nnz(A) = 6 cones (total) = 1 : PSDTriangle = 1, numel = 6 settings: linear algebra: direct / cholmod, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 7.0000e+00 -3.3203e+00 3.11e+00 2.81e-01 7.03e-01 1.00e+00 5.64e+00 ------ 1 2.2779e+02 -2.8988e+02 2.27e+00 1.18e-02 2.24e-02 1.22e+01 7.28e-01 9.90e-01 2 5.4277e+01 -7.2551e+01 2.34e+00 2.64e-04 5.94e-04 3.91e+00 1.06e-01 9.90e-01 3 1.4671e+01 -1.4575e+01 2.01e+00 5.08e-06 1.46e-05 1.14e+00 1.50e-02 9.90e-01 4 6.3736e+00 7.5792e-01 5.62e+00 7.59e-08 2.69e-07 2.57e-01 1.97e-03 9.90e-01 5 4.9823e+00 4.3330e+00 1.50e-01 8.95e-10 3.38e-09 3.14e-02 1.85e-04 9.90e-01 6 4.8445e+00 4.8232e+00 4.40e-03 9.22e-12 3.51e-11 1.04e-03 5.80e-06 9.90e-01 7 4.8401e+00 4.8399e+00 4.75e-05 2.80e-12 6.62e-12 1.13e-05 6.27e-08 9.90e-01 8 4.8401e+00 4.8401e+00 4.76e-07 5.92e-14 1.41e-13 1.13e-07 6.27e-10 9.90e-01 9 4.8401e+00 4.8401e+00 4.76e-09 8.37e-16 2.16e-15 1.13e-09 6.27e-12 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.19ms WARNING: Method definition randsym(Any, Any) in module Main at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/testing_utils.jl:3 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition randpsd(Any, Any) in module Main at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/testing_utils.jl:9 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition randsym(Any, Any) in module Main at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/testing_utils.jl:3 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition randpsd(Any, Any) in module Main at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/testing_utils.jl:9 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition randsym(Any, Any) in module Main at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/testing_utils.jl:3 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition randpsd(Any, Any) in module Main at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/testing_utils.jl:9 overwritten on the same line (check for duplicate calls to `include`). ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 3 nnz(P) = 3 nnz(A) = 4 cones (total) = 3 : Zero = 1, numel = 1 : Nonnegative = 2, numel = (1,1) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 2.9991e+00 -1.8247e+00 2.64e+00 2.60e-01 9.29e-01 1.00e+00 1.94e+00 ------ 1 1.4512e+01 -2.1736e+01 2.50e+00 6.10e-03 4.87e-02 5.38e+00 2.38e-01 9.90e-01 2 3.9899e+00 -4.1332e+00 2.04e+00 1.23e-04 8.94e-04 1.43e+00 3.50e-02 9.90e-01 3 2.1975e+00 5.4902e-01 1.65e+00 2.09e-06 1.30e-05 3.35e-01 4.86e-03 9.90e-01 4 2.0066e+00 1.7717e+00 1.33e-01 2.77e-08 1.57e-07 5.17e-02 5.38e-04 9.90e-01 5 2.0000e+00 1.9880e+00 6.06e-03 2.99e-10 1.66e-09 2.71e-03 2.55e-05 9.90e-01 6 2.0000e+00 1.9998e+00 7.60e-05 3.00e-12 1.66e-11 3.43e-05 3.21e-07 9.90e-01 7 2.0000e+00 2.0000e+00 7.63e-07 6.07e-14 7.83e-14 3.45e-07 3.22e-09 9.90e-01 8 2.0000e+00 2.0000e+00 7.63e-09 1.46e-15 2.16e-15 3.45e-09 3.22e-11 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.30ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 3 nnz(P) = 3 nnz(A) = 4 cones (total) = 3 : Zero = 1, numel = 1 : Nonnegative = 2, numel = (1,1) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 2.9991e+00 -1.8247e+00 2.64e+00 2.60e-01 9.29e-01 1.00e+00 1.94e+00 ------ 1 1.4512e+01 -2.1736e+01 2.50e+00 6.10e-03 4.87e-02 5.38e+00 2.38e-01 9.90e-01 2 3.9899e+00 -4.1332e+00 2.04e+00 1.23e-04 8.94e-04 1.43e+00 3.50e-02 9.90e-01 3 2.1975e+00 5.4902e-01 1.65e+00 2.09e-06 1.30e-05 3.35e-01 4.86e-03 9.90e-01 4 2.0066e+00 1.7717e+00 1.33e-01 2.77e-08 1.57e-07 5.17e-02 5.38e-04 9.90e-01 5 2.0000e+00 1.9880e+00 6.06e-03 2.99e-10 1.66e-09 2.71e-03 2.55e-05 9.90e-01 6 2.0000e+00 1.9998e+00 7.60e-05 3.00e-12 1.66e-11 3.43e-05 3.21e-07 9.90e-01 7 2.0000e+00 2.0000e+00 7.63e-07 6.07e-14 7.83e-14 3.45e-07 3.22e-09 9.90e-01 8 2.0000e+00 2.0000e+00 7.63e-09 1.46e-15 2.16e-15 3.45e-09 3.22e-11 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.21ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 3 nnz(P) = 3 nnz(A) = 4 cones (total) = 3 : Zero = 1, numel = 1 : Nonnegative = 2, numel = (1,1) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 1, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 2.9991e+00 -1.8247e+00 2.64e+00 2.60e-01 9.29e-01 1.00e+00 1.94e+00 ------ 1 1.4512e+01 -2.1736e+01 2.50e+00 6.10e-03 4.87e-02 5.38e+00 2.38e-01 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = iteration limit solve time = 469μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 0 nnz(P) = 0 nnz(A) = 0 cones (total) = 0 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 0.00e+00 0.00e+00 1.00e+00 1.00e+00 ------ 0 0.0000e+00 -0.0000e+00 0.00e+00 0.00e+00 0.00e+00 1.00e+00 1.00e+00 ------ --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 459μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 0 nnz(P) = 0 nnz(A) = 0 cones (total) = 0 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 0.00e+00 0.00e+00 1.00e+00 1.00e+00 ------ 0 0.0000e+00 -0.0000e+00 0.00e+00 0.00e+00 0.00e+00 1.00e+00 1.00e+00 ------ --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 269μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 5 nnz(P) = 0 nnz(A) = 5 cones (total) = 2 : Zero = 1, numel = 2 : Exponential = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 7.58e-01 7.74e-01 1.00e+00 1.00e+00 ------ 1 3.8821e+00 4.6753e+00 2.04e-01 1.77e-01 1.48e-01 1.28e+00 2.45e-01 7.92e-01 2 6.0415e+00 6.0120e+00 4.91e-03 1.22e-02 1.03e-02 1.23e-02 2.17e-02 9.56e-01 3 6.2431e+00 6.2372e+00 9.57e-04 2.58e-03 2.17e-03 3.06e-03 4.65e-03 7.92e-01 4 6.2961e+00 6.2960e+00 8.89e-06 7.10e-05 6.00e-05 1.94e-04 1.29e-04 9.80e-01 5 6.2974e+00 6.2974e+00 1.10e-07 1.97e-06 1.67e-06 7.65e-06 3.59e-06 9.80e-01 6 6.2974e+00 6.2974e+00 1.02e-08 5.48e-08 4.62e-08 2.57e-07 9.96e-08 9.80e-01 7 6.2974e+00 6.2974e+00 4.28e-10 1.52e-09 1.28e-09 8.05e-09 2.76e-09 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.18ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 5 nnz(P) = 0 nnz(A) = 5 cones (total) = 2 : Zero = 1, numel = 2 : Exponential = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 7.58e-01 7.74e-01 1.00e+00 1.00e+00 ------ 1 3.8821e+00 4.6753e+00 2.04e-01 1.77e-01 1.48e-01 1.28e+00 2.45e-01 7.92e-01 2 6.0415e+00 6.0120e+00 4.91e-03 1.22e-02 1.03e-02 1.23e-02 2.17e-02 9.56e-01 3 6.2431e+00 6.2372e+00 9.57e-04 2.58e-03 2.17e-03 3.06e-03 4.65e-03 7.92e-01 4 6.2961e+00 6.2960e+00 8.89e-06 7.10e-05 6.00e-05 1.94e-04 1.29e-04 9.80e-01 5 6.2974e+00 6.2974e+00 1.10e-07 1.97e-06 1.67e-06 7.65e-06 3.59e-06 9.80e-01 6 6.2974e+00 6.2974e+00 1.02e-08 5.48e-08 4.62e-08 2.57e-07 9.96e-08 9.80e-01 7 6.2974e+00 6.2974e+00 4.28e-10 1.52e-09 1.28e-09 8.05e-09 2.76e-09 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 959μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 5 nnz(P) = 0 nnz(A) = 4 cones (total) = 2 : Nonnegative = 1, numel = 2 : Exponential = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -8.4615e+00 8.46e+00 6.85e-01 5.02e-01 1.00e+00 1.00e+00 ------ 1 -3.0775e-02 -2.6636e+00 2.63e+00 1.61e-01 1.38e-01 7.66e-01 2.16e-01 7.92e-01 2 -1.2947e+00 -2.1433e+00 6.55e-01 3.73e-02 2.72e-02 1.41e-01 7.11e-02 7.72e-01 3 -1.5359e+00 -1.7207e+00 1.20e-01 7.49e-03 5.30e-03 3.11e-02 1.52e-02 7.92e-01 4 -1.6074e+00 -1.6125e+00 3.18e-03 2.04e-04 1.43e-04 9.27e-04 4.23e-04 9.80e-01 5 -1.6094e+00 -1.6095e+00 8.80e-05 5.66e-06 3.96e-06 2.60e-05 1.17e-05 9.80e-01 6 -1.6094e+00 -1.6094e+00 2.44e-06 1.57e-07 1.10e-07 7.27e-07 3.25e-07 9.80e-01 7 -1.6094e+00 -1.6094e+00 6.75e-08 4.36e-09 3.05e-09 2.03e-08 9.02e-09 9.80e-01 8 -1.6094e+00 -1.6094e+00 1.45e-08 9.34e-10 6.53e-10 4.35e-09 1.93e-09 7.92e-01 9 -1.6094e+00 -1.6094e+00 3.10e-09 2.00e-10 1.40e-10 9.33e-10 4.14e-10 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.16ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 9 constraints = 15 nnz(P) = 0 nnz(A) = 25 cones (total) = 4 : Zero = 1, numel = 2 : Nonnegative = 1, numel = 7 : Exponential = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -2.1128e+00 2.11e+00 7.45e-01 6.54e-01 1.00e+00 1.00e+00 ------ 1 1.0714e+00 4.9752e-01 5.74e-01 1.65e-01 1.28e-01 2.63e-01 2.45e-01 7.92e-01 2 7.6857e-01 6.6818e-01 1.00e-01 3.98e-02 3.22e-02 6.12e-02 6.66e-02 7.92e-01 3 7.5169e-01 7.3030e-01 2.14e-02 8.07e-03 6.81e-03 1.18e-02 1.48e-02 7.92e-01 4 7.4134e-01 7.4066e-01 6.81e-04 2.33e-04 1.99e-04 2.83e-04 4.41e-04 9.80e-01 5 7.4083e-01 7.4081e-01 1.95e-05 6.48e-06 5.53e-06 7.30e-06 1.23e-05 9.80e-01 6 7.4082e-01 7.4082e-01 5.51e-07 1.80e-07 1.53e-07 1.92e-07 3.41e-07 9.80e-01 7 7.4082e-01 7.4082e-01 1.55e-08 4.99e-09 4.26e-09 5.13e-09 9.45e-09 9.80e-01 8 7.4082e-01 7.4082e-01 3.32e-09 1.07e-09 9.13e-10 1.10e-09 2.03e-09 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.53ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 14 constraints = 29 nnz(P) = 0 nnz(A) = 27 cones (total) = 7 : Nonnegative = 1, numel = 1 : Exponential = 3, numel = (3,3,3) : PSDTriangle = 3, numel = (3,6,10) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -9.6743e+00 9.67e+00 8.24e-01 7.39e-01 1.00e+00 1.00e+00 ------ 1 1.8454e+00 -2.4384e+00 2.32e+00 2.58e-01 2.30e-01 8.22e-01 3.23e-01 7.84e-01 2 -3.1189e-01 -1.7167e+00 1.40e+00 6.59e-02 6.98e-02 2.72e-01 9.64e-02 7.92e-01 3 -1.1978e+00 -1.5665e+00 3.08e-01 1.45e-02 1.59e-02 7.78e-02 2.36e-02 7.92e-01 4 -1.5825e+00 -1.6075e+00 1.58e-02 9.20e-04 1.02e-03 5.44e-03 1.55e-03 9.80e-01 5 -1.6086e+00 -1.6093e+00 4.34e-04 2.54e-05 2.82e-05 1.48e-04 4.30e-05 9.80e-01 6 -1.6094e+00 -1.6094e+00 1.20e-05 7.05e-07 7.82e-07 4.09e-06 1.19e-06 9.80e-01 7 -1.6094e+00 -1.6094e+00 3.34e-07 1.96e-08 2.17e-08 1.13e-07 3.31e-08 9.80e-01 8 -1.6094e+00 -1.6094e+00 9.27e-09 5.43e-10 6.02e-10 3.13e-09 9.17e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 476ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 2 PSD cones after merges = 2 problem: variables = 12 constraints = 20 nnz(P) = 0 nnz(A) = 24 cones (total) = 6 : Zero = 1, numel = 2 : Nonnegative = 1, numel = 3 : Exponential = 2, numel = (3,3) : PSDTriangle = 2, numel = (3,6) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -2.0000e+00 2.00e+00 7.57e-01 7.25e-01 1.00e+00 1.00e+00 ------ 1 7.7331e-01 2.7469e-01 4.99e-01 1.86e-01 1.49e-01 4.20e-01 2.45e-01 7.92e-01 2 3.6678e-02 5.7988e-03 3.09e-02 1.17e-02 9.85e-03 3.59e-02 1.65e-02 9.40e-01 3 7.7080e-03 9.5610e-04 6.75e-03 2.53e-03 2.10e-03 7.61e-03 3.53e-03 7.92e-01 4 1.4989e-03 3.6224e-05 1.46e-03 5.42e-04 4.49e-04 1.61e-03 7.57e-04 7.92e-01 5 2.8265e-04 -3.3221e-05 3.16e-04 1.16e-04 9.63e-05 3.42e-04 1.62e-04 7.92e-01 6 5.5087e-05 -1.3002e-05 6.81e-05 2.48e-05 2.07e-05 7.27e-05 3.48e-05 7.92e-01 7 7.0563e-07 -1.2767e-06 1.98e-06 6.90e-07 5.74e-07 1.93e-06 9.67e-07 9.80e-01 8 -5.9737e-09 -6.2444e-08 5.65e-08 1.91e-08 1.59e-08 5.20e-08 2.68e-08 9.80e-01 9 6.6024e-10 -1.1464e-08 1.21e-08 4.10e-09 3.41e-09 1.11e-08 5.75e-09 7.92e-01 10 -4.3363e-10 -3.0365e-09 2.60e-09 8.80e-10 7.32e-10 2.38e-09 1.23e-09 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 681ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 2 PSD cones after merges = 2 problem: variables = 12 constraints = 20 nnz(P) = 0 nnz(A) = 24 cones (total) = 6 : Zero = 1, numel = 2 : Nonnegative = 1, numel = 3 : Exponential = 2, numel = (3,3) : PSDTriangle = 2, numel = (3,6) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -2.0000e+00 2.00e+00 7.57e-01 7.25e-01 1.00e+00 1.00e+00 ------ 1 7.7331e-01 2.7469e-01 4.99e-01 1.86e-01 1.49e-01 4.20e-01 2.45e-01 7.92e-01 2 3.6678e-02 5.7988e-03 3.09e-02 1.17e-02 9.85e-03 3.59e-02 1.65e-02 9.40e-01 3 7.7080e-03 9.5610e-04 6.75e-03 2.53e-03 2.10e-03 7.61e-03 3.53e-03 7.92e-01 4 1.4989e-03 3.6224e-05 1.46e-03 5.42e-04 4.49e-04 1.61e-03 7.57e-04 7.92e-01 5 2.8265e-04 -3.3221e-05 3.16e-04 1.16e-04 9.63e-05 3.42e-04 1.62e-04 7.92e-01 6 5.5087e-05 -1.3002e-05 6.81e-05 2.48e-05 2.07e-05 7.27e-05 3.48e-05 7.92e-01 7 7.0563e-07 -1.2767e-06 1.98e-06 6.90e-07 5.74e-07 1.93e-06 9.67e-07 9.80e-01 8 -5.9739e-09 -6.2444e-08 5.65e-08 1.91e-08 1.59e-08 5.20e-08 2.68e-08 9.80e-01 9 -1.7180e-09 -1.3842e-08 1.21e-08 4.10e-09 3.41e-09 1.11e-08 5.75e-09 7.92e-01 10 -1.1573e-09 -3.7602e-09 2.60e-09 8.80e-10 7.32e-10 2.38e-09 1.23e-09 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 6.61ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 14 constraints = 29 nnz(P) = 0 nnz(A) = 27 cones (total) = 7 : Nonnegative = 1, numel = 1 : Exponential = 3, numel = (3,3,3) : PSDTriangle = 3, numel = (3,6,10) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -9.6743e+00 9.67e+00 8.24e-01 7.39e-01 1.00e+00 1.00e+00 ------ 1 1.8454e+00 -2.4384e+00 2.32e+00 2.58e-01 2.30e-01 8.22e-01 3.23e-01 7.84e-01 2 -3.1189e-01 -1.7167e+00 1.40e+00 6.59e-02 6.98e-02 2.72e-01 9.64e-02 7.92e-01 3 -1.1978e+00 -1.5665e+00 3.08e-01 1.45e-02 1.59e-02 7.78e-02 2.36e-02 7.92e-01 4 -1.5825e+00 -1.6075e+00 1.58e-02 9.20e-04 1.02e-03 5.44e-03 1.55e-03 9.80e-01 5 -1.6086e+00 -1.6093e+00 4.34e-04 2.54e-05 2.82e-05 1.48e-04 4.30e-05 9.80e-01 6 -1.6094e+00 -1.6094e+00 1.20e-05 7.05e-07 7.82e-07 4.09e-06 1.19e-06 9.80e-01 7 -1.6094e+00 -1.6094e+00 3.34e-07 1.96e-08 2.17e-08 1.13e-07 3.31e-08 9.80e-01 8 -1.6094e+00 -1.6094e+00 9.27e-09 5.43e-10 6.02e-10 3.13e-09 9.17e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 5.81ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 2 PSD cones after merges = 2 problem: variables = 11 