Package evaluation to test NearOptimalAlternatives on Julia 1.14.0-DEV.1688 (ee54f91d68*) started at 2026-02-10T05:41:32.390 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 11.8s ################################################################################ # Installation # Installing NearOptimalAlternatives... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [a88418a5] + NearOptimalAlternatives v0.1.1 Updating `~/.julia/environments/v1.14/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.3 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [861a8166] + Combinatorics v1.1.0 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [864edb3b] + DataStructures v0.19.3 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [b4f34e82] + Distances v0.10.12 [ffbed154] + DocStringExtensions v0.9.5 [f6369f11] + ForwardDiff v1.3.2 [b6b21f68] + Ipopt v1.14.0 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 ⌅ [358108f5] + JMcDM v0.7.24 [682c06a0] + JSON v1.4.0 [4076af6c] + JuMP v1.29.4 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.49.0 [bcdb8e00] + Metaheuristics v3.4.2 [d8a4904e] + MutableArithmetics v1.6.7 [77ba4419] + NaNMath v1.1.3 [a88418a5] + NearOptimalAlternatives v0.1.1 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [eb7571c6] + SearchSpaces v0.2.0 [66db9d55] + SnoopPrecompile v1.0.3 [276daf66] + SpecialFunctions v2.6.1 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [ec057cc2] + StructUtils v2.6.2 [3bb67fe8] + TranscodingStreams v0.11.3 [ae81ac8f] + ASL_jll v0.1.3+0 [6e34b625] + Bzip2_jll v1.0.9+0 [e33a78d0] + Hwloc_jll v2.12.2+0 [9cc047cb] + Ipopt_jll v300.1400.1901+0 [94ce4f54] + Libiconv_jll v1.18.0+0 [d00139f3] + METIS_jll v5.1.3+0 [d7ed1dd3] + MUMPS_seq_jll v500.800.200+0 [656ef2d0] + OpenBLAS32_jll v0.3.30+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [319450e9] + SPRAL_jll v2025.9.18+0 ⌅ [02c8fc9c] + XML2_jll v2.13.9+0 [a65dc6b1] + Xorg_libpciaccess_jll v0.18.1+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [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 v1.3.0+1 [deac9b47] + LibCURL_jll v8.18.0+0 [e37daf67] + LibGit2_jll v1.9.2+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.30+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.68.0+1 [3f19e933] + p7zip_jll v17.7.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 5.03s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 22846.0 ms ✓ NearOptimalAlternatives 1 dependency successfully precompiled in 24 seconds. 88 already precompiled. Precompilation completed after 43.74s ################################################################################ # Testing # Testing NearOptimalAlternatives Status `/tmp/jl_UA9QQ1/Project.toml` [864edb3b] DataStructures v0.19.3 [b4f34e82] Distances v0.10.12 [b6b21f68] Ipopt v1.14.0 [4076af6c] JuMP v1.29.4 [b8f27783] MathOptInterface v1.49.0 [bcdb8e00] Metaheuristics v3.4.2 [a88418a5] NearOptimalAlternatives v0.1.1 [10745b16] Statistics v1.11.1 [8dfed614] Test v1.11.0 Status `/tmp/jl_UA9QQ1/Manifest.toml` [6e4b80f9] BenchmarkTools v1.6.3 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [861a8166] Combinatorics v1.1.0 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [864edb3b] DataStructures v0.19.3 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [b4f34e82] Distances v0.10.12 [ffbed154] DocStringExtensions v0.9.5 [f6369f11] ForwardDiff v1.3.2 [b6b21f68] Ipopt v1.14.0 [92d709cd] IrrationalConstants v0.2.6 [692b3bcd] JLLWrappers v1.7.1 ⌅ [358108f5] JMcDM v0.7.24 [682c06a0] JSON v1.4.0 [4076af6c] JuMP v1.29.4 [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 [b8f27783] MathOptInterface v1.49.0 [bcdb8e00] Metaheuristics v3.4.2 [d8a4904e] MutableArithmetics v1.6.7 [77ba4419] NaNMath v1.1.3 [a88418a5] NearOptimalAlternatives v0.1.1 [bac558e1] OrderedCollections v1.8.1 [69de0a69] Parsers v2.8.3 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.1 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [eb7571c6] SearchSpaces v0.2.0 [66db9d55] SnoopPrecompile v1.0.3 [276daf66] SpecialFunctions v2.6.1 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [ec057cc2] StructUtils v2.6.2 [3bb67fe8] TranscodingStreams v0.11.3 [ae81ac8f] ASL_jll v0.1.3+0 [6e34b625] Bzip2_jll v1.0.9+0 [e33a78d0] Hwloc_jll v2.12.2+0 [9cc047cb] Ipopt_jll v300.1400.1901+0 [94ce4f54] Libiconv_jll v1.18.0+0 [d00139f3] METIS_jll v5.1.3+0 [d7ed1dd3] MUMPS_seq_jll v500.800.200+0 [656ef2d0] OpenBLAS32_jll v0.3.30+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [319450e9] SPRAL_jll v2025.9.18+0 ⌅ [02c8fc9c] XML2_jll v2.13.9+0 [a65dc6b1] Xorg_libpciaccess_jll v0.18.1+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [9abbd945] Profile v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [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 v1.3.0+1 [deac9b47] LibCURL_jll v8.18.0+0 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.30+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 [3f19e933] p7zip_jll v17.7.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 1.506 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.0200000e+00 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 2.0394000e+00 0.00e+00 1.11e-16 -1.7 9.70e-03 - 1.00e+00 1.00e+00f 1 2 2.0014560e+00 0.00e+00 5.20e-17 -3.8 1.90e-02 - 9.86e-01 1.00e+00f 1 3 2.0000037e+00 0.00e+00 9.98e-17 -5.7 7.26e-04 - 1.00e+00 1.00e+00f 1 4 2.0000000e+00 0.00e+00 6.34e-17 -8.6 1.84e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 4 (scaled) (unscaled) Objective...............: 1.9999999850185959e+00 1.9999999850185959e+00 Dual infeasibility......: 6.3422015442139365e-17 6.3422015442139365e-17 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907020586323370e-09 7.4907020586323370e-09 Complementarity.........: 2.5092979978947970e-09 2.5092979978947970e-09 Overall NLP error.......: 2.5092979978947970e-09 2.5092979978947970e-09 Number of objective function evaluations = 5 Number of objective gradient evaluations = 5 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.0200000e+00 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 2.0394000e+00 0.00e+00 1.11e-16 -1.7 9.70e-03 - 1.00e+00 1.00e+00f 1 2 2.0014560e+00 0.00e+00 5.20e-17 -3.8 1.90e-02 - 9.86e-01 1.00e+00f 1 3 2.0000037e+00 0.00e+00 9.98e-17 -5.7 7.26e-04 - 1.00e+00 1.00e+00f 1 4 2.0000000e+00 0.00e+00 6.34e-17 -8.6 1.84e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 4 (scaled) (unscaled) Objective...............: 1.9999999850185959e+00 1.9999999850185959e+00 Dual infeasibility......: 6.3422015442139365e-17 6.3422015442139365e-17 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907020586323370e-09 7.4907020586323370e-09 Complementarity.........: 2.5092979978947970e-09 2.5092979978947970e-09 Overall NLP error.......: 2.5092979978947970e-09 2.5092979978947970e-09 Number of objective function evaluations = 5 Number of objective gradient evaluations = 5 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 3 variables with only lower bounds: 0 variables with lower and upper bounds: 3 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.9800000e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 9.7074542e-01 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 9.9387386e-01 0.00e+00 1.73e-17 -2.5 6.39e-02 - 1.00e+00 1.00e+00f 1 4 9.9968498e-01 0.00e+00 8.07e-17 -3.8 2.06e-02 - 1.00e+00 1.00e+00f 1 5 9.9999629e-01 0.00e+00 4.12e-18 -5.7 4.50e-03 - 1.00e+00 1.00e+00f 1 6 1.0000000e+00 0.00e+00 1.40e-18 -8.6 4.93e-04 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -1.0000000149814050e+00 1.0000000149814050e+00 Dual infeasibility......: 1.4026865606531214e-18 1.4026865606531214e-18 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 4.3215245418535212e-09 4.3215245418535212e-09 Overall NLP error.......: 4.3215245418535212e-09 4.3215245418535212e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 3 variables with only lower bounds: 0 variables with lower and upper bounds: 3 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.9800000e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 9.7074542e-01 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 9.9387386e-01 0.00e+00 1.73e-17 -2.5 6.39e-02 - 1.00e+00 1.00e+00f 1 4 9.9968498e-01 0.00e+00 8.07e-17 -3.8 2.06e-02 - 1.00e+00 1.00e+00f 1 5 9.9999629e-01 0.00e+00 4.12e-18 -5.7 4.50e-03 - 1.00e+00 1.00e+00f 1 6 1.0000000e+00 0.00e+00 1.40e-18 -8.6 4.93e-04 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -1.0000000149814050e+00 1.0000000149814050e+00 Dual infeasibility......: 1.4026865606531214e-18 1.4026865606531214e-18 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 4.3215245418535212e-09 4.3215245418535212e-09 Overall NLP error.......: 4.3215245418535212e-09 4.3215245418535212e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.9999970e-02 1.78e+00 1.67e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.2416090e-02 1.75e+00 1.50e+00 -1.0 6.96e-01 - 2.13e-02 2.56e-02h 1 2 2.3104781e+00 4.80e-01 2.74e+00 -1.0 1.37e+00 - 3.17e-01 7.05e-01f 1 3 2.8940784e+00 0.00e+00 2.33e+00 -1.0 7.77e-01 - 3.20e-01 8.54e-01f 1 4 2.8492273e+00 0.00e+00 1.00e-06 -1.0 1.44e-01 - 1.00e+00 1.00e+00f 1 5 2.8982124e+00 0.00e+00 4.52e-01 -2.5 3.66e-02 - 6.89e-01 1.00e+00f 1 6 2.9936279e+00 0.00e+00 2.83e-08 -2.5 8.28e-02 - 1.00e+00 1.00e+00f 1 7 2.9995887e+00 0.00e+00 1.50e-09 -3.8 4.63e-03 - 1.00e+00 1.00e+00f 1 8 2.9999962e+00 0.00e+00 1.84e-11 -5.7 3.16e-04 - 1.00e+00 1.00e+00f 1 9 3.0000000e+00 0.00e+00 2.51e-14 -8.6 2.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: -3.0000000249576080e+00 3.0000000249576080e+00 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 8.7420310990182770e-09 8.7420310990182770e-09 Complementarity.........: 2.5264541946492058e-09 2.5264541946492058e-09 Overall NLP error.......: 2.5264541946492058e-09 2.5264541946492058e-09 Number of objective function evaluations = 10 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 10 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.839 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 1.78e+00 6.67e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 0.0000000e+00 1.75e+00 5.06e-01 -1.0 7.10e-01 - 2.18e-02 2.51e-02h 1 2 0.0000000e+00 0.00e+00 2.85e+00 -1.0 9.02e-01 - 4.05e-01 1.00e+00f 1 3 0.0000000e+00 0.00e+00 3.55e+00 -1.0 8.84e-02 - 1.00e+00 2.50e-01f 3 4 0.0000000e+00 0.00e+00 1.00e-06 -1.0 2.79e-03 - 1.00e+00 1.00e+00f 1 5 0.0000000e+00 0.00e+00 2.83e-08 -2.5 2.41e-05 - 1.00e+00 1.00e+00f 1 6 0.0000000e+00 0.00e+00 1.50e-09 -3.8 4.41e-05 - 1.00e+00 1.00e+00f 1 7 0.0000000e+00 0.00e+00 1.84e-11 -5.7 9.62e-06 - 1.00e+00 1.00e+00f 1 8 0.0000000e+00 0.00e+00 2.51e-14 -8.6 1.05e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 8 (scaled) (unscaled) Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5336440617866872e-09 2.5336440617866872e-09 Overall NLP error.......: 2.5336440617866872e-09 2.5336440617866872e-09 Number of objective function evaluations = 15 Number of objective gradient evaluations = 9 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 15 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. ┌ Info: Solution #1/1 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 0.00000e+00 │ │ └ dual_objective_value : -7.16903e-09 │ └ Work counters │ ├ solve_time (sec) : 5.40805e-03 └ └ barrier_iterations : 8 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 1 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 7.90e-01 5.00e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 0.0000000e+00 7.79e-01 5.44e-01 -1.7 5.02e-01 - 3.34e-02 3.55e-02h 1 2 0.0000000e+00 0.00e+00 2.00e-07 -1.7 7.90e-01 - 1.00e+00 1.00e+00f 1 3 0.0000000e+00 0.00e+00 9.37e-03 -1.7 6.80e-02 - 9.51e-01 1.00e+00f 1 4 0.0000000e+00 0.00e+00 2.83e-08 -2.5 1.85e-03 - 1.00e+00 1.00e+00f 1 5 0.0000000e+00 0.00e+00 1.50e-09 -3.8 1.36e-03 - 1.00e+00 1.00e+00f 1 6 0.0000000e+00 0.00e+00 1.84e-11 -5.7 2.92e-04 - 1.00e+00 1.00e+00h 1 7 0.0000000e+00 0.00e+00 2.51e-14 -8.6 3.20e-05 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 7 (scaled) (unscaled) Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 3.1289109656385782e-09 3.1289109656385782e-09 Overall NLP error.......: 3.1289109656385782e-09 3.1289109656385782e-09 Number of objective function evaluations = 8 Number of objective gradient evaluations = 8 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 8 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. ┌ Info: Solution #1/1 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 0.00000e+00 │ │ └ dual_objective_value : -4.75030e-09 │ └ Work counters │ ├ solve_time (sec) : 4.29201e-03 └ └ barrier_iterations : 7 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 1.78e+00 6.67e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 0.0000000e+00 1.75e+00 5.06e-01 -1.0 7.10e-01 - 2.18e-02 2.51e-02h 1 2 0.0000000e+00 0.00e+00 2.85e+00 -1.0 9.02e-01 - 4.05e-01 1.00e+00f 1 3 0.0000000e+00 0.00e+00 3.55e+00 -1.0 8.84e-02 - 1.00e+00 2.50e-01f 3 4 0.0000000e+00 0.00e+00 1.00e-06 -1.0 2.79e-03 - 1.00e+00 1.00e+00f 1 5 0.0000000e+00 0.00e+00 2.83e-08 -2.5 2.41e-05 - 1.00e+00 1.00e+00f 1 6 0.0000000e+00 0.00e+00 1.50e-09 -3.8 4.41e-05 - 1.00e+00 1.00e+00f 1 7 0.0000000e+00 0.00e+00 1.84e-11 -5.7 9.62e-06 - 1.00e+00 1.00e+00f 1 8 0.0000000e+00 0.00e+00 2.51e-14 -8.6 1.05e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 8 (scaled) (unscaled) Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5336440617866872e-09 2.5336440617866872e-09 Overall NLP error.......: 2.5336440617866872e-09 2.5336440617866872e-09 Number of objective function evaluations = 15 Number of objective gradient evaluations = 9 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 15 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. ┌ Info: Solution #1/2 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 0.00000e+00 │ │ └ dual_objective_value : -7.16903e-09 │ └ Work counters │ ├ solve_time (sec) : 4.58789e-03 └ └ barrier_iterations : 8 [ Info: Reconfiguring model for generating alternatives. [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 -9.9999900e-03 1.78e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 -2.3914102e-02 1.75e+00 1.15e+00 -1.0 7.06e-01 - 2.15e-02 2.52e-02h 1 2 -9.9023915e-01 4.81e-01 1.88e+00 -1.0 1.37e+00 - 3.80e-01 7.05e-01f 1 3 -9.4604249e-01 7.83e-02 1.61e+00 -1.0 5.27e-01 - 4.15e-01 8.48e-01h 1 4 -9.4959499e-01 0.00e+00 1.00e-06 -1.0 1.62e-01 - 1.00e+00 1.00e+00f 1 5 -9.7083170e-01 0.00e+00 1.02e-01 -2.5 2.12e-02 - 8.98e-01 1.00e+00f 1 6 -9.9771175e-01 0.00e+00 2.83e-08 -2.5 2.89e-02 - 1.00e+00 1.00e+00f 1 7 -9.9978805e-01 0.00e+00 1.50e-09 -3.8 2.08e-03 - 1.00e+00 1.00e+00f 1 8 -9.9999790e-01 0.00e+00 1.84e-11 -5.7 2.10e-04 - 1.00e+00 1.00e+00f 1 9 -1.0000000e+00 0.00e+00 2.51e-14 -8.6 1.02e-05 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: -1.0000000074561184e+00 -1.0000000074561184e+00 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4561183893706584e-09 7.4561183893706584e-09 Complementarity.........: 2.6530520318871363e-09 2.6530520318871363e-09 Overall NLP error.......: 2.6530520318871363e-09 2.6530520318871363e-09 Number of objective function evaluations = 10 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 10 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. ┌ Info: Solution #2/2 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : -1.00000e+00 │ │ └ dual_objective_value : -1.00000e+00 │ └ Work counters │ ├ solve_time (sec) : 4.42815e-03 └ └ barrier_iterations : 9 Test Summary: | Pass Total Time Directionally Weighted Variables | 14 14 1m00.3s This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.0200000e+00 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 2.0394000e+00 0.00e+00 1.11e-16 -1.7 9.70e-03 - 1.00e+00 1.00e+00f 1 2 2.0014560e+00 0.00e+00 5.20e-17 -3.8 1.90e-02 - 9.86e-01 1.00e+00f 1 3 2.0000037e+00 0.00e+00 9.98e-17 -5.7 7.26e-04 - 1.00e+00 1.00e+00f 1 4 2.0000000e+00 0.00e+00 6.34e-17 -8.6 1.84e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 4 (scaled) (unscaled) Objective...............: 1.9999999850185959e+00 1.9999999850185959e+00 Dual infeasibility......: 6.3422015442139365e-17 6.3422015442139365e-17 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907020586323370e-09 7.4907020586323370e-09 Complementarity.........: 2.5092979978947970e-09 2.5092979978947970e-09 Overall NLP error.......: 2.5092979978947970e-09 2.5092979978947970e-09 Number of objective function evaluations = 5 Number of objective gradient evaluations = 5 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 1 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 9.9999900e-03 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 3.9499990e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 9.9039501e-01 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 9.9698882e-01 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 9.9984247e-01 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 9.9999814e-01 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 1.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -1.0000000074907025e+00 1.0000000074907025e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.9999970e-02 1.78e+00 1.67e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.2416090e-02 1.75e+00 1.50e+00 -1.0 6.96e-01 - 2.13e-02 2.56e-02h 1 2 2.3104781e+00 4.80e-01 2.74e+00 -1.0 1.37e+00 - 3.17e-01 7.05e-01f 1 3 2.8940784e+00 0.00e+00 2.33e+00 -1.0 7.77e-01 - 3.20e-01 8.54e-01f 1 4 2.8492273e+00 0.00e+00 1.00e-06 -1.0 1.44e-01 - 1.00e+00 1.00e+00f 1 5 2.8982124e+00 0.00e+00 4.52e-01 -2.5 3.66e-02 - 6.89e-01 1.00e+00f 1 6 2.9936279e+00 0.00e+00 2.83e-08 -2.5 8.28e-02 - 1.00e+00 1.00e+00f 1 7 2.9995887e+00 0.00e+00 1.50e-09 -3.8 4.63e-03 - 1.00e+00 1.00e+00f 1 8 2.9999962e+00 0.00e+00 1.84e-11 -5.7 3.16e-04 - 1.00e+00 1.00e+00f 1 9 3.0000000e+00 0.00e+00 2.51e-14 -8.6 2.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: -3.0000000249576080e+00 3.0000000249576080e+00 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 8.7420310990182770e-09 8.7420310990182770e-09 Complementarity.........: 2.5264541946492058e-09 2.5264541946492058e-09 Overall NLP error.......: 2.5264541946492058e-09 2.5264541946492058e-09 Number of objective function evaluations = 10 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 10 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 1.78e+00 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 4.6686366e-02 1.75e+00 1.21e-01 -1.0 7.20e-01 - 2.20e-02 2.48e-02h 1 2 1.8508000e+00 0.00e+00 1.90e+00 -1.0 9.02e-01 - 5.08e-01 1.00e+00h 1 3 1.8427575e+00 0.00e+00 2.89e+00 -1.0 3.22e-02 - 1.00e+00 2.50e-01f 3 4 1.8460323e+00 0.00e+00 1.00e-06 -1.0 3.27e-03 - 1.00e+00 1.00e+00f 1 5 1.8286656e+00 0.00e+00 1.05e-01 -2.5 1.74e-02 - 9.20e-01 1.00e+00f 1 6 1.8017555e+00 0.00e+00 2.83e-08 -2.5 2.69e-02 - 1.00e+00 1.00e+00f 1 7 1.8001940e+00 0.00e+00 1.50e-09 -3.8 1.56e-03 - 1.00e+00 1.00e+00f 1 8 1.8000020e+00 0.00e+00 1.84e-11 -5.7 1.92e-04 - 1.00e+00 1.00e+00f 1 9 1.8000000e+00 0.00e+00 2.51e-14 -8.6 2.05e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: 1.7999999980202417e+00 1.7999999980202417e+00 Dual infeasibility......: 2.5091040356528538e-14 2.5091040356528538e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5369775730103536e-09 2.5369775730103536e-09 Overall NLP error.......: 2.5369775730103536e-09 2.5369775730103536e-09 Number of objective function evaluations = 12 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 12 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. ┌ Info: Solution #1/1 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 1.80000e+00 │ │ └ dual_objective_value : 1.80000e+00 │ └ Work counters │ ├ solve_time (sec) : 4.39501e-03 └ └ barrier_iterations : 9 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 1 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.0100000e+00 7.90e-01 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.0205272e+00 7.79e-01 2.70e-02 -1.7 5.08e-01 - 3.41e-02 3.51e-02h 1 2 1.8102368e+00 0.00e+00 2.00e-07 -1.7 7.90e-01 - 1.00e+00 1.00e+00h 1 3 1.8172766e+00 0.00e+00 2.00e-07 -1.7 7.04e-03 - 1.00e+00 1.00e+00f 1 4 1.8020978e+00 0.00e+00 9.08e-03 -3.8 1.52e-02 - 9.28e-01 1.00e+00f 1 5 1.8001455e+00 0.00e+00 1.50e-09 -3.8 1.95e-03 - 1.00e+00 1.00e+00f 1 6 1.8000019e+00 0.00e+00 1.84e-11 -5.7 1.44e-04 - 1.00e+00 1.00e+00f 1 7 1.8000000e+00 0.00e+00 2.49e-14 -8.6 1.92e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 7 (scaled) (unscaled) Objective...............: 1.7999999980013515e+00 1.7999999980013515e+00 Dual infeasibility......: 2.4868995751603507e-14 2.4868995751603507e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5180870956284467e-09 2.5180870956284467e-09 Overall NLP error.......: 2.5180870956284467e-09 2.5180870956284467e-09 Number of objective function evaluations = 8 Number of objective gradient evaluations = 8 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 8 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. ┌ Info: Solution #1/1 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 1.80000e+00 │ │ └ dual_objective_value : 1.80000e+00 │ └ Work counters │ ├ solve_time (sec) : 3.74103e-03 └ └ barrier_iterations : 7 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 1.78e+00 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 4.6686366e-02 1.75e+00 1.21e-01 -1.0 7.20e-01 - 2.20e-02 2.48e-02h 1 2 1.8508000e+00 0.00e+00 1.90e+00 -1.0 9.02e-01 - 5.08e-01 1.00e+00h 1 3 1.8427575e+00 0.00e+00 2.89e+00 -1.0 3.22e-02 - 1.00e+00 2.50e-01f 3 4 1.8460323e+00 0.00e+00 1.00e-06 -1.0 3.27e-03 - 1.00e+00 1.00e+00f 1 5 1.8286656e+00 0.00e+00 1.05e-01 -2.5 1.74e-02 - 9.20e-01 1.00e+00f 1 6 1.8017555e+00 0.00e+00 2.83e-08 -2.5 2.69e-02 - 1.00e+00 1.00e+00f 1 7 1.8001940e+00 0.00e+00 1.50e-09 -3.8 1.56e-03 - 1.00e+00 1.00e+00f 1 8 1.8000020e+00 0.00e+00 1.84e-11 -5.7 1.92e-04 - 1.00e+00 1.00e+00f 1 9 1.8000000e+00 0.00e+00 2.51e-14 -8.6 2.05e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: 1.7999999980202417e+00 1.7999999980202417e+00 Dual infeasibility......: 2.5091040356528538e-14 2.5091040356528538e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5369775730103536e-09 