constraints = 19 nnz(P) = 0 nnz(A) = 22 cones (total) = 6 : Zero = 1, numel = 1 : Nonnegative = 1, numel = 3 : Exponential = 2, numel = (3,3) : PSDTriangle = 2, numel = (3,6) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -2.0000e+00 2.00e+00 7.57e-01 7.25e-01 1.00e+00 1.00e+00 ------ 1 7.7331e-01 2.7469e-01 4.99e-01 1.86e-01 1.49e-01 4.20e-01 2.45e-01 7.92e-01 2 3.6678e-02 5.7988e-03 3.09e-02 1.17e-02 9.85e-03 3.59e-02 1.65e-02 9.40e-01 3 7.7080e-03 9.5610e-04 6.75e-03 2.53e-03 2.10e-03 7.61e-03 3.53e-03 7.92e-01 4 1.4989e-03 3.6224e-05 1.46e-03 5.42e-04 4.49e-04 1.61e-03 7.57e-04 7.92e-01 5 2.8265e-04 -3.3221e-05 3.16e-04 1.16e-04 9.63e-05 3.42e-04 1.62e-04 7.92e-01 6 5.5087e-05 -1.3002e-05 6.81e-05 2.48e-05 2.07e-05 7.27e-05 3.48e-05 7.92e-01 7 7.0565e-07 -1.2766e-06 1.98e-06 6.90e-07 5.74e-07 1.93e-06 9.67e-07 9.80e-01 8 -5.8754e-09 -6.2346e-08 5.65e-08 1.91e-08 1.59e-08 5.20e-08 2.68e-08 9.80e-01 9 2.9162e-10 -1.1833e-08 1.21e-08 4.10e-09 3.41e-09 1.11e-08 5.75e-09 7.92e-01 10 -6.1739e-10 -3.2104e-09 2.59e-09 8.86e-10 7.32e-10 2.40e-09 1.24e-09 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.80ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 2 PSD cones after merges = 2 problem: variables = 11 constraints = 19 nnz(P) = 0 nnz(A) = 22 cones (total) = 6 : Zero = 1, numel = 1 : Nonnegative = 1, numel = 3 : Exponential = 2, numel = (3,3) : PSDTriangle = 2, numel = (3,6) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -2.0000e+00 2.00e+00 7.57e-01 7.25e-01 1.00e+00 1.00e+00 ------ 1 7.7331e-01 2.7469e-01 4.99e-01 1.86e-01 1.49e-01 4.20e-01 2.45e-01 7.92e-01 2 3.6678e-02 5.7988e-03 3.09e-02 1.17e-02 9.85e-03 3.59e-02 1.65e-02 9.40e-01 3 7.7080e-03 9.5610e-04 6.75e-03 2.53e-03 2.10e-03 7.61e-03 3.53e-03 7.92e-01 4 1.4989e-03 3.6224e-05 1.46e-03 5.42e-04 4.49e-04 1.61e-03 7.57e-04 7.92e-01 5 2.8265e-04 -3.3221e-05 3.16e-04 1.16e-04 9.63e-05 3.42e-04 1.62e-04 7.92e-01 6 5.5087e-05 -1.3002e-05 6.81e-05 2.48e-05 2.07e-05 7.27e-05 3.48e-05 7.92e-01 7 7.0564e-07 -1.2766e-06 1.98e-06 6.90e-07 5.74e-07 1.93e-06 9.67e-07 9.80e-01 8 -5.9420e-09 -6.2412e-08 5.65e-08 1.91e-08 1.59e-08 5.20e-08 2.68e-08 9.80e-01 9 -6.7274e-11 -1.6601e-09 1.59e-09 5.31e-10 4.42e-10 1.42e-09 7.44e-10 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.57ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 4 constraints = 9 nnz(P) = 0 nnz(A) = 15 cones (total) = 1 : Nonnegative = 1, numel = 9 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.0000e+00 4.0000e+00 3.00e+00 4.73e-01 8.44e-01 1.00e+00 1.57e+00 ------ 1 2.8066e+00 3.2862e+00 1.71e-01 6.35e-02 1.63e-01 1.74e-01 1.93e-01 8.83e-01 2 1.9910e+00 2.0704e+00 3.98e-02 5.91e-03 1.50e-02 5.77e-02 2.52e-02 9.46e-01 3 1.9999e+00 2.0007e+00 3.98e-04 6.28e-05 1.60e-04 5.67e-04 2.72e-04 9.89e-01 4 2.0000e+00 2.0000e+00 3.98e-06 6.28e-07 1.60e-06 5.67e-06 2.72e-06 9.90e-01 5 2.0000e+00 2.0000e+00 3.98e-08 6.28e-09 1.60e-08 5.67e-08 2.72e-08 9.90e-01 6 2.0000e+00 2.0000e+00 3.98e-10 6.28e-11 1.60e-10 5.67e-10 2.72e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.63ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 0 nnz(A) = 6 cones (total) = 1 : Nonnegative = 1, numel = 4 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 1.0000e+00 1.00e+00 6.02e-01 5.15e-01 1.00e+00 2.07e+00 ------ 1 0.0000e+00 6.8181e-01 6.82e-01 1.29e-01 5.54e-02 6.82e-01 2.65e-01 8.78e-01 2 0.0000e+00 6.2584e+01 6.26e+01 2.87e-01 2.02e-03 6.26e+01 7.22e-03 9.82e-01 3 0.0000e+00 6.1906e+03 6.19e+03 2.86e-01 2.03e-05 6.19e+03 7.22e-05 9.90e-01 4 0.0000e+00 6.1902e+05 6.19e+05 2.86e-01 2.03e-07 6.19e+05 7.22e-07 9.90e-01 5 0.0000e+00 6.1901e+07 6.19e+07 2.86e-01 2.03e-09 6.19e+07 7.22e-09 9.90e-01 6 0.0000e+00 6.1901e+09 6.19e+09 2.86e-01 2.03e-11 6.19e+09 7.22e-11 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 2.03ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 6 nnz(P) = 0 nnz(A) = 10 cones (total) = 2 : Zero = 1, numel = 2 : Nonnegative = 1, numel = 4 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -5.0000e-01 -5.0000e-01 1.11e-16 1.92e-01 1.12e+00 1.00e+00 2.00e+00 ------ 1 -1.1079e+00 -1.0991e+00 8.00e-03 3.36e-02 2.48e-01 1.67e-01 4.04e-01 8.11e-01 2 -1.4968e+00 -1.4962e+00 4.31e-04 5.37e-04 3.85e-03 3.36e-03 7.23e-03 9.89e-01 3 -1.5000e+00 -1.5000e+00 4.30e-06 5.37e-06 3.84e-05 3.36e-05 7.23e-05 9.90e-01 4 -1.5000e+00 -1.5000e+00 4.30e-08 5.37e-08 3.84e-07 3.36e-07 7.23e-07 9.90e-01 5 -1.5000e+00 -1.5000e+00 4.30e-10 5.37e-10 3.84e-09 3.36e-09 7.23e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.49ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 6 nnz(P) = 0 nnz(A) = 10 cones (total) = 2 : Zero = 1, numel = 2 : Nonnegative = 1, numel = 4 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -5.0000e-01 -5.0000e-01 1.11e-16 1.92e-01 1.12e+00 1.00e+00 2.00e+00 ------ 1 -1.1079e+00 -1.0991e+00 8.00e-03 3.36e-02 2.48e-01 1.67e-01 4.04e-01 8.11e-01 2 -1.4968e+00 -1.4962e+00 4.31e-04 5.37e-04 3.85e-03 3.36e-03 7.23e-03 9.89e-01 3 -1.5000e+00 -1.5000e+00 4.30e-06 5.37e-06 3.84e-05 3.36e-05 7.23e-05 9.90e-01 4 -1.5000e+00 -1.5000e+00 4.30e-08 5.37e-08 3.84e-07 3.36e-07 7.23e-07 9.90e-01 5 -1.5000e+00 -1.5000e+00 4.30e-10 5.37e-10 3.84e-09 3.36e-09 7.23e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 875μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 10 constraints = 16 nnz(P) = 0 nnz(A) = 15 cones (total) = 2 : Nonnegative = 1, numel = 1 : PSDTriangle = 1, numel = 15 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 7.61e-01 1.90e-01 1.00e+00 2.60e+00 ------ 1 2.9456e+00 2.9881e+00 1.45e-02 5.74e-02 8.46e-03 1.27e-01 2.89e-01 9.09e-01 2 3.1443e+00 3.1448e+00 1.51e-04 5.81e-04 8.41e-05 1.36e-03 3.11e-03 9.89e-01 3 3.1462e+00 3.1462e+00 1.50e-06 5.81e-06 8.40e-07 1.36e-05 3.11e-05 9.90e-01 4 3.1463e+00 3.1463e+00 1.50e-08 5.81e-08 8.40e-09 1.36e-07 3.11e-07 9.90e-01 5 3.1463e+00 3.1463e+00 1.50e-10 5.81e-10 8.40e-11 1.36e-09 3.11e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.13ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 10 constraints = 16 nnz(P) = 0 nnz(A) = 15 cones (total) = 2 : Nonnegative = 1, numel = 1 : PSDTriangle = 1, numel = 15 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 7.61e-01 1.90e-01 1.00e+00 2.60e+00 ------ 1 2.9456e+00 2.9881e+00 1.45e-02 5.74e-02 8.46e-03 1.27e-01 2.89e-01 9.09e-01 2 3.1443e+00 3.1448e+00 1.51e-04 5.81e-04 8.41e-05 1.36e-03 3.11e-03 9.89e-01 3 3.1462e+00 3.1462e+00 1.50e-06 5.81e-06 8.40e-07 1.36e-05 3.11e-05 9.90e-01 4 3.1463e+00 3.1463e+00 1.50e-08 5.81e-08 8.40e-09 1.36e-07 3.11e-07 9.90e-01 5 3.1463e+00 3.1463e+00 1.50e-10 5.81e-10 8.40e-11 1.36e-09 3.11e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.52ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 7 constraints = 10 nnz(P) = 0 nnz(A) = 19 cones (total) = 1 : Nonnegative = 1, numel = 10 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.0000e+00 -1.0000e+00 2.00e+00 5.34e-01 3.08e-01 1.00e+00 2.03e+00 ------ 1 4.3029e+00 4.2414e+00 1.45e-02 4.05e-02 2.36e-02 1.82e-01 1.78e-01 9.23e-01 2 4.0020e+00 4.0020e+00 1.64e-05 5.61e-04 3.43e-04 3.31e-03 2.62e-03 9.86e-01 3 4.0000e+00 4.0000e+00 1.65e-07 5.61e-06 3.43e-06 3.31e-05 2.62e-05 9.90e-01 4 4.0000e+00 4.0000e+00 1.65e-09 5.61e-08 3.43e-08 3.31e-07 2.62e-07 9.90e-01 5 4.0000e+00 4.0000e+00 1.65e-11 5.61e-10 3.43e-10 3.31e-09 2.62e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 923μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 5 nnz(P) = 0 nnz(A) = 8 cones (total) = 1 : Nonnegative = 1, numel = 5 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 1.0000e+00 1.00e+00 6.24e-01 4.48e-01 1.00e+00 2.09e+00 ------ 1 0.0000e+00 6.9936e-01 6.99e-01 1.04e-01 3.62e-02 6.99e-01 1.99e-01 9.07e-01 2 0.0000e+00 6.4018e+01 6.40e+01 1.89e-01 1.04e-03 6.40e+01 4.00e-03 9.85e-01 3 0.0000e+00 6.3699e+03 6.37e+03 1.89e-01 1.04e-05 6.37e+03 4.00e-05 9.90e-01 4 0.0000e+00 6.3697e+05 6.37e+05 1.89e-01 1.04e-07 6.37e+05 4.00e-07 9.90e-01 5 0.0000e+00 6.3694e+07 6.37e+07 1.89e-01 1.04e-09 6.37e+07 4.00e-09 9.90e-01 6 0.0000e+00 6.3694e+09 6.37e+09 1.89e-01 1.04e-11 6.37e+09 4.00e-11 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 1.24ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 5 constraints = 7 nnz(P) = 0 nnz(A) = 13 cones (total) = 2 : Zero = 1, numel = 2 : Nonnegative = 1, numel = 5 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -5.0000e-01 -5.0000e-01 0.00e+00 4.89e-01 4.52e-01 1.00e+00 2.10e+00 ------ 1 -9.1359e-01 -9.6478e-01 5.12e-02 4.22e-02 3.50e-02 6.08e-03 1.98e-01 9.47e-01 2 -9.9914e-01 -9.9974e-01 6.09e-04 5.20e-04 4.19e-04 1.03e-04 2.44e-03 9.88e-01 3 -9.9999e-01 -1.0000e+00 6.09e-06 5.20e-06 4.19e-06 1.03e-06 2.44e-05 9.90e-01 4 -1.0000e+00 -1.0000e+00 6.09e-08 5.20e-08 4.19e-08 1.03e-08 2.44e-07 9.90e-01 5 -1.0000e+00 -1.0000e+00 6.09e-10 5.20e-10 4.19e-10 1.03e-10 2.44e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 914μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 5 constraints = 7 nnz(P) = 0 nnz(A) = 13 cones (total) = 2 : Zero = 1, numel = 2 : Nonnegative = 1, numel = 5 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -5.0000e-01 -5.0000e-01 0.00e+00 4.89e-01 4.52e-01 1.00e+00 2.10e+00 ------ 1 -9.1359e-01 -9.6478e-01 5.12e-02 4.22e-02 3.50e-02 6.08e-03 1.98e-01 9.47e-01 2 -9.9914e-01 -9.9974e-01 6.09e-04 5.20e-04 4.19e-04 1.03e-04 2.44e-03 9.88e-01 3 -9.9999e-01 -1.0000e+00 6.09e-06 5.20e-06 4.19e-06 1.03e-06 2.44e-05 9.90e-01 4 -1.0000e+00 -1.0000e+00 6.09e-08 5.20e-08 4.19e-08 1.03e-08 2.44e-07 9.90e-01 5 -1.0000e+00 -1.0000e+00 6.09e-10 5.20e-10 4.19e-10 1.03e-10 2.44e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 935μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 5 constraints = 15 nnz(P) = 0 nnz(A) = 13 cones (total) = 3 : PSDTriangle = 3, numel = (6,6,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 7.64e-01 1.09e+00 1.00e+00 2.33e+00 ------ 1 1.9803e+00 1.9071e+00 3.84e-02 5.93e-02 7.47e-02 7.28e-03 2.58e-01 9.00e-01 2 1.7131e+00 1.7069e+00 3.67e-03 6.97e-03 8.71e-03 2.34e-03 3.28e-02 8.84e-01 3 1.7323e+00 1.7323e+00 4.17e-06 2.04e-04 2.47e-04 2.60e-04 9.63e-04 9.90e-01 4 1.7321e+00 1.7321e+00 7.71e-08 3.63e-06 4.38e-06 4.62e-06 1.71e-05 9.82e-01 5 1.7321e+00 1.7321e+00 5.88e-09 2.11e-07 2.55e-07 2.71e-07 9.95e-07 9.43e-01 6 1.7321e+00 1.7321e+00 2.35e-10 2.68e-09 3.24e-09 3.73e-09 1.27e-08 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.60ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 5 constraints = 15 nnz(P) = 0 nnz(A) = 13 cones (total) = 3 : PSDTriangle = 3, numel = (6,6,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 7.64e-01 1.09e+00 1.00e+00 2.33e+00 ------ 1 1.9803e+00 1.9071e+00 3.84e-02 5.93e-02 7.47e-02 7.28e-03 2.58e-01 9.00e-01 2 1.7131e+00 1.7069e+00 3.67e-03 6.97e-03 8.71e-03 2.34e-03 3.28e-02 8.84e-01 3 1.7323e+00 1.7323e+00 4.17e-06 2.04e-04 2.47e-04 2.60e-04 9.63e-04 9.90e-01 4 1.7321e+00 1.7321e+00 7.71e-08 3.63e-06 4.38e-06 4.62e-06 1.71e-05 9.82e-01 5 1.7321e+00 1.7321e+00 5.88e-09 2.11e-07 2.55e-07 2.71e-07 9.95e-07 9.43e-01 6 1.7321e+00 1.7321e+00 2.35e-10 2.68e-09 3.24e-09 3.73e-09 1.27e-08 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.43ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 6 nnz(P) = 0 nnz(A) = 3 cones (total) = 1 : PSDTriangle = 1, numel = 6 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 6.12e-01 7.32e-01 1.00e+00 1.75e+00 ------ 1 1.0368e+00 9.8301e-01 5.38e-02 3.78e-02 4.38e-02 7.60e-03 1.41e-01 9.27e-01 2 1.0003e+00 9.9985e-01 4.79e-04 3.77e-04 4.35e-04 1.10e-04 1.44e-03 9.90e-01 3 1.0000e+00 1.0000e+00 4.79e-06 3.77e-06 4.35e-06 1.10e-06 1.44e-05 9.90e-01 4 1.0000e+00 1.0000e+00 4.79e-08 3.77e-08 4.35e-08 1.10e-08 1.44e-07 9.90e-01 5 1.0000e+00 1.0000e+00 4.79e-10 3.77e-10 4.35e-10 1.10e-10 1.44e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.25ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 4 constraints = 5 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Zero = 1, numel = 2 : PSDTriangle = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 5.15e-01 4.10e-17 1.00e+00 1.70e+00 ------ 1 1.2011e+00 1.2216e+00 1.70e-02 1.24e-01 5.39e-17 2.20e-01 3.40e-01 8.30e-01 2 1.9903e+00 1.9915e+00 6.09e-04 1.99e-03 5.97e-17 4.64e-03 5.84e-03 9.90e-01 3 1.9999e+00 1.9999e+00 6.07e-06 1.99e-05 0.00e+00 4.64e-05 5.84e-05 9.90e-01 4 2.0000e+00 2.0000e+00 6.07e-08 1.99e-07 1.05e-13 4.64e-07 5.84e-07 9.90e-01 5 2.0000e+00 2.0000e+00 6.07e-10 1.99e-09 2.07e-15 4.64e-09 5.84e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.16ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 12 constraints = 14 nnz(P) = 0 nnz(A) = 30 cones (total) = 3 : Zero = 1, numel = 5 : SecondOrder = 1, numel = 3 : PSDTriangle = 1, numel = 6 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.6237e+00 1.6237e+00 1.37e-16 4.68e-01 5.68e-01 1.00e+00 2.01e+00 ------ 1 8.1069e-01 7.6341e-01 4.73e-02 6.39e-02 6.82e-02 4.73e-02 2.82e-01 8.85e-01 2 7.3306e-01 7.2752e-01 5.54e-03 8.03e-03 8.54e-03 6.35e-03 3.72e-02 8.75e-01 3 7.0599e-01 7.0593e-01 5.86e-05 8.46e-05 9.10e-05 6.85e-05 3.99e-04 9.89e-01 4 7.0571e-01 7.0571e-01 5.94e-07 8.57e-07 9.22e-07 6.94e-07 4.04e-06 9.90e-01 5 7.0571e-01 7.0571e-01 5.94e-09 8.57e-09 9.22e-09 6.94e-09 4.04e-08 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 10.6ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 4 constraints = 5 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Zero = 1, numel = 2 : PSDTriangle = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 5.15e-01 4.10e-17 1.00e+00 1.70e+00 ------ 1 1.2011e+00 1.2216e+00 1.70e-02 1.24e-01 5.39e-17 2.20e-01 3.40e-01 8.30e-01 2 1.9903e+00 1.9915e+00 6.09e-04 1.99e-03 5.97e-17 4.64e-03 5.84e-03 9.90e-01 3 1.9999e+00 1.9999e+00 6.07e-06 1.99e-05 0.00e+00 4.64e-05 5.84e-05 9.90e-01 4 2.0000e+00 2.0000e+00 6.07e-08 1.99e-07 1.05e-13 4.64e-07 5.84e-07 9.90e-01 5 2.0000e+00 2.0000e+00 6.07e-10 1.99e-09 2.07e-15 4.64e-09 5.84e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.29ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 12 constraints = 14 nnz(P) = 0 nnz(A) = 30 cones (total) = 3 : Zero = 1, numel = 5 : SecondOrder = 1, numel = 3 : PSDTriangle = 1, numel = 6 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.6237e+00 1.6237e+00 1.37e-16 4.68e-01 5.68e-01 1.00e+00 2.01e+00 ------ 1 8.1069e-01 7.6341e-01 4.73e-02 6.39e-02 6.82e-02 4.73e-02 2.82e-01 8.85e-01 2 7.3306e-01 7.2752e-01 5.54e-03 8.03e-03 8.54e-03 6.35e-03 3.72e-02 8.75e-01 3 7.0599e-01 7.0593e-01 5.86e-05 8.46e-05 9.10e-05 6.85e-05 3.99e-04 9.89e-01 4 7.0571e-01 7.0571e-01 5.94e-07 8.57e-07 9.22e-07 6.94e-07 4.04e-06 9.90e-01 5 7.0571e-01 7.0571e-01 5.94e-09 8.57e-09 9.22e-09 6.94e-09 4.04e-08 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.60ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 7 constraints = 11 nnz(P) = 0 nnz(A) = 26 cones (total) = 3 : Zero = 1, numel = 1 : Nonnegative = 1, numel = 7 : PSDTriangle = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.7897e+00 -1.3597e+01 6.60e+00 2.57e-01 4.55e-01 1.00e+00 3.74e+00 ------ 1 -1.1731e+00 -2.5791e+00 1.20e+00 4.27e-02 8.67e-02 2.92e-01 8.86e-01 8.60e-01 2 -1.6623e+00 -1.8950e+00 1.40e-01 6.32e-03 1.19e-02 5.74e-02 1.71e-01 8.67e-01 3 -1.7930e+00 -1.8570e+00 3.57e-02 1.82e-03 3.52e-03 2.00e-02 4.50e-02 7.75e-01 4 -1.8902e+00 -1.9049e+00 7.76e-03 3.29e-04 6.29e-04 3.52e-03 8.19e-03 9.25e-01 5 -1.9015e+00 -1.9019e+00 2.34e-04 9.90e-06 1.89e-05 1.07e-04 2.48e-04 9.70e-01 6 -1.9019e+00 -1.9019e+00 1.19e-05 5.05e-07 9.62e-07 5.44e-06 1.27e-05 9.55e-01 7 -1.9019e+00 -1.9019e+00 1.63e-07 6.88e-09 1.31e-08 7.42e-08 1.73e-07 9.87e-01 8 -1.9019e+00 -1.9019e+00 1.75e-09 7.41e-11 1.41e-10 7.99e-10 1.86e-09 9.89e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.80ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 6 nnz(P) = 0 nnz(A) = 3 cones (total) = 1 : PSDTriangle = 1, numel = 6 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 6.12e-01 7.32e-01 1.00e+00 1.75e+00 ------ 1 1.0368e+00 9.8301e-01 5.38e-02 3.78e-02 4.38e-02 7.60e-03 1.41e-01 9.27e-01 2 1.0003e+00 9.9985e-01 4.79e-04 3.77e-04 4.35e-04 1.10e-04 1.44e-03 9.90e-01 3 1.0000e+00 1.0000e+00 4.79e-06 3.77e-06 4.35e-06 1.10e-06 1.44e-05 9.90e-01 4 1.0000e+00 1.0000e+00 4.79e-08 3.77e-08 4.35e-08 1.10e-08 1.44e-07 9.90e-01 5 1.0000e+00 1.0000e+00 4.79e-10 3.77e-10 4.35e-10 1.10e-10 1.44e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.23ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 4 nnz(P) = 0 nnz(A) = 4 cones (total) = 2 : Zero = 1, numel = 1 : PSDTriangle = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 5.56e-01 4.60e-17 1.00e+00 1.70e+00 ------ 1 1.2011e+00 1.2216e+00 1.70e-02 1.34e-01 1.21e-16 2.20e-01 3.40e-01 8.30e-01 2 1.9903e+00 1.9915e+00 6.09e-04 2.11e-03 1.11e-16 4.64e-03 5.84e-03 9.90e-01 3 1.9999e+00 1.9999e+00 6.07e-06 2.11e-05 4.75e-17 4.64e-05 5.84e-05 9.90e-01 4 2.0000e+00 2.0000e+00 6.07e-08 2.11e-07 1.22e-13 4.64e-07 5.84e-07 9.90e-01 5 2.0000e+00 2.0000e+00 6.07e-10 2.11e-09 2.43e-15 4.64e-09 5.84e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.13ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 9 constraints = 11 nnz(P) = 0 nnz(A) = 21 cones (total) = 3 : Zero = 1, numel = 2 : SecondOrder = 1, numel = 3 : PSDTriangle = 1, numel = 6 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.6143e+00 1.6143e+00 4.13e-16 4.48e-01 5.86e-01 1.00e+00 2.00e+00 ------ 1 8.3899e-01 7.9670e-01 4.23e-02 6.46e-02 7.90e-02 5.80e-02 3.06e-01 8.78e-01 2 7.3352e-01 7.2889e-01 4.63e-03 7.68e-03 9.43e-03 7.20e-03 3.77e-02 8.81e-01 3 7.0599e-01 7.0595e-01 4.84e-05 8.07e-05 1.00e-04 7.73e-05 4.01e-04 9.90e-01 4 7.0571e-01 7.0571e-01 4.96e-07 8.26e-07 1.02e-06 7.91e-07 4.11e-06 9.90e-01 5 7.0571e-01 7.0571e-01 4.97e-09 8.29e-09 1.03e-08 7.94e-09 4.12e-08 9.90e-01 6 7.0571e-01 7.0571e-01 4.98e-11 8.30e-11 1.03e-10 7.95e-11 4.12e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.68ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 4 nnz(P) = 0 nnz(A) = 4 cones (total) = 2 : Zero = 1, numel = 1 : PSDTriangle = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 5.56e-01 4.60e-17 1.00e+00 1.70e+00 ------ 1 1.2011e+00 1.2216e+00 1.70e-02 1.34e-01 1.21e-16 2.20e-01 3.40e-01 8.30e-01 2 1.9903e+00 1.9915e+00 6.09e-04 2.11e-03 1.11e-16 4.64e-03 5.84e-03 9.90e-01 3 1.9999e+00 1.9999e+00 6.07e-06 2.11e-05 4.75e-17 4.64e-05 5.84e-05 9.90e-01 4 2.0000e+00 2.0000e+00 6.07e-08 2.11e-07 1.22e-13 4.64e-07 5.84e-07 9.90e-01 5 2.0000e+00 2.0000e+00 6.07e-10 2.11e-09 2.43e-15 4.64e-09 5.84e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.19ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 9 constraints = 11 nnz(P) = 0 nnz(A) = 21 cones (total) = 3 : Zero = 1, numel = 2 : SecondOrder = 1, numel = 3 : PSDTriangle = 1, numel = 6 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.6143e+00 1.6143e+00 4.13e-16 4.48e-01 5.86e-01 1.00e+00 2.00e+00 ------ 1 8.3899e-01 7.9670e-01 4.23e-02 6.46e-02 7.90e-02 5.80e-02 3.06e-01 8.78e-01 2 7.3352e-01 7.2889e-01 4.63e-03 7.68e-03 9.43e-03 7.20e-03 3.77e-02 8.81e-01 3 7.0599e-01 7.0595e-01 4.84e-05 8.07e-05 1.00e-04 7.73e-05 4.01e-04 9.90e-01 4 7.0571e-01 7.0571e-01 4.96e-07 8.26e-07 1.02e-06 7.91e-07 4.11e-06 9.90e-01 5 7.0571e-01 7.0571e-01 4.97e-09 8.29e-09 1.03e-08 7.94e-09 4.12e-08 9.90e-01 6 7.0571e-01 7.0571e-01 4.98e-11 8.30e-11 1.03e-10 7.95e-11 4.12e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.80ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 5 nnz(P) = 0 nnz(A) = 5 cones (total) = 2 : Zero = 1, numel = 2 : Power = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 7.58e-01 7.32e-01 1.00e+00 1.00e+00 ------ 1 -6.8674e-01 -5.2788e-01 1.59e-01 1.52e-01 1.68e-01 4.74e-01 2.45e-01 7.92e-01 2 -1.6549e+00 -1.6044e+00 3.14e-02 3.01e-02 3.09e-02 1.29e-01 5.25e-02 7.92e-01 3 -1.7859e+00 -1.7738e+00 6.83e-03 7.22e-03 7.32e-03 3.17e-02 1.29e-02 7.92e-01 4 -1.8508e+00 -1.8482e+00 1.41e-03 1.54e-03 1.55e-03 6.84e-03 2.76e-03 7.92e-01 5 -1.8629e+00 -1.8624e+00 2.98e-04 3.29e-04 3.32e-04 1.46e-03 5.91e-04 7.92e-01 6 -1.8660e+00 -1.8660e+00 7.93e-06 9.12e-06 9.20e-06 4.00e-05 1.64e-05 9.80e-01 7 -1.8661e+00 -1.8661e+00 2.15e-07 2.53e-07 2.55e-07 1.10e-06 4.55e-07 9.80e-01 8 -1.8661e+00 -1.8661e+00 5.86e-09 7.02e-09 7.08e-09 3.04e-08 1.26e-08 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.14ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 5 nnz(P) = 0 nnz(A) = 5 cones (total) = 2 : Zero = 1, numel = 2 : Power = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 7.58e-01 7.32e-01 1.00e+00 1.00e+00 ------ 1 -6.8674e-01 -5.2788e-01 1.59e-01 1.52e-01 1.68e-01 4.74e-01 2.45e-01 7.92e-01 2 -1.6549e+00 -1.6044e+00 3.14e-02 3.01e-02 3.09e-02 1.29e-01 5.25e-02 7.92e-01 3 -1.7859e+00 -1.7738e+00 6.83e-03 7.22e-03 7.32e-03 3.17e-02 1.29e-02 7.92e-01 4 -1.8508e+00 -1.8482e+00 1.41e-03 1.54e-03 1.55e-03 6.84e-03 2.76e-03 7.92e-01 5 -1.8629e+00 -1.8624e+00 2.98e-04 3.29e-04 3.32e-04 1.46e-03 5.91e-04 7.92e-01 6 -1.8660e+00 -1.8660e+00 7.93e-06 9.12e-06 9.20e-06 4.00e-05 1.64e-05 9.80e-01 7 -1.8661e+00 -1.8661e+00 2.15e-07 2.53e-07 2.55e-07 1.10e-06 4.55e-07 9.80e-01 8 -1.8661e+00 -1.8661e+00 5.86e-09 7.02e-09 7.08e-09 3.04e-08 1.26e-08 9.80e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.05ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 7 nnz(P) = 0 nnz(A) = 5 cones (total) = 3 : Nonnegative = 1, numel = 1 : Exponential = 2, numel = (3,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -1.0336e+01 1.03e+01 6.58e-01 1.99e-02 1.00e+00 1.00e+00 ------ 1 3.1792e+00 -1.1123e+00 3.86e+00 1.83e-01 4.47e-03 1.30e+00 2.45e-01 7.92e-01 2 4.3230e-01 -9.3075e-01 1.36e+00 5.82e-02 1.76e-03 2.94e-01 7.35e-02 7.92e-01 3 -1.2642e-01 -1.6685e-01 4.04e-02 1.54e-03 4.79e-05 6.84e-03 2.04e-03 9.80e-01 4 -1.4566e-01 -1.4677e-01 1.11e-03 4.27e-05 1.33e-06 2.00e-04 5.66e-05 9.80e-01 5 -1.4617e-01 -1.4620e-01 3.06e-05 1.18e-06 3.70e-08 5.81e-06 1.57e-06 9.80e-01 6 -1.4618e-01 -1.4618e-01 8.43e-07 3.28e-08 1.03e-09 1.67e-07 4.36e-08 9.80e-01 7 -1.4618e-01 -1.4618e-01 1.81e-07 7.04e-09 2.20e-10 3.59e-08 9.34e-09 7.92e-01 8 -1.4618e-01 -1.4618e-01 3.87e-08 1.51e-09 4.71e-11 7.71e-09 2.00e-09 7.92e-01 9 -1.4618e-01 -1.4618e-01 8.29e-09 3.23e-10 1.01e-11 1.66e-09 4.29e-10 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.87ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 12 constraints = 26 nnz(P) = 0 nnz(A) = 24 cones (total) = 6 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (3,6,10) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.9000e+00 7.90e+00 8.32e-01 9.33e-01 1.00e+00 1.00e+00 ------ 1 -1.3178e-01 -4.0108e+00 3.88e+00 3.32e-01 3.52e-01 9.32e-01 3.53e-01 7.01e-01 2 -2.6545e-01 -1.8655e+00 1.60e+00 1.09e-01 1.69e-01 3.46e-01 1.78e-01 6.34e-01 3 -1.1369e+00 -1.5826e+00 3.92e-01 2.45e-02 4.04e-02 1.55e-01 4.36e-02 7.92e-01 4 -1.5326e+00 -1.6503e+00 7.68e-02 6.13e-03 1.07e-02 5.05e-02 1.07e-02 7.92e-01 5 -1.6766e+00 -1.7031e+00 1.58e-02 1.35e-03 2.29e-03 1.22e-02 2.29e-03 7.92e-01 6 -1.7027e+00 -1.7084e+00 3.39e-03 2.91e-04 4.90e-04 2.66e-03 4.91e-04 7.92e-01 7 -1.7097e+00 -1.7099e+00 9.72e-05 8.08e-06 1.36e-05 6.87e-05 1.36e-05 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.77e-06 2.24e-07 3.76e-07 1.77e-06 3.78e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 7.86e-08 6.22e-09 1.04e-08 4.64e-08 1.05e-08 9.80e-01 10 -1.7100e+00 -1.7100e+00 1.69e-08 1.33e-09 2.24e-09 9.91e-09 2.24e-09 7.92e-01 11 -1.7100e+00 -1.7100e+00 3.62e-09 2.86e-10 4.80e-10 2.11e-09 4.81e-10 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 6.12ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 2 PSD cones after merges = 2 problem: variables = 9 constraints = 15 nnz(P) = 0 nnz(A) = 17 cones (total) = 5 : Zero = 1, numel = 1 : Nonnegative = 1, numel = 2 : Power = 1, numel = 3 : PSDTriangle = 2, numel = (3,6) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -2.0000e+00 2.00e+00 6.73e-01 8.20e-01 1.00e+00 1.00e+00 ------ 1 -2.1297e-01 -7.0454e-01 4.92e-01 1.64e-01 2.13e-01 1.48e-01 3.00e-01 7.21e-01 2 -8.7146e-01 -9.4041e-01 6.90e-02 2.39e-02 3.83e-02 9.73e-02 5.10e-02 9.39e-01 3 -9.7130e-01 -9.8641e-01 1.51e-02 5.16e-03 8.10e-03 2.14e-02 1.09e-02 7.92e-01 4 -9.9901e-01 -9.9949e-01 4.80e-04 1.43e-04 2.24e-04 5.40e-04 3.03e-04 9.80e-01 5 -9.9997e-01 -9.9999e-01 1.45e-05 3.98e-06 6.21e-06 1.38e-05 8.42e-06 9.80e-01 6 -1.0000e+00 -1.0000e+00 4.28e-07 1.10e-07 1.72e-07 3.57e-07 2.33e-07 9.80e-01 7 -1.0000e+00 -1.0000e+00 1.24e-08 3.06e-09 4.78e-09 9.41e-09 6.48e-09 9.80e-01 8 -1.0000e+00 -1.0000e+00 2.66e-09 6.57e-10 1.02e-09 2.01e-09 1.39e-09 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.52ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 2 PSD cones after merges = 2 problem: variables = 9 constraints = 15 nnz(P) = 0 nnz(A) = 17 cones (total) = 5 : Zero = 1, numel = 1 : Nonnegative = 1, numel = 2 : Power = 1, numel = 3 : PSDTriangle = 2, numel = (3,6) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -2.0000e+00 2.00e+00 6.73e-01 8.20e-01 1.00e+00 1.00e+00 ------ 1 -2.1297e-01 -7.0454e-01 4.92e-01 1.64e-01 2.13e-01 1.48e-01 3.00e-01 7.21e-01 2 -8.7146e-01 -9.4041e-01 6.90e-02 2.39e-02 3.83e-02 9.73e-02 5.10e-02 9.39e-01 3 -9.7130e-01 -9.8641e-01 1.51e-02 5.16e-03 8.10e-03 2.14e-02 1.09e-02 7.92e-01 4 -9.9901e-01 -9.9949e-01 4.80e-04 1.43e-04 2.24e-04 5.40e-04 3.03e-04 9.80e-01 5 -9.9997e-01 -9.9999e-01 1.45e-05 3.98e-06 6.21e-06 1.38e-05 8.42e-06 9.80e-01 6 -1.0000e+00 -1.0000e+00 4.28e-07 1.10e-07 1.72e-07 3.57e-07 2.33e-07 9.80e-01 7 -1.0000e+00 -1.0000e+00 1.24e-08 3.06e-09 4.78e-09 9.41e-09 6.48e-09 9.80e-01 8 -1.0000e+00 -1.0000e+00 2.66e-09 6.57e-10 1.02e-09 2.01e-09 1.39e-09 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.81ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 3 PSD cones after merges = 3 problem: variables = 12 constraints = 26 nnz(P) = 0 nnz(A) = 24 cones (total) = 6 : Nonnegative = 1, numel = 1 : Power = 2, numel = (3,3) : PSDTriangle = 3, numel = (3,6,10) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -7.9000e+00 7.90e+00 8.32e-01 9.33e-01 1.00e+00 1.00e+00 ------ 1 -1.3178e-01 -4.0108e+00 3.88e+00 3.32e-01 3.52e-01 9.32e-01 3.53e-01 7.01e-01 2 -2.6545e-01 -1.8655e+00 1.60e+00 1.09e-01 1.69e-01 3.46e-01 1.78e-01 6.34e-01 3 -1.1369e+00 -1.5826e+00 3.92e-01 2.45e-02 4.04e-02 1.55e-01 4.36e-02 7.92e-01 4 -1.5326e+00 -1.6503e+00 7.68e-02 6.13e-03 1.07e-02 5.05e-02 1.07e-02 7.92e-01 5 -1.6766e+00 -1.7031e+00 1.58e-02 1.35e-03 2.29e-03 1.22e-02 2.29e-03 7.92e-01 6 -1.7027e+00 -1.7084e+00 3.39e-03 2.91e-04 4.90e-04 2.66e-03 4.91e-04 7.92e-01 7 -1.7097e+00 -1.7099e+00 9.72e-05 8.08e-06 1.36e-05 6.87e-05 1.36e-05 9.80e-01 8 -1.7100e+00 -1.7100e+00 2.77e-06 2.24e-07 3.76e-07 1.77e-06 3.78e-07 9.80e-01 9 -1.7100e+00 -1.7100e+00 7.86e-08 6.22e-09 1.04e-08 4.64e-08 1.05e-08 