2.5369775730103536e-09 Overall NLP error.......: 2.5369775730103536e-09 2.5369775730103536e-09 Number of objective function evaluations = 12 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 12 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. ┌ Info: Solution #1/2 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 1.80000e+00 │ │ └ dual_objective_value : 1.80000e+00 │ └ Work counters │ ├ solve_time (sec) : 4.56214e-03 └ └ barrier_iterations : 9 [ Info: Reconfiguring model for generating alternatives. [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 1.78e+00 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 4.6686366e-02 1.75e+00 1.21e-01 -1.0 7.20e-01 - 2.20e-02 2.48e-02h 1 2 1.8508000e+00 0.00e+00 1.90e+00 -1.0 9.02e-01 - 5.08e-01 1.00e+00h 1 3 1.8427575e+00 0.00e+00 2.89e+00 -1.0 3.22e-02 - 1.00e+00 2.50e-01f 3 4 1.8460323e+00 0.00e+00 1.00e-06 -1.0 3.27e-03 - 1.00e+00 1.00e+00f 1 5 1.8286656e+00 0.00e+00 1.05e-01 -2.5 1.74e-02 - 9.20e-01 1.00e+00f 1 6 1.8017555e+00 0.00e+00 2.83e-08 -2.5 2.69e-02 - 1.00e+00 1.00e+00f 1 7 1.8001940e+00 0.00e+00 1.50e-09 -3.8 1.56e-03 - 1.00e+00 1.00e+00f 1 8 1.8000020e+00 0.00e+00 1.84e-11 -5.7 1.92e-04 - 1.00e+00 1.00e+00f 1 9 1.8000000e+00 0.00e+00 2.51e-14 -8.6 2.05e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: 1.7999999980202417e+00 1.7999999980202417e+00 Dual infeasibility......: 2.5091040356528538e-14 2.5091040356528538e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5369775730103536e-09 2.5369775730103536e-09 Overall NLP error.......: 2.5369775730103536e-09 2.5369775730103536e-09 Number of objective function evaluations = 12 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 12 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. ┌ Info: Solution #2/2 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 1.80000e+00 │ │ └ dual_objective_value : 1.80000e+00 │ └ Work counters │ ├ solve_time (sec) : 4.56905e-03 └ └ barrier_iterations : 9 Test Summary: | Pass Total Time Hsj | 14 14 1.6s This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.0200000e+00 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 2.0394000e+00 0.00e+00 1.11e-16 -1.7 9.70e-03 - 1.00e+00 1.00e+00f 1 2 2.0014560e+00 0.00e+00 5.20e-17 -3.8 1.90e-02 - 9.86e-01 1.00e+00f 1 3 2.0000037e+00 0.00e+00 9.98e-17 -5.7 7.26e-04 - 1.00e+00 1.00e+00f 1 4 2.0000000e+00 0.00e+00 6.34e-17 -8.6 1.84e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 4 (scaled) (unscaled) Objective...............: 1.9999999850185959e+00 1.9999999850185959e+00 Dual infeasibility......: 6.3422015442139365e-17 6.3422015442139365e-17 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907020586323370e-09 7.4907020586323370e-09 Complementarity.........: 2.5092979978947970e-09 2.5092979978947970e-09 Overall NLP error.......: 2.5092979978947970e-09 2.5092979978947970e-09 Number of objective function evaluations = 5 Number of objective gradient evaluations = 5 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.0200000e+00 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 2.0394000e+00 0.00e+00 1.11e-16 -1.7 9.70e-03 - 1.00e+00 1.00e+00f 1 2 2.0014560e+00 0.00e+00 5.20e-17 -3.8 1.90e-02 - 9.86e-01 1.00e+00f 1 3 2.0000037e+00 0.00e+00 9.98e-17 -5.7 7.26e-04 - 1.00e+00 1.00e+00f 1 4 2.0000000e+00 0.00e+00 6.34e-17 -8.6 1.84e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 4 (scaled) (unscaled) Objective...............: 1.9999999850185959e+00 1.9999999850185959e+00 Dual infeasibility......: 6.3422015442139365e-17 6.3422015442139365e-17 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907020586323370e-09 7.4907020586323370e-09 Complementarity.........: 2.5092979978947970e-09 