9.80e-01 10 -1.7100e+00 -1.7100e+00 1.69e-08 1.33e-09 2.24e-09 9.91e-09 2.24e-09 7.92e-01 11 -1.7100e+00 -1.7100e+00 3.62e-09 2.86e-10 4.80e-10 2.11e-09 4.81e-10 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 6.03ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 2 PSD cones after merges = 2 problem: variables = 8 constraints = 14 nnz(P) = 0 nnz(A) = 15 cones (total) = 4 : Nonnegative = 1, numel = 2 : Power = 1, numel = 3 : PSDTriangle = 2, numel = (3,6) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -2.0000e+00 2.00e+00 6.73e-01 8.20e-01 1.00e+00 1.00e+00 ------ 1 -2.1297e-01 -7.0454e-01 4.92e-01 1.64e-01 2.13e-01 1.48e-01 3.00e-01 7.21e-01 2 -8.7146e-01 -9.4041e-01 6.90e-02 2.39e-02 3.83e-02 9.73e-02 5.10e-02 9.39e-01 3 -9.7130e-01 -9.8641e-01 1.51e-02 5.16e-03 8.10e-03 2.14e-02 1.09e-02 7.92e-01 4 -9.9901e-01 -9.9949e-01 4.80e-04 1.43e-04 2.24e-04 5.40e-04 3.03e-04 9.80e-01 5 -9.9997e-01 -9.9999e-01 1.45e-05 3.98e-06 6.21e-06 1.38e-05 8.42e-06 9.80e-01 6 -1.0000e+00 -1.0000e+00 4.28e-07 1.10e-07 1.72e-07 3.57e-07 2.33e-07 9.80e-01 7 -1.0000e+00 -1.0000e+00 1.24e-08 3.06e-09 4.78e-09 9.41e-09 6.48e-09 9.80e-01 8 -1.0000e+00 -1.0000e+00 2.66e-09 6.57e-10 1.02e-09 2.01e-09 1.39e-09 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.02ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- chordal decomposition: compact format = on, dual completion = on merge method = clique_graph PSD cones initial = 1 PSD cones decomposable = 1 PSD cones after decomposition = 2 PSD cones after merges = 2 problem: variables = 8 constraints = 14 nnz(P) = 0 nnz(A) = 15 cones (total) = 4 : Nonnegative = 1, numel = 2 : Power = 1, numel = 3 : PSDTriangle = 2, numel = (3,6) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -2.0000e+00 2.00e+00 6.73e-01 8.20e-01 1.00e+00 1.00e+00 ------ 1 -2.1297e-01 -7.0454e-01 4.92e-01 1.64e-01 2.13e-01 1.48e-01 3.00e-01 7.21e-01 2 -8.7146e-01 -9.4041e-01 6.90e-02 2.39e-02 3.83e-02 9.73e-02 5.10e-02 9.39e-01 3 -9.7130e-01 -9.8641e-01 1.51e-02 5.16e-03 8.10e-03 2.14e-02 1.09e-02 7.92e-01 4 -9.9901e-01 -9.9949e-01 4.80e-04 1.43e-04 2.24e-04 5.40e-04 3.03e-04 9.80e-01 5 -9.9997e-01 -9.9999e-01 1.45e-05 3.98e-06 6.21e-06 1.38e-05 8.42e-06 9.80e-01 6 -1.0000e+00 -1.0000e+00 4.28e-07 1.10e-07 1.72e-07 3.57e-07 2.33e-07 9.80e-01 7 -1.0000e+00 -1.0000e+00 1.24e-08 3.06e-09 4.78e-09 9.41e-09 6.48e-09 9.80e-01 8 -1.0000e+00 -1.0000e+00 2.66e-09 6.57e-10 1.02e-09 2.01e-09 1.39e-09 7.92e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 3.46ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 6 nnz(P) = 0 nnz(A) = 8 cones (total) = 3 : Zero = 1, numel = 1 : Nonnegative = 1, numel = 2 : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 5.8626e-01 5.86e-01 4.57e-01 4.28e-01 1.00e+00 1.82e+00 ------ 1 0.0000e+00 7.2717e-01 7.27e-01 2.11e-01 1.19e-01 9.01e-01 5.15e-01 7.93e-01 2 0.0000e+00 5.6819e+01 5.68e+01 4.28e-01 6.20e-03 5.73e+01 2.34e-02 9.90e-01 3 0.0000e+00 5.5633e+03 5.56e+03 4.26e-01 6.24e-05 5.56e+03 2.35e-04 9.90e-01 4 0.0000e+00 5.5630e+05 5.56e+05 4.26e-01 6.24e-07 5.56e+05 2.35e-06 9.90e-01 5 0.0000e+00 5.5629e+07 5.56e+07 4.26e-01 6.24e-09 5.56e+07 2.35e-08 9.90e-01 6 0.0000e+00 5.5629e+09 5.56e+09 4.26e-01 6.24e-11 5.56e+09 2.35e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 971μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 6 constraints = 13 nnz(P) = 0 nnz(A) = 17 cones (total) = 5 : Zero = 1, numel = 2 : Nonnegative = 2, numel = (2,2) : SecondOrder = 2, numel = (4,3) settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -4.8010e+00 4.80e+00 2.42e-01 5.25e-01 1.00e+00 2.71e+00 ------ 1 -4.9485e-01 -1.6403e+00 1.15e+00 6.70e-02 1.99e-01 2.95e-01 8.76e-01 7.23e-01 2 -1.5230e+00 -1.6908e+00 1.10e-01 1.03e-02 3.07e-02 1.16e-01 1.50e-01 9.16e-01 3 -1.6739e+00 -1.7049e+00 1.86e-02 1.81e-03 5.30e-03 2.21e-02 2.78e-02 8.34e-01 4 -1.7236e+00 -1.7349e+00 6.61e-03 6.48e-04 1.90e-03 7.96e-03 1.02e-02 8.68e-01 5 -1.7309e+00 -1.7317e+00 4.70e-04 4.59e-05 1.34e-04 5.64e-04 7.30e-04 9.90e-01 6 -1.7320e+00 -1.7320e+00 3.16e-05 3.07e-06 9.00e-06 3.76e-05 4.90e-05 9.34e-01 7 -1.7320e+00 -1.7321e+00 4.79e-06 4.66e-07 1.37e-06 5.71e-06 7.44e-06 8.71e-01 8 -1.7320e+00 -1.7320e+00 1.50e-06 1.47e-07 4.31e-07 1.81e-06 2.34e-06 8.75e-01 9 -1.7321e+00 -1.7321e+00 1.71e-07 1.67e-08 4.91e-08 2.06e-07 2.67e-07 9.65e-01 10 -1.7321e+00 -1.7321e+00 1.64e-08 1.60e-09 4.70e-09 1.98e-08 2.56e-08 9.59e-01 11 -1.7321e+00 -1.7321e+00 2.34e-09 2.30e-10 6.73e-10 2.83e-09 3.66e-09 8.99e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.74ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 0 nnz(A) = 2 cones (total) = 1 : SecondOrder = 1, numel = 4 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -2.5607e+00 2.56e+00 1.19e-01 0.00e+00 1.00e+00 2.13e+00 ------ 1 -1.1507e+00 -1.4430e+00 2.54e-01 1.10e-02 0.00e+00 1.48e-01 2.83e-01 8.90e-01 2 -1.4135e+00 -1.4267e+00 9.30e-03 4.63e-04 0.00e+00 6.90e-03 1.29e-02 9.55e-01 3 -1.4138e+00 -1.4148e+00 6.95e-04 5.01e-05 0.00e+00 1.18e-03 1.39e-03 9.90e-01 4 -1.4142e+00 -1.4142e+00 7.32e-06 5.27e-07 0.00e+00 1.25e-05 1.46e-05 9.89e-01 5 -1.4142e+00 -1.4142e+00 1.07e-07 7.68e-09 0.00e+00 1.82e-07 2.13e-07 9.85e-01 6 -1.4142e+00 -1.4142e+00 3.45e-09 2.48e-10 0.00e+00 5.86e-09 6.86e-09 9.68e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.02ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 4 constraints = 6 nnz(P) = 0 nnz(A) = 8 cones (total) = 2 : Zero = 1, numel = 2 : SecondOrder = 1, numel = 4 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 8.33e-02 4.91e-01 1.00e+00 2.13e+00 ------ 1 -1.1507e+00 -1.1262e+00 2.18e-02 9.55e-03 6.30e-02 1.48e-01 2.83e-01 8.90e-01 2 -1.4135e+00 -1.4122e+00 8.98e-04 4.12e-04 2.70e-03 6.90e-03 1.29e-02 9.55e-01 3 -1.4138e+00 -1.4132e+00 4.08e-04 4.46e-05 2.85e-04 1.18e-03 1.39e-03 9.90e-01 4 -1.4142e+00 -1.4142e+00 4.27e-06 4.69e-07 3.01e-06 1.25e-05 1.46e-05 9.89e-01 5 -1.4142e+00 -1.4142e+00 6.23e-08 6.84e-09 4.38e-08 1.82e-07 2.13e-07 9.85e-01 6 -1.4142e+00 -1.4142e+00 2.01e-09 2.21e-10 1.41e-09 5.86e-09 6.86e-09 9.68e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 958μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 4 constraints = 5 nnz(P) = 0 nnz(A) = 5 cones (total) = 2 : Nonnegative = 1, numel = 1 : SecondOrder = 1, numel = 4 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -3.9530e+00 3.95e+00 9.24e-02 6.35e-02 1.00e+00 1.98e+00 ------ 1 -1.0221e+00 -2.1518e+00 1.11e+00 2.53e-02 2.17e-02 3.24e-01 6.48e-01 7.32e-01 2 -1.9764e+00 -2.0328e+00 2.86e-02 1.18e-03 1.11e-03 2.96e-02 3.95e-02 9.90e-01 3 -1.9998e+00 -2.0003e+00 2.83e-04 1.18e-05 1.11e-05 2.97e-04 3.97e-04 9.90e-01 4 -2.0000e+00 -2.0000e+00 2.83e-06 1.18e-07 1.11e-07 2.97e-06 3.97e-06 9.90e-01 5 -2.0000e+00 -2.0000e+00 2.83e-08 1.18e-09 1.11e-09 2.97e-08 3.97e-08 9.90e-01 6 -2.0000e+00 -2.0000e+00 2.83e-10 1.18e-11 1.11e-11 2.97e-10 3.97e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 947μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 0 nnz(A) = 4 cones (total) = 2 : Nonnegative = 1, numel = 2 : SecondOrder = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 1.0000e+00 1.00e+00 5.00e-01 3.51e-01 1.00e+00 1.75e+00 ------ 1 0.0000e+00 1.0390e+00 1.04e+00 1.40e-01 4.90e-02 1.04e+00 2.66e-01 9.06e-01 2 0.0000e+00 9.4009e+01 9.40e+01 2.56e-01 1.23e-03 9.40e+01 4.83e-03 9.89e-01 3 0.0000e+00 9.3685e+03 9.37e+03 2.56e-01 1.23e-05 9.37e+03 4.83e-05 9.90e-01 4 0.0000e+00 9.3682e+05 9.37e+05 2.56e-01 1.23e-07 9.37e+05 4.83e-07 9.90e-01 5 0.0000e+00 9.3675e+07 9.37e+07 2.56e-01 1.23e-09 9.37e+07 4.83e-09 9.90e-01 6 0.0000e+00 9.3675e+09 9.37e+09 2.56e-01 1.23e-11 9.37e+09 4.83e-11 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 973μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 5 nnz(P) = 0 nnz(A) = 5 cones (total) = 3 : Zero = 1, numel = 1 : Nonnegative = 1, numel = 1 : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 1.4142e+00 1.41e+00 4.12e-01 5.59e-01 1.00e+00 2.57e+00 ------ 1 -6.6563e-01 -5.6610e-01 9.95e-02 4.45e-02 5.42e-02 6.00e-02 2.85e-01 8.92e-01 2 -7.1061e-01 -7.0051e-01 1.01e-02 2.73e-03 3.26e-03 7.84e-03 1.87e-02 9.47e-01 3 -7.1006e-01 -7.0773e-01 2.33e-03 5.72e-04 6.62e-04 1.85e-03 3.77e-03 8.18e-01 4 -7.0717e-01 -7.0659e-01 5.85e-04 1.20e-04 1.32e-04 4.86e-04 7.46e-04 9.26e-01 5 -7.0717e-01 -7.0707e-01 9.96e-05 2.06e-05 2.30e-05 8.25e-05 1.30e-04 8.39e-01 6 -7.0711e-01 -7.0709e-01 1.17e-05 2.41e-06 2.69e-06 9.67e-06 1.52e-05 9.56e-01 7 -7.0711e-01 -7.0711e-01 1.49e-06 3.07e-07 3.43e-07 1.24e-06 1.94e-06 8.77e-01 8 -7.0711e-01 -7.0711e-01 1.55e-07 3.11e-08 3.48e-08 1.29e-07 1.96e-07 9.67e-01 9 -7.0711e-01 -7.0711e-01 1.59e-08 3.20e-09 3.57e-09 1.32e-08 2.02e-08 9.00e-01 10 -7.0711e-01 -7.0711e-01 1.49e-09 3.00e-10 3.34e-10 1.24e-09 1.88e-09 9.72e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.33ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 5 nnz(P) = 0 nnz(A) = 5 cones (total) = 3 : Zero = 1, numel = 1 : Nonnegative = 1, numel = 1 : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 1.4142e+00 1.41e+00 4.12e-01 5.59e-01 1.00e+00 2.57e+00 ------ 1 -6.6563e-01 -5.6610e-01 9.95e-02 4.45e-02 5.42e-02 6.00e-02 2.85e-01 8.92e-01 2 -7.1061e-01 -7.0051e-01 1.01e-02 2.73e-03 3.26e-03 7.84e-03 1.87e-02 9.47e-01 3 -7.1006e-01 -7.0773e-01 2.33e-03 5.72e-04 6.62e-04 1.85e-03 3.77e-03 8.18e-01 4 -7.0717e-01 -7.0659e-01 5.85e-04 1.20e-04 1.32e-04 4.86e-04 7.46e-04 9.26e-01 5 -7.0717e-01 -7.0707e-01 9.96e-05 2.06e-05 2.30e-05 8.25e-05 1.30e-04 8.39e-01 6 -7.0711e-01 -7.0709e-01 1.17e-05 2.41e-06 2.69e-06 9.67e-06 1.52e-05 9.56e-01 7 -7.0711e-01 -7.0711e-01 1.49e-06 3.07e-07 3.43e-07 1.24e-06 1.94e-06 8.77e-01 8 -7.0711e-01 -7.0711e-01 1.55e-07 3.11e-08 3.48e-08 1.29e-07 1.96e-07 9.67e-01 9 -7.0711e-01 -7.0711e-01 1.59e-08 3.20e-09 3.57e-09 1.32e-08 2.02e-08 9.00e-01 10 -7.0711e-01 -7.0711e-01 1.49e-09 3.00e-10 3.34e-10 1.24e-09 1.88e-09 9.72e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.04ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 4 nnz(P) = 0 nnz(A) = 4 cones (total) = 2 : Zero = 1, numel = 1 : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 0.00e+00 5.03e-01 1.00e+00 1.71e+00 ------ 1 -1.0028e+00 -9.7231e-01 3.05e-02 7.19e-17 1.01e-01 2.18e-01 3.20e-01 8.56e-01 2 -1.4100e+00 -1.4093e+00 5.00e-04 6.49e-17 1.21e-03 3.14e-03 4.16e-03 9.90e-01 3 -1.4142e+00 -1.4142e+00 4.98e-06 1.42e-16 1.21e-05 3.14e-05 4.16e-05 9.90e-01 4 -1.4142e+00 -1.4142e+00 4.98e-08 1.30e-13 1.21e-07 3.14e-07 4.16e-07 9.90e-01 5 -1.4142e+00 -1.4142e+00 4.98e-10 2.60e-15 1.21e-09 3.14e-09 4.16e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 897μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 4 nnz(P) = 0 nnz(A) = 4 cones (total) = 2 : Zero = 1, numel = 1 : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 0.00e+00 5.03e-01 1.00e+00 1.71e+00 ------ 1 -1.0028e+00 -9.7231e-01 3.05e-02 7.19e-17 1.01e-01 2.18e-01 3.20e-01 8.56e-01 2 -1.4100e+00 -1.4093e+00 5.00e-04 6.49e-17 1.21e-03 3.14e-03 4.16e-03 9.90e-01 3 -1.4142e+00 -1.4142e+00 4.98e-06 1.42e-16 1.21e-05 3.14e-05 4.16e-05 9.90e-01 4 -1.4142e+00 -1.4142e+00 4.98e-08 1.30e-13 1.21e-07 3.14e-07 4.16e-07 9.90e-01 5 -1.4142e+00 -1.4142e+00 4.98e-10 2.60e-15 1.21e-09 3.14e-09 4.16e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 855μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 6 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Nonnegative = 1, numel = 3 : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -5.0000e-01 5.5000e+00 6.00e+00 5.90e-01 4.02e-01 1.00e+00 3.50e+00 ------ 1 5.3591e+00 6.2627e+00 1.69e-01 3.88e-02 2.46e-02 3.55e-01 2.59e-01 9.35e-01 2 5.0684e+00 5.2019e+00 2.63e-02 6.03e-03 3.83e-03 5.55e-02 4.29e-02 8.43e-01 3 5.0005e+00 5.0052e+00 9.32e-04 2.08e-04 1.32e-04 2.02e-03 1.50e-03 9.71e-01 4 5.0000e+00 5.0002e+00 4.84e-05 1.08e-05 6.83e-06 1.05e-04 7.75e-05 9.49e-01 5 5.0000e+00 5.0000e+00 8.24e-07 1.82e-07 1.16e-07 1.80e-06 1.31e-06 9.84e-01 6 5.0000e+00 5.0000e+00 9.57e-09 2.12e-09 1.34e-09 2.09e-08 1.53e-08 9.88e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 991μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 3 nnz(P) = 0 nnz(A) = 3 cones (total) = 1 : Nonnegative = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.0000e+00 5.0000e+00 6.00e+00 1.60e-01 2.03e-01 1.00e+00 1.25e+00 ------ 1 -9.3436e-01 -5.6327e-01 3.71e-01 1.15e-02 1.57e-02 7.15e-03 1.27e-01 9.12e-01 2 -9.9941e-01 -9.9577e-01 3.64e-03 1.11e-04 1.52e-04 1.14e-04 1.32e-03 9.90e-01 3 -9.9999e-01 -9.9996e-01 3.63e-05 1.11e-06 1.52e-06 1.14e-06 1.32e-05 9.90e-01 4 -1.0000e+00 -1.0000e+00 3.63e-07 1.11e-08 1.52e-08 1.14e-08 1.32e-07 9.90e-01 5 -1.0000e+00 -1.0000e+00 3.63e-09 1.11e-10 1.52e-10 1.14e-10 1.32e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 756μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 6 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Nonnegative = 1, numel = 3 : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.0000e+00 -2.0000e+00 5.00e-01 5.83e-01 3.29e-01 1.00e+00 6.00e+00 ------ 1 5.1482e+00 5.7364e+00 1.14e-01 8.75e-02 4.35e-02 5.88e-01 8.71e-01 8.83e-01 2 5.0018e+00 5.0358e+00 6.80e-03 5.04e-03 2.53e-03 3.40e-02 5.54e-02 9.42e-01 3 5.0039e+00 5.0133e+00 1.87e-03 1.01e-03 5.07e-04 9.34e-03 1.12e-02 8.75e-01 4 5.0000e+00 5.0010e+00 2.04e-04 1.09e-04 5.50e-05 1.02e-03 1.22e-03 8.93e-01 5 5.0001e+00 5.0005e+00 8.24e-05 3.94e-05 1.98e-05 4.12e-04 4.37e-04 7.47e-01 6 5.0000e+00 5.0001e+00 1.87e-05 8.77e-06 4.41e-06 9.35e-05 9.73e-05 7.94e-01 7 5.0000e+00 5.0001e+00 9.28e-06 4.09e-06 2.06e-06 4.64e-05 4.54e-05 6.62e-01 8 5.0000e+00 5.0000e+00 2.49e-06 1.07e-06 5.38e-07 1.24e-05 1.19e-05 7.81e-01 9 5.0000e+00 5.0000e+00 6.03e-07 2.47e-07 1.24e-07 3.02e-06 2.75e-06 8.57e-01 10 5.0000e+00 5.0000e+00 1.42e-07 5.76e-08 2.90e-08 7.11e-07 6.40e-07 8.05e-01 11 5.0000e+00 5.0000e+00 1.93e-08 7.57e-09 3.80e-09 9.64e-08 8.40e-08 9.36e-01 12 5.0000e+00 5.0000e+00 3.52e-09 1.38e-09 6.93e-10 1.76e-08 1.53e-08 8.34e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.48ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 3 nnz(P) = 0 nnz(A) = 3 cones (total) = 1 : Nonnegative = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -6.0000e+00 -5.0000e+00 2.00e-01 1.11e-01 1.54e-01 1.00e+00 1.25e+00 ------ 1 -5.9344e+00 -5.9272e+00 1.21e-03 8.19e-03 1.21e-02 7.15e-03 1.27e-01 9.12e-01 2 -5.9994e+00 -5.9993e+00 1.90e-05 7.93e-05 1.17e-04 1.14e-04 1.32e-03 9.90e-01 3 -6.0000e+00 -6.0000e+00 1.89e-07 7.92e-07 1.17e-06 1.14e-06 1.32e-05 9.90e-01 4 -6.0000e+00 -6.0000e+00 1.89e-09 7.92e-09 1.17e-08 1.14e-08 1.32e-07 9.90e-01 5 -6.0000e+00 -6.0000e+00 1.89e-11 7.92e-11 1.17e-10 1.14e-10 1.32e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 823μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 5 nnz(P) = 0 nnz(A) = 5 cones (total) = 2 : Nonnegative = 1, numel = 2 : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 7.0000e+00 7.00e+00 5.28e-01 2.91e-01 1.00e+00 2.87e+00 ------ 1 5.2609e+00 6.4057e+00 2.18e-01 4.08e-02 2.15e-02 3.54e-01 2.52e-01 9.16e-01 2 5.0048e+00 5.0577e+00 1.06e-02 1.83e-03 9.69e-04 1.99e-02 1.25e-02 9.54e-01 3 5.0002e+00 5.0016e+00 2.65e-04 4.63e-05 2.45e-05 4.97e-04 3.18e-04 9.81e-01 4 5.0000e+00 5.0000e+00 2.73e-06 4.76e-07 2.52e-07 5.12e-06 3.27e-06 9.90e-01 5 5.0000e+00 5.0000e+00 6.76e-08 1.18e-08 6.22e-09 1.26e-07 8.09e-08 9.75e-01 6 5.0000e+00 5.0000e+00 1.93e-09 3.36e-10 1.78e-10 3.61e-09 2.31e-09 9.72e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 915μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 2 nnz(P) = 0 nnz(A) = 2 cones (total) = 1 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 7.0000e+00 7.00e+00 1.36e-01 2.34e-01 1.00e+00 1.00e+00 ------ 1 -9.9000e+01 7.0000e+00 1.51e+01 4.41e-03 9.73e-03 1.00e+02 1.00e-02 9.90e-01 2 -9.9989e+03 7.0000e+00 1.43e+03 4.49e-05 1.00e-04 1.00e+04 1.00e-04 9.90e-01 3 -9.9999e+05 6.9999e+00 1.43e+05 4.49e-07 1.00e-06 1.00e+06 1.00e-06 9.90e-01 4 -9.9998e+07 6.9999e+00 1.43e+07 4.49e-09 1.00e-08 1.00e+08 1.00e-08 9.90e-01 5 -9.9998e+09 6.9999e+00 1.43e+09 4.49e-11 1.00e-10 1.00e+10 1.00e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = dual infeasible solve time = 618μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 6 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Nonnegative = 1, numel = 3 : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 5.0000e-01 8.5000e+00 8.00e+00 5.07e-01 4.02e-01 1.00e+00 2.50e+00 ------ 1 5.2648e+00 6.3999e+00 2.16e-01 3.13e-02 2.49e-02 3.83e-01 1.67e-01 9.34e-01 2 5.0096e+00 5.0628e+00 1.06e-02 1.51e-03 1.21e-03 1.93e-02 8.72e-03 9.50e-01 3 5.0003e+00 5.0013e+00 2.15e-04 3.09e-05 2.47e-05 3.83e-04 1.80e-04 9.83e-01 4 5.0000e+00 5.0000e+00 2.44e-06 3.51e-07 2.81e-07 4.35e-06 2.04e-06 9.89e-01 5 5.0000e+00 5.0000e+00 6.95e-08 9.99e-09 7.99e-09 1.24e-07 5.81e-08 9.72e-01 6 5.0000e+00 5.0000e+00 1.75e-09 2.52e-10 2.02e-10 3.12e-09 1.47e-09 9.75e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 958μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 3 nnz(P) = 0 nnz(A) = 3 cones (total) = 1 : Nonnegative = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.0000e+00 9.0000e+00 8.00e+00 1.60e-01 2.03e-01 1.00e+00 1.25e+00 ------ 1 1.0656e+00 1.5823e+00 4.85e-01 1.14e-02 1.56e-02 7.15e-03 1.27e-01 9.12e-01 2 1.0006e+00 1.0056e+00 5.04e-03 1.11e-04 1.52e-04 1.14e-04 1.32e-03 9.90e-01 3 1.0000e+00 1.0001e+00 5.04e-05 1.11e-06 1.52e-06 1.14e-06 1.32e-05 9.90e-01 4 1.0000e+00 1.0000e+00 5.04e-07 1.11e-08 1.52e-08 1.14e-08 1.32e-07 9.90e-01 5 1.0000e+00 1.0000e+00 5.04e-09 1.11e-10 1.52e-10 1.14e-10 1.32e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 636μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 6 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Nonnegative = 1, numel = 3 : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 3.0000e+00 1.6000e+01 4.33e+00 4.43e-01 3.29e-01 1.00e+00 3.50e+00 ------ 1 6.1073e+00 7.5865e+00 2.42e-01 4.20e-02 2.80e-02 3.07e-02 4.25e-01 8.83e-01 2 5.9426e+00 6.1457e+00 3.42e-02 5.53e-03 3.76e-03 1.81e-02 7.47e-02 8.70e-01 3 5.9995e+00 6.0023e+00 4.67e-04 7.23e-05 4.87e-05 3.77e-04 1.05e-03 9.90e-01 4 6.0000e+00 6.0000e+00 4.67e-06 7.23e-07 4.87e-07 3.76e-06 1.05e-05 9.90e-01 5 6.0000e+00 6.0000e+00 4.67e-08 7.23e-09 4.87e-09 3.76e-08 1.05e-07 9.90e-01 6 6.0000e+00 6.0000e+00 4.67e-10 7.23e-11 4.87e-11 3.76e-10 1.05e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 985μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 5 nnz(P) = 0 nnz(A) = 5 cones (total) = 2 : Nonnegative = 1, numel = 2 : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 7.0000e+00 7.00e+00 5.28e-01 2.91e-01 1.00e+00 2.87e+00 ------ 1 5.2609e+00 6.4057e+00 2.18e-01 4.08e-02 2.15e-02 3.54e-01 2.52e-01 9.16e-01 2 5.0048e+00 5.0577e+00 1.06e-02 1.83e-03 9.69e-04 1.99e-02 1.25e-02 9.54e-01 3 5.0002e+00 5.0016e+00 2.65e-04 4.63e-05 2.45e-05 4.97e-04 3.18e-04 9.81e-01 4 5.0000e+00 5.0000e+00 2.73e-06 4.76e-07 2.52e-07 5.12e-06 3.27e-06 9.90e-01 5 5.0000e+00 5.0000e+00 6.76e-08 1.18e-08 6.22e-09 1.26e-07 8.09e-08 9.75e-01 6 5.0000e+00 5.0000e+00 1.93e-09 3.36e-10 1.78e-10 3.61e-09 2.31e-09 9.72e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 974μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 5 constraints = 6 nnz(P) = 0 nnz(A) = 8 cones (total) = 2 : Zero = 1, numel = 3 : SecondOrder = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 0.00e+00 4.30e-01 1.00e+00 2.12e+00 ------ 1 -1.8731e+00 -1.8024e+00 3.92e-02 1.09e-16 5.67e-02 2.08e-01 2.90e-01 9.26e-01 2 -2.2324e+00 -2.2316e+00 3.53e-04 1.08e-16 5.70e-04 2.23e-03 3.06e-03 9.90e-01 3 -2.2360e+00 -2.2360e+00 3.52e-06 2.99e-17 5.70e-06 2.23e-05 3.06e-05 9.90e-01 4 -2.2361e+00 -2.2361e+00 3.52e-08 1.06e-13 5.70e-08 2.23e-07 3.06e-07 9.90e-01 5 -2.2361e+00 -2.2361e+00 3.52e-10 2.14e-15 5.70e-10 2.23e-09 3.06e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 865μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 2 nnz(P) = 0 nnz(A) = 2 cones (total) = 1 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 2.0000e+00 2.00e+00 1.17e+00 0.00e+00 1.00e+00 1.00e+00 ------ 1 0.0000e+00 1.5050e+02 1.50e+02 1.01e+00 0.00e+00 1.40e+02 1.06e-01 9.08e-01 2 0.0000e+00 8.7198e+03 8.72e+03 1.02e+00 0.00e+00 8.71e+03 1.10e-03 9.90e-01 3 0.0000e+00 8.7189e+05 8.72e+05 1.02e+00 0.00e+00 8.72e+05 1.10e-05 9.90e-01 4 0.0000e+00 8.7189e+07 8.72e+07 1.02e+00 0.00e+00 8.72e+07 1.10e-07 9.90e-01 5 0.0000e+00 8.7157e+09 8.72e+09 1.02e+00 0.00e+00 8.72e+09 1.10e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 747μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 2 nnz(P) = 0 nnz(A) = 2 cones (total) = 1 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 1.0000e+00 1.00e+00 7.28e-01 0.00e+00 1.00e+00 1.00e+00 ------ 1 0.0000e+00 1.0000e+02 1.00e+02 7.28e-01 0.00e+00 1.00e+02 1.00e-02 9.90e-01 2 0.0000e+00 1.0000e+04 1.00e+04 7.28e-01 0.00e+00 1.00e+04 1.00e-04 9.90e-01 3 0.0000e+00 1.0000e+06 1.00e+06 7.28e-01 0.00e+00 1.00e+06 1.00e-06 9.90e-01 4 0.0000e+00 9.9997e+07 1.00e+08 7.28e-01 0.00e+00 1.00e+08 1.00e-08 9.90e-01 5 0.0000e+00 9.9997e+09 1.00e+10 7.28e-01 0.00e+00 1.00e+10 1.00e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 748μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 5 nnz(P) = 0 nnz(A) = 8 cones (total) = 2 : Zero = 1, numel = 2 : Nonnegative = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -9.0000e+00 -9.0000e+00 0.00e+00 1.30e-16 3.29e-01 1.00e+00 1.75e+00 ------ 1 -1.0253e+01 -1.0230e+01 2.27e-03 9.67e-17 7.04e-02 2.19e-01 3.42e-01 8.35e-01 2 -1.0992e+01 -1.0991e+01 1.06e-04 3.33e-17 1.11e-03 4.36e-03 5.60e-03 9.90e-01 3 -1.1000e+01 -1.1000e+01 1.06e-06 3.48e-19 1.11e-05 4.36e-05 5.60e-05 9.90e-01 4 -1.1000e+01 -1.1000e+01 1.06e-08 1.03e-13 1.11e-07 4.36e-07 5.60e-07 9.90e-01 5 -1.1000e+01 -1.1000e+01 1.06e-10 2.06e-15 1.11e-09 4.36e-09 5.60e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 816μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 4 constraints = 6 nnz(P) = 0 nnz(A) = 8 cones (total) = 2 : Zero = 1, numel = 4 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -8.2000e+01 -8.2000e+01 0.00e+00 2.18e-16 4.46e-02 1.00e+00 6.67e+00 ------ 1 -8.2000e+01 -8.2000e+01 0.00e+00 9.92e-18 4.47e-04 1.00e-02 6.67e-02 9.90e-01 2 -8.2000e+01 -8.2000e+01 0.00e+00 4.07e-17 4.47e-06 1.00e-04 6.67e-04 9.90e-01 3 -8.2000e+01 -8.2000e+01 1.73e-16 3.12e-14 4.47e-08 1.00e-06 6.67e-06 9.90e-01 4 -8.2000e+01 -8.2000e+01 1.73e-16 5.45e-16 4.47e-10 1.00e-08 6.67e-08 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 777μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 5 nnz(P) = 0 nnz(A) = 8 cones (total) = 2 : Zero = 1, numel = 2 : Nonnegative = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -9.0000e+00 -9.0000e+00 0.00e+00 1.30e-16 3.29e-01 1.00e+00 1.75e+00 ------ 1 -1.0253e+01 -1.0230e+01 2.27e-03 1.04e-16 7.04e-02 2.19e-01 3.42e-01 8.35e-01 2 -1.0992e+01 -1.0991e+01 1.06e-04 8.45e-17 1.11e-03 4.36e-03 5.60e-03 9.90e-01 3 -1.1000e+01 -1.1000e+01 1.06e-06 6.64e-17 1.11e-05 4.36e-05 5.60e-05 9.90e-01 4 -1.1000e+01 -1.1000e+01 1.06e-08 1.03e-13 1.11e-07 4.36e-07 5.60e-07 9.90e-01 5 -1.1000e+01 -1.1000e+01 1.06e-10 2.05e-15 1.11e-09 4.36e-09 5.60e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 853μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 4 constraints = 6 nnz(P) = 0 nnz(A) = 8 cones (total) = 3 : Zero = 2, numel = (1,3) : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -8.2000e+01 -8.2000e+01 0.00e+00 2.18e-16 4.46e-02 1.00e+00 6.67e+00 ------ 1 -8.2000e+01 -8.2000e+01 0.00e+00 9.92e-18 4.47e-04 1.00e-02 6.67e-02 9.90e-01 2 -8.2000e+01 -8.2000e+01 0.00e+00 4.07e-17 4.47e-06 1.00e-04 6.67e-04 9.90e-01 3 -8.2000e+01 -8.2000e+01 1.73e-16 3.12e-14 4.47e-08 1.00e-06 6.67e-06 9.90e-01 4 -8.2000e+01 -8.2000e+01 1.73e-16 5.45e-16 4.47e-10 1.00e-08 6.67e-08 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 786μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 2 nnz(P) = 0 nnz(A) = 1 cones (total) = 1 : SecondOrder = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 6.18e-01 0.00e+00 1.00e+00 1.50e+00 ------ 1 6.0628e-01 6.2163e-01 1.53e-02 1.33e-01 7.98e-17 2.17e-01 3.03e-01 8.29e-01 2 9.9515e-01 9.9597e-01 8.20e-04 1.97e-03 0.00e+00 4.17e-03 5.03e-03 9.90e-01 3 9.9995e-01 9.9996e-01 8.20e-06 1.96e-05 0.00e+00 4.17e-05 5.03e-05 9.90e-01 4 1.0000e+00 1.0000e+00 8.20e-08 1.96e-07 1.41e-13 4.17e-07 5.03e-07 9.90e-01 5 1.0000e+00 1.0000e+00 8.20e-10 1.96e-09 2.80e-15 4.17e-09 5.03e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 841μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 1 nnz(P) = 0 nnz(A) = 1 cones (total) = 1 : Zero = 1, numel = 1 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 5.0000e-01 5.0000e-01 0.00e+00 1.05e-16 7.85e-17 1.00e+00 1.00e+00 ------ 0 5.0000e-01 5.0000e-01 0.00e+00 1.05e-16 7.85e-17 1.00e+00 1.00e+00 ------ --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 350μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 1 nnz(P) = 0 nnz(A) = 1 cones (total) = 1 : Nonnegative = 1, numel = 1 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 5.0000e-01 7.0711e-01 2.07e-01 4.85e-01 1.88e-01 1.00e+00 1.00e+00 ------ 1 5.2226e-01 5.0640e-01 1.59e-02 2.71e-02 6.31e-03 8.63e-03 3.58e-02 9.66e-01 2 5.0022e-01 5.0006e-01 1.56e-04 2.88e-04 6.34e-05 8.63e-05 3.59e-04 9.90e-01 3 5.0000e-01 5.0000e-01 1.56e-06 2.89e-06 6.34e-07 8.63e-07 3.59e-06 9.90e-01 4 5.0000e-01 5.0000e-01 1.56e-08 2.89e-08 6.34e-09 8.63e-09 3.59e-08 9.90e-01 5 5.0000e-01 5.0000e-01 1.56e-10 2.89e-10 6.34e-11 8.63e-11 3.59e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 842μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 2 nnz(P) = 0 nnz(A) = 2 cones (total) = 1 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.7500e+00 -8.1213e+00 1.17e+00 8.78e-17 0.00e+00 1.00e+00 1.79e+00 ------ 1 -5.1888e+00 -6.0212e+00 1.60e-01 7.61e-17 1.01e-16 2.22e-01 3.52e-01 8.36e-01 2 -5.9913e+00 -6.0036e+00 2.06e-03 5.24e-17 9.66e-17 4.23e-03 5.53e-03 9.90e-01 3 -5.9999e+00 -6.0000e+00 2.06e-05 8.72e-17 9.66e-17 4.23e-05 5.53e-05 9.90e-01 4 -6.0000e+00 -6.0000e+00 2.06e-07 3.78e-14 8.83e-14 4.23e-07 5.53e-07 9.90e-01 5 -6.0000e+00 -6.0000e+00 2.06e-09 6.91e-16 1.74e-15 4.23e-09 5.53e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 757μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 1 nnz(P) = 0 nnz(A) = 1 cones (total) = 1 : Nonnegative = 1, numel = 1 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -5.0000e-01 -7.0711e-01 2.07e-01 4.85e-01 1.88e-01 1.00e+00 1.00e+00 ------ 1 -4.7774e-01 -5.0640e-01 2.87e-02 2.79e-02 6.45e-03 8.63e-03 3.58e-02 9.66e-01 2 -4.9978e-01 -5.0006e-01 2.83e-04 2.89e-04 6.34e-05 8.63e-05 3.59e-04 9.90e-01 3 -5.0000e-01 -5.0000e-01 2.83e-06 2.89e-06 6.34e-07 8.63e-07 3.59e-06 9.90e-01 4 -5.0000e-01 -5.0000e-01 2.83e-08 2.89e-08 6.34e-09 8.63e-09 3.59e-08 9.90e-01 5 -5.0000e-01 -5.0000e-01 2.83e-10 2.89e-10 6.34e-11 8.63e-11 3.59e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 825μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 1 nnz(P) = 0 nnz(A) = 1 cones (total) = 1 : Nonnegative = 1, numel = 1 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -5.0000e-01 -7.0711e-01 2.07e-01 4.85e-01 1.88e-01 1.00e+00 1.00e+00 ------ 1 -4.7774e-01 -5.0640e-01 2.87e-02 2.79e-02 6.45e-03 8.63e-03 3.58e-02 9.66e-01 2 -4.9978e-01 -5.0006e-01 2.83e-04 2.89e-04 6.34e-05 8.63e-05 3.59e-04 9.90e-01 3 -5.0000e-01 -5.0000e-01 2.83e-06 2.89e-06 6.34e-07 8.63e-07 3.59e-06 9.90e-01 4 -5.0000e-01 -5.0000e-01 2.83e-08 2.89e-08 6.34e-09 8.63e-09 3.59e-08 9.90e-01 5 -5.0000e-01 -5.0000e-01 2.83e-10 2.89e-10 6.34e-11 8.63e-11 3.59e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 710μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 1 nnz(P) = 0 nnz(A) = 1 cones (total) = 1 : Nonnegative = 1, numel = 1 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -5.0000e-01 -7.0711e-01 2.07e-01 4.85e-01 1.88e-01 1.00e+00 1.00e+00 ------ 1 -4.7774e-01 -5.0640e-01 2.87e-02 2.79e-02 6.45e-03 8.63e-03 3.58e-02 9.66e-01 2 -4.9978e-01 -5.0006e-01 2.83e-04 2.89e-04 6.34e-05 8.63e-05 3.59e-04 9.90e-01 3 -5.0000e-01 -5.0000e-01 2.83e-06 2.89e-06 6.34e-07 8.63e-07 3.59e-06 9.90e-01 4 -5.0000e-01 -5.0000e-01 2.83e-08 2.89e-08 6.34e-09 8.63e-09 3.59e-08 9.90e-01 5 -5.0000e-01 -5.0000e-01 2.83e-10 2.89e-10 6.34e-11 8.63e-11 3.59e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 748μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 6 nnz(P) = 0 nnz(A) = 5 cones (total) = 2 : Nonnegative = 1, numel = 2 : SecondOrder = 1, numel = 4 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -4.8570e-01 -8.2797e-01 3.42e-01 4.69e-01 5.77e-01 1.00e+00 2.24e+00 ------ 1 -1.9872e+00 -1.9641e+00 1.18e-02 7.25e-02 6.99e-02 2.25e-01 2.67e-01 8.92e-01 2 -1.8032e+00 -1.8094e+00 3.41e-03 6.87e-03 7.45e-03 1.13e-02 3.25e-02 8.89e-01 3 -1.8026e+00 -1.8025e+00 6.58e-05 1.73e-04 1.98e-04 5.56e-04 9.10e-04 9.75e-01 4 -1.8028e+00 -1.8028e+00 1.66e-06 3.82e-06 4.36e-06 1.26e-05 2.00e-05 9.78e-01 5 -1.8028e+00 -1.8028e+00 8.31e-08 1.86e-07 2.13e-07 6.19e-07 9.76e-07 9.54e-01 6 -1.8028e+00 -1.8028e+00 1.19e-09 2.65e-09 3.02e-09 8.81e-09 1.39e-08 9.86e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.02ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 3 nnz(P) = 0 nnz(A) = 4 cones (total) = 1 : Nonnegative = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 1.00e+00 9.71e-01 1.00e+00 1.32e+00 ------ 1 -1.2824e+02 -0.0000e+00 1.28e+02 1.29e-01 2.72e-01 1.47e+02 2.45e-01 8.29e-01 2 -7.7947e+02 -0.0000e+00 7.79e+02 2.40e-03 9.32e-03 7.81e+02 5.76e-03 9.86e-01 3 -7.8311e+04 -0.0000e+00 7.83e+04 2.39e-05 9.38e-05 7.83e+04 5.76e-05 9.90e-01 4 -7.8315e+06 -0.0000e+00 7.83e+06 2.39e-07 9.38e-07 7.83e+06 5.76e-07 9.90e-01 5 -7.8309e+08 -0.0000e+00 7.83e+08 2.39e-09 9.38e-09 7.83e+08 5.76e-09 9.90e-01 6 -7.8309e+10 -0.0000e+00 7.83e+10 2.39e-11 9.38e-11 7.83e+10 5.76e-11 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = dual infeasible solve time = 2.01ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 3 nnz(P) = 0 nnz(A) = 4 cones (total) = 2 : Zero = 1, numel = 1 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 1.00e+00 1.17e+00 1.00e+00 1.00e+00 ------ 1 -1.2927e+02 -0.0000e+00 1.29e+02 7.59e-02 2.48e-01 1.40e+02 1.06e-01 9.08e-01 2 -8.7070e+03 -0.0000e+00 8.71e+03 7.32e-04 2.92e-03 8.71e+03 1.10e-03 9.90e-01 3 -8.7187e+05 -0.0000e+00 8.72e+05 7.32e-06 2.93e-05 8.72e+05 1.10e-05 9.90e-01 4 -8.7189e+07 -0.0000e+00 8.72e+07 7.32e-08 2.93e-07 8.72e+07 1.10e-07 9.90e-01 5 -8.7157e+09 -0.0000e+00 8.72e+09 7.32e-10 2.93e-09 8.72e+09 1.10e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = dual infeasible solve time = 867μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 2 nnz(P) = 0 nnz(A) = 4 cones (total) = 2 : Zero = 1, numel = 1 : Nonnegative = 1, numel = 1 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 5.7735e-01 5.77e-01 5.74e-01 2.08e+00 1.00e+00 1.00e+00 ------ 1 0.0000e+00 5.7735e-03 5.77e-03 4.95e-03 2.08e-02 1.00e-02 1.00e-02 9.90e-01 2 0.0000e+00 5.7735e-05 5.77e-05 4.94e-05 2.08e-04 1.00e-04 1.00e-04 9.90e-01 3 0.0000e+00 5.7735e-07 5.77e-07 4.94e-07 2.08e-06 1.00e-06 1.00e-06 9.90e-01 4 0.0000e+00 5.7735e-09 5.77e-09 4.94e-09 2.08e-08 1.00e-08 1.00e-08 9.90e-01 5 0.0000e+00 5.7735e-11 5.77e-11 4.94e-11 2.08e-10 1.00e-10 1.00e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 800μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 3 nnz(P) = 0 nnz(A) = 4 cones (total) = 1 : Nonnegative = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -2.0016e-01 7.0711e-01 9.07e-01 7.50e-01 9.35e-02 1.00e+00 1.22e+00 ------ 1 1.3301e+00 3.0207e+01 2.17e+01 7.69e-01 9.61e-03 2.91e+01 7.86e-02 9.52e-01 2 9.2706e-01 2.3257e+03 2.32e+03 7.77e-01 1.06e-04 2.32e+03 8.35e-04 9.89e-01 3 9.2703e-01 2.3260e+05 2.33e+05 7.77e-01 1.06e-06 2.33e+05 8.35e-06 9.90e-01 4 9.2703e-01 2.3260e+07 2.33e+07 7.77e-01 1.06e-08 2.33e+07 8.35e-08 9.90e-01 5 9.2694e-01 2.3241e+09 2.32e+09 7.77e-01 1.06e-10 2.32e+09 8.35e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 1.64ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 0 nnz(A) = 5 cones (total) = 1 : Nonnegative = 1, numel = 4 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -7.3777e-01 2.8920e-02 7.67e-01 3.39e-01 3.53e-01 1.00e+00 2.77e+00 ------ 1 -1.1148e-01 1.0441e-01 2.16e-01 4.74e-02 4.23e-02 2.47e-01 3.16e-01 8.88e-01 2 -9.7509e-01 2.4968e+01 2.59e+01 4.32e-01 5.89e-03 2.63e+01 3.70e-02 9.50e-01 3 -7.6348e-01 1.8579e+03 1.86e+03 3.61e-01 6.05e-05 1.86e+03 3.80e-04 9.90e-01 4 -7.6345e-01 1.8577e+05 1.86e+05 3.61e-01 6.05e-07 1.86e+05 3.80e-06 9.90e-01 5 -7.6345e-01 1.8577e+07 1.86e+07 3.61e-01 6.05e-09 1.86e+07 3.80e-08 9.90e-01 6 -7.6345e-01 1.8577e+09 1.86e+09 3.61e-01 6.05e-11 1.86e+09 3.80e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = primal infeasible solve time = 869μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 0 nnz(A) = 6 cones (total) = 1 : Nonnegative = 1, numel = 4 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 3.6000e+00 -1.1800e+01 4.28e+00 1.85e-17 3.00e-01 1.00e+00 4.29e+00 ------ 1 1.9429e+00 -6.7637e-01 2.62e+00 8.26e-17 9.59e-02 1.39e-01 8.09e-01 8.21e-01 2 1.6689e-02 -3.3806e-01 3.55e-01 6.84e-17 2.25e-02 3.99e-02 1.35e-01 8.69e-01 3 4.7010e-03 -4.8262e-03 9.53e-03 1.36e-16 5.62e-04 1.72e-03 3.84e-03 9.85e-01 4 4.6991e-05 -4.8309e-05 9.53e-05 6.99e-17 5.62e-06 1.72e-05 3.84e-05 9.90e-01 5 4.6991e-07 -4.8309e-07 9.53e-07 1.83e-14 5.62e-08 1.72e-07 3.84e-07 9.90e-01 6 4.6991e-09 -4.8309e-09 9.53e-09 3.71e-16 5.62e-10 1.72e-09 3.84e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 846μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 2 nnz(P) = 0 nnz(A) = 2 cones (total) = 1 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 1.00e+00 0.00e+00 1.00e+00 1.00e+00 ------ 1 0.0000e+00 -0.0000e+00 0.00e+00 1.41e-02 0.00e+00 1.00e-02 1.00e-02 9.90e-01 2 0.0000e+00 -0.0000e+00 0.00e+00 1.41e-04 0.00e+00 1.00e-04 1.00e-04 9.90e-01 3 8.9447e-21 -0.0000e+00 8.94e-21 1.41e-06 0.00e+00 1.00e-06 1.00e-06 9.90e-01 4 -8.9180e-33 -0.0000e+00 8.92e-33 1.41e-08 0.00e+00 1.00e-08 1.00e-08 9.90e-01 5 -8.9180e-33 -0.0000e+00 8.92e-33 1.41e-10 0.00e+00 1.00e-10 1.00e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 729μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 2 nnz(P) = 0 nnz(A) = 2 cones (total) = 1 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.0000e+02 1.0000e+02 1.42e-16 7.02e-03 0.00e+00 1.00e+00 1.00e+00 ------ 1 1.0000e+02 1.0000e+02 1.42e-16 7.07e-05 0.00e+00 1.00e-02 1.00e-02 9.90e-01 2 1.0000e+02 1.0000e+02 1.42e-16 7.07e-07 0.00e+00 1.00e-04 1.00e-04 9.90e-01 3 1.0000e+02 1.0000e+02 1.42e-16 7.07e-09 0.00e+00 1.00e-06 1.00e-06 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 573μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 2 nnz(P) = 0 nnz(A) = 2 cones (total) = 1 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 2.0000e+02 2.0000e+02 1.42e-16 5.82e-03 0.00e+00 1.00e+00 1.00e+00 ------ 1 2.0000e+02 2.0000e+02 0.00e+00 5.86e-05 0.00e+00 1.00e-02 1.00e-02 9.90e-01 2 2.0000e+02 2.0000e+02 0.00e+00 5.86e-07 0.00e+00 1.00e-04 1.00e-04 9.90e-01 3 2.0000e+02 2.0000e+02 1.42e-16 5.86e-09 0.00e+00 1.00e-06 1.00e-06 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 567μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 2 nnz(P) = 0 nnz(A) = 2 cones (total) = 1 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 1.00e+00 0.00e+00 1.00e+00 1.00e+00 ------ 1 0.0000e+00 -0.0000e+00 0.00e+00 1.41e-02 0.00e+00 1.00e-02 1.00e-02 9.90e-01 2 0.0000e+00 -0.0000e+00 0.00e+00 1.41e-04 0.00e+00 1.00e-04 1.00e-04 9.90e-01 3 8.9447e-21 -0.0000e+00 8.94e-21 1.41e-06 0.00e+00 1.00e-06 1.00e-06 9.90e-01 4 -8.9180e-33 -0.0000e+00 8.92e-33 1.41e-08 0.00e+00 1.00e-08 1.00e-08 9.90e-01 5 -8.9180e-33 -0.0000e+00 8.92e-33 1.41e-10 0.00e+00 1.00e-10 1.00e-10 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 739μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 2 nnz(P) = 0 nnz(A) = 2 cones (total) = 1 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.0000e+02 1.0000e+02 1.42e-16 7.02e-03 0.00e+00 1.00e+00 1.00e+00 ------ 1 1.0000e+02 1.0000e+02 1.42e-16 7.07e-05 0.00e+00 1.00e-02 1.00e-02 9.90e-01 2 1.0000e+02 1.0000e+02 1.42e-16 7.07e-07 0.00e+00 1.00e-04 1.00e-04 9.90e-01 3 1.0000e+02 1.0000e+02 1.42e-16 7.07e-09 0.00e+00 1.00e-06 1.00e-06 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 397μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 2 nnz(P) = 0 nnz(A) = 2 cones (total) = 1 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 2.0000e+02 2.0000e+02 1.42e-16 5.82e-03 0.00e+00 1.00e+00 1.00e+00 ------ 1 2.0000e+02 2.0000e+02 0.00e+00 5.86e-05 0.00e+00 1.00e-02 1.00e-02 9.90e-01 2 2.0000e+02 2.0000e+02 0.00e+00 5.86e-07 0.00e+00 1.00e-04 1.00e-04 9.90e-01 3 2.0000e+02 2.0000e+02 1.42e-16 5.86e-09 0.00e+00 1.00e-06 1.00e-06 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 583μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 2 nnz(P) = 0 nnz(A) = 1 cones (total) = 1 : Zero = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 0.0000e+00 -0.0000e+00 0.00e+00 0.00e+00 0.00e+00 1.00e+00 1.00e+00 ------ 0 0.0000e+00 -0.0000e+00 0.00e+00 0.00e+00 0.00e+00 1.00e+00 1.00e+00 ------ --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 318μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 5 nnz(P) = 0 nnz(A) = 8 cones (total) = 1 : Nonnegative = 1, numel = 5 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -5.9872e+04 -9.0207e+04 5.07e-01 4.99e-02 2.16e-01 1.00e+00 4.34e+03 ------ 1 -7.0044e+04 -7.6170e+04 8.75e-02 1.25e-02 4.90e-02 2.75e+02 1.08e+03 8.26e-01 2 -7.1692e+04 -7.2740e+04 1.46e-02 2.36e-03 9.05e-03 1.15e+02 1.97e+02 9.44e-01 3 -7.1835e+04 -7.1960e+04 1.75e-03 2.83e-04 1.09e-03 1.38e+01 2.51e+01 8.78e-01 4 -7.1818e+04 -7.1822e+04 5.50e-05 8.99e-06 3.46e-05 4.78e-01 7.99e-01 9.86e-01 5 -7.1818e+04 -7.1818e+04 5.50e-07 9.00e-08 3.46e-07 4.78e-03 8.00e-03 9.90e-01 6 -7.1818e+04 -7.1818e+04 5.50e-09 9.00e-10 3.46e-09 4.78e-05 8.00e-05 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 2.90s ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 2 nnz(P) = 0 nnz(A) = 2 cones (total) = 1 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 1.5000e+00 3.0000e+00 1.00e+00 4.10e-01 2.55e-01 1.00e+00 2.00e+00 ------ 1 2.8253e+00 2.9447e+00 4.23e-02 2.93e-02 1.52e-02 8.28e-02 1.75e-01 9.18e-01 2 2.9983e+00 2.9995e+00 4.00e-04 2.88e-04 1.47e-04 8.32e-04 1.76e-03 9.90e-01 3 3.0000e+00 3.0000e+00 3.99e-06 2.88e-06 1.47e-06 8.32e-06 1.76e-05 9.90e-01 4 3.0000e+00 3.0000e+00 3.99e-08 2.88e-08 1.47e-08 8.32e-08 1.76e-07 9.90e-01 5 3.0000e+00 3.0000e+00 3.99e-10 2.88e-10 1.47e-10 8.32e-10 1.76e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 794μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 1 constraints = 2 nnz(P) = 0 nnz(A) = 2 cones (total) = 1 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.5000e+00 -3.0000e+00 1.00e+00 4.10e-01 2.55e-01 1.00e+00 2.00e+00 ------ 1 -1.7467e-01 -2.7489e-01 1.00e-01 4.19e-02 3.39e-02 8.28e-02 1.75e-01 9.18e-01 2 -1.7446e-03 -2.7444e-03 1.00e-03 4.32e-04 3.66e-04 8.32e-04 1.76e-03 9.90e-01 3 -1.7445e-05 -2.7444e-05 1.00e-05 4.32e-06 3.66e-06 8.32e-06 1.76e-05 9.90e-01 4 -1.7445e-07 -2.7444e-07 1.00e-07 4.32e-08 3.66e-08 8.32e-08 1.76e-07 9.90e-01 5 -1.7445e-09 -2.7444e-09 1.00e-09 4.32e-10 3.66e-10 8.32e-10 1.76e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 690μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 3 nnz(P) = 0 nnz(A) = 4 cones (total) = 1 : Nonnegative = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.3333e-01 -2.0000e+00 1.67e+00 3.60e-01 0.00e+00 1.00e+00 1.50e+00 ------ 1 -7.2004e-01 -1.0067e+00 2.87e-01 6.32e-02 0.00e+00 9.52e-02 3.21e-01 8.16e-01 2 -9.9729e-01 -1.0015e+00 4.24e-03 9.03e-04 4.34e-17 2.01e-03 5.27e-03 9.90e-01 3 -9.9997e-01 -1.0000e+00 4.23e-05 9.01e-06 0.00e+00 2.01e-05 5.27e-05 9.90e-01 4 -1.0000e+00 -1.0000e+00 4.23e-07 9.01e-08 8.77e-14 2.01e-07 5.27e-07 9.90e-01 5 -1.0000e+00 -1.0000e+00 4.23e-09 9.01e-10 1.78e-15 2.01e-09 5.27e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 993μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 3 nnz(P) = 0 nnz(A) = 4 cones (total) = 1 : Nonnegative = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.3333e-01 -2.0000e+00 1.67e+00 3.60e-01 0.00e+00 1.00e+00 1.50e+00 ------ 1 -7.2004e-01 -1.0067e+00 2.87e-01 6.32e-02 0.00e+00 9.52e-02 3.21e-01 8.16e-01 2 -9.9729e-01 -1.0015e+00 4.24e-03 9.03e-04 4.34e-17 2.01e-03 5.27e-03 9.90e-01 3 -9.9997e-01 -1.0000e+00 4.23e-05 9.01e-06 0.00e+00 2.01e-05 5.27e-05 9.90e-01 4 -1.0000e+00 -1.0000e+00 4.23e-07 9.01e-08 8.77e-14 2.01e-07 5.27e-07 9.90e-01 5 -1.0000e+00 -1.0000e+00 4.23e-09 9.01e-10 1.78e-15 2.01e-09 5.27e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 749μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 4 nnz(P) = 0 nnz(A) = 6 cones (total) = 1 : Nonnegative = 1, numel = 4 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -7.5000e-01 -3.0000e+00 2.25e+00 4.37e-01 0.00e+00 1.00e+00 2.00e+00 ------ 1 -1.6833e+00 -2.0070e+00 1.92e-01 7.52e-02 0.00e+00 1.18e-01 3.87e-01 8.31e-01 2 -1.9970e+00 -2.0007e+00 1.86e-03 8.34e-04 5.18e-17 1.70e-03 4.76e-03 9.90e-01 3 -2.0000e+00 -2.0000e+00 1.86e-05 8.33e-06 2.59e-17 1.70e-05 4.76e-05 9.90e-01 4 -2.0000e+00 -2.0000e+00 1.86e-07 8.33e-08 4.40e-14 1.70e-07 4.76e-07 9.90e-01 5 -2.0000e+00 -2.0000e+00 1.86e-09 8.33e-10 8.69e-16 1.70e-09 4.76e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 901μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 4 nnz(P) = 0 nnz(A) = 6 cones (total) = 1 : Nonnegative = 1, numel = 4 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -5.0000e-01 -5.0000e+00 4.50e+00 2.59e-01 0.00e+00 1.00e+00 2.00e+00 ------ 1 -2.0177e+00 -3.0160e+00 4.95e-01 5.71e-02 0.00e+00 2.87e-01 5.83e-01 7.55e-01 2 -2.9853e+00 -3.0122e+00 9.03e-03 1.31e-03 4.92e-17 1.08e-02 1.71e-02 9.90e-01 3 -2.9999e+00 -3.0001e+00 8.97e-05 1.31e-05 2.45e-17 1.08e-04 1.71e-04 9.90e-01 4 -3.0000e+00 -3.0000e+00 8.97e-07 1.31e-07 1.58e-13 1.08e-06 1.71e-06 9.90e-01 5 -3.0000e+00 -3.0000e+00 8.97e-09 1.31e-09 3.17e-15 1.08e-08 1.71e-08 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.16ms ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 4 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Zero = 1, numel = 1 : Nonnegative = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.3333e-01 -2.0000e+00 1.67e+00 3.60e-01 2.82e-01 1.00e+00 1.50e+00 ------ 1 -7.2004e-01 -1.0067e+00 2.87e-01 6.32e-02 5.17e-02 9.52e-02 3.21e-01 8.16e-01 2 -9.9729e-01 -1.0015e+00 4.24e-03 9.03e-04 8.25e-04 2.01e-03 5.27e-03 9.90e-01 3 -9.9997e-01 -1.0000e+00 4.23e-05 9.01e-06 8.24e-06 2.01e-05 5.27e-05 9.90e-01 4 -1.0000e+00 -1.0000e+00 4.23e-07 9.01e-08 8.24e-08 2.01e-07 5.27e-07 9.90e-01 5 -1.0000e+00 -1.0000e+00 4.23e-09 9.01e-10 8.24e-10 2.01e-09 5.27e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 669μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 4 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Zero = 1, numel = 2 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -1.0000e+00 -1.0000e+00 0.00e+00 6.00e-17 3.45e-01 1.00e+00 1.33e+00 ------ 1 -1.4578e+00 -1.4535e+00 2.95e-03 6.48e-17 7.51e-02 1.93e-01 2.52e-01 8.24e-01 2 -1.9941e+00 -1.9929e+00 6.26e-04 8.54e-17 2.04e-03 6.75e-03 7.34e-03 9.90e-01 3 -1.9999e+00 -1.9999e+00 6.24e-06 1.05e-16 2.04e-05 6.75e-05 7.34e-05 9.90e-01 4 -2.0000e+00 -2.0000e+00 6.24e-08 1.38e-13 2.04e-07 6.75e-07 7.34e-07 9.90e-01 5 -2.0000e+00 -2.0000e+00 6.24e-10 2.78e-15 2.04e-09 6.75e-09 7.34e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 784μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 4 nnz(P) = 0 nnz(A) = 6 cones (total) = 2 : Zero = 1, numel = 2 : Nonnegative = 1, numel = 2 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.0000e+00 -3.0000e+00 0.00e+00 6.00e-17 3.27e-01 1.00e+00 1.33e+00 ------ 1 -3.4578e+00 -3.4535e+00 1.24e-03 1.02e-16 6.46e-02 1.93e-01 2.52e-01 8.24e-01 2 -3.9941e+00 -3.9929e+00 3.13e-04 1.07e-16 1.67e-03 6.75e-03 7.34e-03 9.90e-01 3 -3.9999e+00 -3.9999e+00 3.12e-06 3.70e-17 1.67e-05 6.75e-05 7.34e-05 9.90e-01 4 -4.0000e+00 -4.0000e+00 3.12e-08 1.38e-13 1.67e-07 6.75e-07 7.34e-07 9.90e-01 5 -4.0000e+00 -4.0000e+00 3.12e-10 2.73e-15 1.67e-09 6.75e-09 7.34e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 720μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 3 constraints = 5 nnz(P) = 0 nnz(A) = 8 cones (total) = 2 : Zero = 1, numel = 2 : Nonnegative = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.0000e+00 -3.0000e+00 1.48e-16 2.70e-01 3.59e-01 1.00e+00 1.79e+00 ------ 1 -2.9382e+00 -2.9891e+00 1.73e-02 1.99e-02 2.36e-02 5.82e-03 1.75e-01 9.56e-01 2 -2.9995e+00 -3.0001e+00 2.00e-04 2.64e-04 3.07e-04 1.35e-04 2.46e-03 9.86e-01 3 -3.0000e+00 -3.0000e+00 2.00e-06 2.64e-06 3.07e-06 1.35e-06 2.46e-05 9.90e-01 4 -3.0000e+00 -3.0000e+00 2.00e-08 2.64e-08 3.07e-08 1.35e-08 2.46e-07 9.90e-01 5 -3.0000e+00 -3.0000e+00 2.00e-10 2.64e-10 3.07e-10 1.35e-10 2.46e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 873μs ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 16 running 1 of 1 signal (10): User defined signal 1 _ZN15LiveDebugValues11MLocTracker12writeRegMaskEPKN4llvm14MachineOperandEjj at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN15LiveDebugValues16InstrRefBasedLDV19transferRegisterDefERN4llvm12MachineInstrE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN15LiveDebugValues16InstrRefBasedLDV27produceMLocTransferFunctionERN4llvm15MachineFunctionERNS1_15SmallVectorImplINS1_13SmallDenseMapINS_6LocIdxENS_10ValueIDNumELj4ENS1_12DenseMapInfoIS6_vEENS1_6detail12DenseMapPairIS6_S7_EEEEEEj at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN15LiveDebugValues16InstrRefBasedLDV12ExtendRangesERN4llvm15MachineFunctionEPNS1_20MachineDominatorTreeEPNS1_16TargetPassConfigEjj at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm19MachineFunctionPass13runOnFunctionERNS_8FunctionE.part.0 at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm13FPPassManager13runOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm13FPPassManager11runOnModuleERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm6legacy15PassManagerImpl3runERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm3orc14SimpleCompilerclERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) operator() at /source/src/jitlayers.cpp:1388 _ZN4llvm3orc14IRCompileLayer4emitESt10unique_ptrINS0_29MaterializationResponsibilityESt14default_deleteIS3_EENS0_16ThreadSafeModuleE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm3orc16IRTransformLayer4emitESt10unique_ptrINS0_29MaterializationResponsibilityESt14default_deleteIS3_EENS0_16ThreadSafeModuleE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm3orc16IRTransformLayer4emitESt10unique_ptrINS0_29MaterializationResponsibilityESt14default_deleteIS3_EENS0_16ThreadSafeModuleE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm3orc16IRTransformLayer4emitESt10unique_ptrINS0_29MaterializationResponsibilityESt14default_deleteIS3_EENS0_16ThreadSafeModuleE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm3orc16IRTransformLayer4emitESt10unique_ptrINS0_29MaterializationResponsibilityESt14default_deleteIS3_EENS0_16ThreadSafeModuleE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm3orc31BasicIRLayerMaterializationUnit11materializeESt10unique_ptrINS0_29MaterializationResponsibilityESt14default_deleteIS3_EE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm3orc19MaterializationTask3runEv at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm6detail18UniqueFunctionBaseIvJSt10unique_ptrINS_3orc4TaskESt14default_deleteIS4_EEEE8CallImplIPFvS7_EEEvPvRS7_ at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm3orc16ExecutionSession22dispatchOutstandingMUsEv at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm3orc16ExecutionSession17OL_completeLookupESt10unique_ptrINS0_21InProgressLookupStateESt14default_deleteIS3_EESt10shared_ptrINS0_23AsynchronousSymbolQueryEESt8functionIFvRKNS_8DenseMapIPNS0_8JITDylibENS_8DenseSetINS0_15SymbolStringPtrENS_12DenseMapInfoISF_vEEEENSG_ISD_vEENS_6detail12DenseMapPairISD_SI_EEEEEE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm3orc25InProgressFullLookupState8completeESt10unique_ptrINS0_21InProgressLookupStateESt14default_deleteIS3_EE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm3orc16ExecutionSession19OL_applyQueryPhase1ESt10unique_ptrINS0_21InProgressLookupStateESt14default_deleteIS3_EENS_5ErrorE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm3orc16ExecutionSession6lookupENS0_10LookupKindERKSt6vectorISt4pairIPNS0_8JITDylibENS0_19JITDylibLookupFlagsEESaIS8_EENS0_15SymbolLookupSetENS0_11SymbolStateENS_15unique_functionIFvNS_8ExpectedINS_8DenseMapINS0_15SymbolStringPtrENS_18JITEvaluatedSymbolENS_12DenseMapInfoISI_vEENS_6detail12DenseMapPairISI_SJ_EEEEEEEEESt8functionIFvRKNSH_IS6_NS_8DenseSetISI_SL_EENSK_IS6_vEENSN_IS6_SV_EEEEEE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) _ZN4llvm3orc16ExecutionSession6lookupERKSt6vectorISt4pairIPNS0_8JITDylibENS0_19JITDylibLookupFlagsEESaIS7_EENS0_15SymbolLookupSetENS0_10LookupKindENS0_11SymbolStateESt8functionIFvRKNS_8DenseMapIS5_NS_8DenseSetINS0_15SymbolStringPtrENS_12DenseMapInfoISI_vEEEENSJ_IS5_vEENS_6detail12DenseMapPairIS5_SL_EEEEEE at /opt/julia/bin/../lib/julia/libLLVM-16jl.so (unknown line) addModule at /source/src/jitlayers.cpp:1875 jl_add_to_ee at /source/src/jitlayers.cpp:2306 _jl_compile_codeinst at /source/src/jitlayers.cpp:277 jl_generate_fptr_impl at /source/src/jitlayers.cpp:536 jl_compile_method_internal at /source/src/gf.c:2536 [inlined] jl_compile_method_internal at /source/src/gf.c:2423 _jl_invoke at /source/src/gf.c:2940 [inlined] ijl_invoke at /source/src/gf.c:2955 broadcastcall at /home/pkgeval/.julia/packages/MathOptInterface/doGwJ/src/Utilities/struct_of_constraints.jl:294 _deleted_constraints at /home/pkgeval/.julia/packages/MathOptInterface/doGwJ/src/Utilities/struct_of_constraints.jl:50 [inlined] #127 at /home/pkgeval/.julia/packages/MathOptInterface/doGwJ/src/Utilities/struct_of_constraints.jl:52 [inlined] broadcastcall at /home/pkgeval/.julia/packages/MathOptInterface/doGwJ/src/Utilities/struct_of_constraints.jl:294 _deleted_constraints at /home/pkgeval/.julia/packages/MathOptInterface/doGwJ/src/Utilities/struct_of_constraints.jl:50 [inlined] delete at /home/pkgeval/.julia/packages/MathOptInterface/doGwJ/src/Utilities/model.jl:576 delete at /home/pkgeval/.julia/packages/MathOptInterface/doGwJ/src/Utilities/universalfallback.jl:252 delete at /home/pkgeval/.julia/packages/MathOptInterface/doGwJ/src/Utilities/cachingoptimizer.jl:739 delete at /home/pkgeval/.julia/packages/MathOptInterface/doGwJ/src/Bridges/bridge_optimizer.jl:658 test_linear_integration at /home/pkgeval/.julia/packages/MathOptInterface/doGwJ/src/Test/test_linear.jl:404 unknown function (ip: 0x7268167742d6) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 macro expansion at /home/pkgeval/.julia/packages/MathOptInterface/doGwJ/src/Test/Test.jl:270 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] #runtests#2 at /home/pkgeval/.julia/packages/MathOptInterface/doGwJ/src/Test/Test.jl:265 runtests at /home/pkgeval/.julia/packages/MathOptInterface/doGwJ/src/Test/Test.jl:222 unknown function (ip: 0x72681e47784d) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 test_MOI_standard at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/Interfaces/MOI_wrapper_tests.jl:69 unknown function (ip: 0x72681e46aa5f) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 macro expansion at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/Interfaces/MOI_wrapper_tests.jl:52 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] macro expansion at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/Interfaces/MOI_wrapper_tests.jl:52 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] runtests at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/Interfaces/MOI_wrapper_tests.jl:49 unknown function (ip: 0x72681e46a6df) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] include_string at ./loading.jl:2734 _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 _include at ./loading.jl:2794 include at ./sysimg.jl:38 unknown function (ip: 0x726836300082) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 eval_body at /source/src/interpreter.c:539 eval_body at /source/src/interpreter.c:539 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] include_string at ./loading.jl:2734 _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 _include at ./loading.jl:2794 include at ./sysimg.jl:38 unknown function (ip: 0x726836300082) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 eval_body at /source/src/interpreter.c:539 eval_body at /source/src/interpreter.c:539 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] include_string at ./loading.jl:2734 _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 _include at ./loading.jl:2794 include at ./sysimg.jl:38 unknown function (ip: 0x726836300082) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] exec_options at ./client.jl:296 _start at ./client.jl:531 jfptr__start_73523.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] true_main at /source/src/jlapi.c:900 jl_repl_entrypoint at /source/src/jlapi.c:1059 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x72683761e249) __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) unknown function (ip: (nil)) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:522 poptask at ./task.jl:1012 wait at ./task.jl:1021 #wait#731 at ./condition.jl:130 wait at ./condition.jl:125 [inlined] wait at ./process.jl:694 wait at ./process.jl:687 unknown function (ip: 0x7883d0d0a5c2) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 subprocess_handler at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2142 #131 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2082 withenv at ./env.jl:265 #118 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1931 with_temp_env at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1789 #116 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1898 #mktempdir#28 at ./file.jl:819 unknown function (ip: 0x7883d0d09a3d) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 mktempdir at ./file.jl:815 mktempdir at ./file.jl:815 [inlined] #sandbox#115 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1845 [inlined] sandbox at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1837 unknown function (ip: 0x7883d0cfe2d6) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 #test#128 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2063 test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2007 [inlined] #test#146 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:481 test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:460 unknown function (ip: 0x7883d0cfdfdd) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 #test#77 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:159 unknown function (ip: 0x7883d0cfd9cd) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:148 #test#75 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined] test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined] #test#74 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 [inlined] test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 unknown function (ip: 0x7883d0cf9e76) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 eval_body at /source/src/interpreter.c:539 eval_body at /source/src/interpreter.c:539 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] include_string at ./loading.jl:2734 _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 _include at ./loading.jl:2794 include at ./Base.jl:557 jfptr_include_46977.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 exec_options at ./client.jl:323 _start at ./client.jl:531 jfptr__start_73523.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] true_main at /source/src/jlapi.c:900 jl_repl_entrypoint at /source/src/jlapi.c:1059 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7883d1d53249) __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) unknown function (ip: (nil)) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.11/Profile/src/Profile.jl:1240 (c) Paul Goulart Overhead ╎ [+additional indent] Count File:Line; Function ========================================================= Thread 1 Task 0x000072682a000010 Total snapshots: 1. Utilization: 100% ╎1 @Base/client.jl:531; _start() ╎ 1 @Base/client.jl:296; exec_options(opts::Base.JLOptions) ╎ 1 @Base/boot.jl:430; eval ╎ 1 @Base/sysimg.jl:38; include(fname::String) ╎ 1 @Base/loading.jl:2794; _include(mapexpr::Function, mod::Module, _path::… ╎ 1 @Base/loading.jl:2734; include_string(mapexpr::typeof(identity), mod::… ╎ ╎ 1 @Base/boot.jl:430; eval ╎ ╎ 1 @Base/sysimg.jl:38; include(fname::String) ╎ ╎ 1 @Base/loading.jl:2794; _include(mapexpr::Function, mod::Module, _pa… ╎ ╎ 1 @Base/loading.jl:2734; include_string(mapexpr::typeof(identity), m… ╎ ╎ 1 @Base/boot.jl:430; eval ╎ ╎ ╎ 1 @Base/sysimg.jl:38; include(fname::String) ╎ ╎ ╎ 1 @Base/loading.jl:2794; _include(mapexpr::Function, mod::Module,… ╎ ╎ ╎ 1 @Base/loading.jl:2734; include_string(mapexpr::typeof(identity… ╎ ╎ ╎ 1 @Base/boot.jl:430; eval ╎ ╎ ╎ 1 …I_wrapper_tests.jl:49; runtests() ╎ ╎ ╎ ╎ 1 @Test/src/Test.jl:1704; macro expansion ╎ ╎ ╎ ╎ 1 …_wrapper_tests.jl:52; macro expansion ╎ ╎ ╎ ╎ 1 @Test/src/Test.jl:1704; macro expansion ╎ ╎ ╎ ╎ 1 …_wrapper_tests.jl:52; macro expansion ╎ ╎ ╎ ╎ 1 …wrapper_tests.jl:69; test_MOI_standard() ╎ ╎ ╎ ╎ ╎ 1 …rc/Test/Test.jl:222; kwcall(::@NamedTuple{exclude::Ve… ╎ ╎ ╎ ╎ ╎ 1 …rc/Test/Test.jl:265; runtests(model::MathOptInterfac… ╎ ╎ ╎ ╎ ╎ 1 …st/src/Test.jl:1704; macro expansion ╎ ╎ ╎ ╎ ╎ 1 …c/Test/Test.jl:270; macro expansion ╎ ╎ ╎ ╎ ╎ 1 …test_linear.jl:404; test_linear_integration(model… ╎ ╎ ╎ ╎ ╎ ╎ 1 …_optimizer.jl:658; delete(b::MathOptInterface.Br… ╎ ╎ ╎ ╎ ╎ ╎ 1 …goptimizer.jl:739; delete(m::MathOptInterface.U… ╎ ╎ ╎ ╎ ╎ ╎ 1 …alfallback.jl:252; delete(uf::MathOptInterface… ╎ ╎ ╎ ╎ ╎ ╎ 1 …ies/model.jl:576; delete(model::MathOptInterf… ╎ ╎ ╎ ╎ ╎ ╎ 1 …nstraints.jl:50; _deleted_constraints ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …straints.jl:294; broadcastcall(f::MathOptIn… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …straints.jl:52; #127 ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …straints.jl:50; _deleted_constraints ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …straints.jl:294; broadcastcall(f::MathOp… University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 3 nnz(P) = 0 nnz(A) = 4 cones (total) = 1 : Nonnegative = 1, numel = 3 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -3.3333e-01 -2.0000e+00 1.67e+00 3.60e-01 0.00e+00 1.00e+00 1.50e+00 ------ 1 -7.2004e-01 -1.0067e+00 2.87e-01 6.32e-02 0.00e+00 9.52e-02 3.21e-01 8.16e-01 2 -9.9729e-01 -1.0015e+00 4.24e-03 9.03e-04 4.34e-17 2.01e-03 5.27e-03 9.90e-01 3 -9.9997e-01 -1.0000e+00 4.23e-05 9.01e-06 0.00e+00 2.01e-05 5.27e-05 9.90e-01 4 -1.0000e+00 -1.0000e+00 4.23e-07 9.01e-08 8.77e-14 2.01e-07 5.27e-07 9.90e-01 5 -1.0000e+00 -1.0000e+00 4.23e-09 9.01e-10 1.78e-15 2.01e-09 5.27e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 1.22ms ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.11/Profile/src/Profile.jl:1240 Overhead ╎ [+additional indent] Count File:Line; Function ========================================================= Thread 1 Task 0x00007883c4600010 Total snapshots: 46. Utilization: 0% ╎46 @Base/client.jl:531; _start() ╎ 46 @Base/client.jl:323; exec_options(opts::Base.JLOptions) ╎ 46 @Base/Base.jl:557; include(mod::Module, _path::String) ╎ 46 @Base/loading.jl:2794; _include(mapexpr::Function, mod::Module, _path:… ╎ 46 @Base/loading.jl:2734; include_string(mapexpr::typeof(identity), mod:… ╎ 46 @Base/boot.jl:430; eval ╎ ╎ 46 @Pkg/src/API.jl:146; kwcall(::@NamedTuple{julia_args::Cmd}, ::typeo… ╎ ╎ 46 @Pkg/src/API.jl:146; #test#74 ╎ ╎ 46 @Pkg/src/API.jl:147; test ╎ ╎ 46 @Pkg/src/API.jl:147; #test#75 ╎ ╎ 46 @Pkg/src/API.jl:148; kwcall(::@NamedTuple{julia_args::Cmd}, ::t… ╎ ╎ ╎ 46 @Pkg/src/API.jl:159; test(pkgs::Vector{Pkg.Types.PackageSpec};… ╎ ╎ ╎ 46 @Pkg/src/API.jl:460; kwcall(::@NamedTuple{julia_args::Cmd, io… ╎ ╎ ╎ 46 @Pkg/src/API.jl:481; test(ctx::Pkg.Types.Context, pkgs::Vect… ╎ ╎ ╎ 46 …src/Operations.jl:2007; test ╎ ╎ ╎ 46 …src/Operations.jl:2063; test(ctx::Pkg.Types.Context, pkgs… ╎ ╎ ╎ ╎ 46 …rc/Operations.jl:1837; kwcall(::@NamedTuple{preferences:… ╎ ╎ ╎ ╎ 46 …rc/Operations.jl:1845; #sandbox#115 ╎ ╎ ╎ ╎ 46 @Base/file.jl:815; mktempdir ╎ ╎ ╎ ╎ 46 @Base/file.jl:815; mktempdir(fn::Function, parent::Str… ╎ ╎ ╎ ╎ 46 @Base/file.jl:819; mktempdir(fn::Pkg.Operations.var"#… ╎ ╎ ╎ ╎ ╎ 46 …/Operations.jl:1898; (::Pkg.Operations.var"#116#121… ╎ ╎ ╎ ╎ ╎ 46 …/Operations.jl:1789; with_temp_env(fn::Pkg.Operati… ╎ ╎ ╎ ╎ ╎ 46 …Operations.jl:1931; (::Pkg.Operations.var"#118#12… ╎ ╎ ╎ ╎ ╎ 46 @Base/env.jl:265; withenv(::Pkg.Operations.var"#1… ╎ ╎ ╎ ╎ ╎ 46 …Operations.jl:2082; (::Pkg.Operations.var"#131#… ╎ ╎ ╎ ╎ ╎ ╎ 46 …perations.jl:2142; subprocess_handler(cmd::Cmd… ╎ ╎ ╎ ╎ ╎ ╎ 46 …e/process.jl:687; wait(x::Base.Process) ╎ ╎ ╎ ╎ ╎ ╎ 46 …e/process.jl:694; wait(x::Base.Process, sync… ╎ ╎ ╎ ╎ ╎ ╎ 46 …ondition.jl:125; wait ╎ ╎ ╎ ╎ ╎ ╎ 46 …ondition.jl:130; wait(c::Base.GenericCondi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 46 …ase/task.jl:1021; wait() 45╎ ╎ ╎ ╎ ╎ ╎ ╎ 46 …ase/task.jl:1012; poptask(W::Base.Intrus… ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 0 nnz(A) = 6 cones (total) = 1 : Nonnegative = 1, numel = 4 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 -6.0000e+00 -1.3000e+01 1.17e+00 0.00e+00 2.50e-01 1.00e+00 3.28e+00 ------ 1 -6.8794e+00 -8.8691e+00 2.89e-01 1.02e-16 8.74e-02 4.31e-01 9.23e-01 7.51e-01 2 -9.9612e+00 -1.0221e+01 2.61e-02 6.13e-17 1.27e-02 2.08e-01 1.43e-01 9.62e-01 3 -9.9994e+00 -1.0002e+01 2.65e-04 2.32e-17 1.32e-04 2.18e-03 1.48e-03 9.90e-01 4 -1.0000e+01 -1.0000e+01 2.65e-06 6.13e-17 1.32e-06 2.18e-05 1.48e-05 9.90e-01 5 -1.0000e+01 -1.0000e+01 2.65e-08 5.53e-15 1.32e-08 2.18e-07 1.48e-07 9.90e-01 6 -1.0000e+01 -1.0000e+01 2.65e-10 1.41e-16 1.32e-10 2.18e-09 1.48e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 897μs ------------------------------------------------------------- Clarabel.jl v0.10.0 - Clever Acronym (c) Paul Goulart University of Oxford, 2022 ------------------------------------------------------------- problem: variables = 2 constraints = 4 nnz(P) = 0 nnz(A) = 6 cones (total) = 1 : Nonnegative = 1, numel = 4 settings: linear algebra: direct / qdldl, precision: Float64 max iter = 200, time limit = Inf, max step = 0.990 tol_feas = 1.0e-08, tol_gap_abs = 1.0e-08, tol_gap_rel = 1.0e-08, static reg : on, ϵ1 = 1.0e-08, ϵ2 = 4.9e-32 dynamic reg: on, ϵ = 1.0e-13, δ = 2.0e-07 iter refine: on, reltol = 1.0e-13, abstol = 1.0e-12, max iter = 10, stop ratio = 5.0 equilibrate: on, min_scale = 1.0e-04, max_scale = 1.0e+04 max iter = 10 iter pcost dcost gap pres dres k/t μ step --------------------------------------------------------------------------------------------- 0 6.0000e+00 -1.0000e+00 7.00e+00 0.00e+00 2.38e-01 1.00e+00 3.28e+00 ------ 1 5.3299e+00 4.6546e+00 1.45e-01 0.00e+00 3.22e-02 7.41e-02 3.26e-01 9.03e-01 2 5.0038e+00 4.9965e+00 1.46e-03 9.69e-17 3.84e-04 1.32e-03 3.85e-03 9.89e-01 3 5.0000e+00 5.0000e+00 1.45e-05 0.00e+00 3.84e-06 1.31e-05 3.85e-05 9.90e-01 4 5.0000e+00 5.0000e+00 1.45e-07 1.33e-14 3.84e-08 1.31e-07 3.85e-07 9.90e-01 5 5.0000e+00 5.0000e+00 1.45e-09 3.38e-16 3.84e-10 1.31e-09 3.85e-09 9.90e-01 --------------------------------------------------------------------------------------------- Terminated with status = solved solve time = 749μs [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:522 poptask at ./task.jl:1012 wait at ./task.jl:1021 #wait#731 at ./condition.jl:130 wait at ./condition.jl:125 [inlined] _trywait at ./asyncevent.jl:145 profile_printing_listener at ./Base.jl:577 #1190 at ./Base.jl:617 jfptr_YY.1190_76096.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] start_task at /source/src/task.c:1202 unknown function (ip: (nil)) Allocations: 19668528 (Pool: 19667819; Big: 709); GC: 17 val already in a list atexit hook threw an error: ErrorException("schedule: Task not runnable") error at ./error.jl:35 #schedule#761 at ./task.jl:884 schedule at ./task.jl:876 [inlined] uv_writecb_task at ./stream.jl:1200 jfptr_uv_writecb_task_67080.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jlcapi_uv_writecb_task_67543.1 at /opt/julia/lib/julia/sys.so (unknown line) uv__write_callbacks at /workspace/srcdir/libuv/src/unix/stream.c:926 uv__stream_io at /workspace/srcdir/libuv/src/unix/stream.c:1227 uv__run_pending at /workspace/srcdir/libuv/src/unix/core.c:824 uv_run at /workspace/srcdir/libuv/src/unix/core.c:420 ijl_task_get_next at /source/src/scheduler.c:522 poptask at ./task.jl:1012 wait at ./task.jl:1021 uv_write at ./stream.jl:1081 unsafe_write at ./stream.jl:1154 write at ./strings/io.jl:248 [inlined] print at ./strings/io.jl:250 jfptr_print_48429.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 showerror at ./errorshow.jl:152 unknown function (ip: 0x7883d0d16be6) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 [16] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/Clarabel/nKBgD/test/Interfaces/MOI_wrapper_tests.jl:107 jl_gc_pool_alloc_inner at /source/src/gc.c:1329 jl_gc_pool_alloc_noinline at /source/src/gc.c:1386 [inlined] jl_gc_alloc_ at /source/src/julia_internal.h:523 [inlined] jl_gc_alloc at /source/src/gc.c:3946 _new_genericmemory_ at /source/src/genericmemory.c:56 _atexit at ./initdefs.jl:462 new_array at /source/src/array.c:91 [inlined] ijl_alloc_array_nd at /source/src/array.c:173 jl_decode_value_array at /source/src/ircode.c:554 jl_decode_value at /source/src/ircode.c:709 ijl_uncompress_ir at /source/src/ircode.c:954 jfptr__atexit_69596.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2948 [inlined] ijl_apply_generic at /source/src/gf.c:3125 jl_apply at /source/src/julia.h:2157 [inlined] ijl_atexit_hook at /source/src/init.c:271 jl_exit_thread0_cb at /source/src/signals-unix.c:517 _uncompressed_ir at ./reflection.jl:1332 [inlined] retrieve_ir_for_inlining at ./compiler/ssair/inlining.jl:984 #resolve_todo#516 at ./compiler/ssair/inlining.jl:904 resolve_todo at ./compiler/ssair/inlining.jl:871 [inlined] #analyze_method!#517 at ./compiler/ssair/inlining.jl:980 analyze_method! at ./compiler/ssair/inlining.jl:947 [inlined] #handle_match!#521 at ./compiler/ssair/inlining.jl:1439 handle_match! at ./compiler/ssair/inlining.jl:1428 [inlined] #handle_any_const_result!#518 at ./compiler/ssair/inlining.jl:1327 handle_any_const_result! at ./compiler/ssair/inlining.jl:1315 [inlined] compute_inlining_cases at ./compiler/ssair/inlining.jl:1391 PkgEval terminated after 2726.96s: test duration exceeded the time limit