2.5092979978947970e-09 Overall NLP error.......: 2.5092979978947970e-09 2.5092979978947970e-09 Number of objective function evaluations = 5 Number of objective gradient evaluations = 5 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.9999970e-02 1.78e+00 1.67e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.2416090e-02 1.75e+00 1.50e+00 -1.0 6.96e-01 - 2.13e-02 2.56e-02h 1 2 2.3104781e+00 4.80e-01 2.74e+00 -1.0 1.37e+00 - 3.17e-01 7.05e-01f 1 3 2.8940784e+00 0.00e+00 2.33e+00 -1.0 7.77e-01 - 3.20e-01 8.54e-01f 1 4 2.8492273e+00 0.00e+00 1.00e-06 -1.0 1.44e-01 - 1.00e+00 1.00e+00f 1 5 2.8982124e+00 0.00e+00 4.52e-01 -2.5 3.66e-02 - 6.89e-01 1.00e+00f 1 6 2.9936279e+00 0.00e+00 2.83e-08 -2.5 8.28e-02 - 1.00e+00 1.00e+00f 1 7 2.9995887e+00 0.00e+00 1.50e-09 -3.8 4.63e-03 - 1.00e+00 1.00e+00f 1 8 2.9999962e+00 0.00e+00 1.84e-11 -5.7 3.16e-04 - 1.00e+00 1.00e+00f 1 9 3.0000000e+00 0.00e+00 2.51e-14 -8.6 2.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: -3.0000000249576080e+00 3.0000000249576080e+00 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 8.7420310990182770e-09 8.7420310990182770e-09 Complementarity.........: 2.5264541946492058e-09 2.5264541946492058e-09 Overall NLP error.......: 2.5264541946492058e-09 2.5264541946492058e-09 Number of objective function evaluations = 10 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 10 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 2 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9602001e+00 1.78e+00 6.53e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.9076042e+00 1.75e+00 7.60e-01 -1.0 7.19e-01 - 2.20e-02 2.48e-02h 1 2 1.1123524e-02 0.00e+00 1.84e+00 -1.0 9.02e-01 0.0 5.22e-01 1.00e+00h 1 3 8.3143510e-03 0.00e+00 2.88e+00 -1.0 8.08e-02 - 9.99e-01 2.50e-01f 3 4 8.8450098e-03 0.00e+00 1.00e-06 -1.0 4.05e-03 - 1.00e+00 1.00e+00f 1 5 9.3791028e-03 0.00e+00 5.64e-03 -2.5 3.96e-03 - 9.96e-01 1.00e+00f 1 6 1.3310992e-02 0.00e+00 6.99e-02 -3.8 2.62e-02 0.4 1.00e+00 1.00e+00f 1 7 1.5735348e-02 0.00e+00 1.01e-01 -3.8 1.42e-02 0.9 1.00e+00 1.00e+00f 1 8 1.9999324e-02 0.00e+00 8.74e-02 -3.8 4.58e-02 0.4 1.00e+00 4.94e-01f 1 9 1.9515717e-02 0.00e+00 1.54e-02 -3.8 2.43e-03 0.8 1.00e+00 1.00e+00f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.9807319e-02 0.00e+00 3.10e-03 -3.8 1.47e-03 0.3 1.00e+00 1.00e+00f 1 11 1.9849611e-02 0.00e+00 1.19e-03 -3.8 2.12e-04 0.7 1.00e+00 1.00e+00f 1 12 1.9987271e-02 0.00e+00 1.03e-02 -5.7 6.90e-04 1.2 1.00e+00 1.00e+00f 1 13 1.9999048e-02 0.00e+00 2.94e-04 -5.7 5.89e-05 0.7 1.00e+00 1.00e+00f 1 14 1.9998158e-02 0.00e+00 5.93e-05 -5.7 4.45e-06 1.1 1.00e+00 1.00e+00f 1 15 1.9998159e-02 0.00e+00 3.37e-08 -5.7 7.59e-09 0.6 1.00e+00 1.00e+00f 1 16 2.0000000e-02 0.00e+00 1.09e-04 -8.6 9.20e-06 1.1 1.00e+00 1.00e+00f 1 17 2.0000001e-02 0.00e+00 3.11e-08 -8.6 7.87e-09 0.6 1.00e+00 1.00e+00h 1 18 2.0000001e-02 0.00e+00 6.77e-11 -8.6 6.43e-12 1.0 1.00e+00 1.00e+00h 1 Number of Iterations....: 18 (scaled) (unscaled) Objective...............: -2.0000001393725042e-02 2.0000001393725042e-02 Dual infeasibility......: 6.7675171022685277e-11 6.7675171022685277e-11 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059035596800618e-09 2.5059035596800618e-09 Overall NLP error.......: 2.5059035596800618e-09 2.5059035596800618e-09 Number of objective function evaluations = 22 Number of objective gradient evaluations = 19 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 22 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.008 EXIT: Optimal Solution Found. ┌ Info: Solution #1/1 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 2.00000e-02 │ │ └ dual_objective_value : 1.64000e+00 │ └ Work counters │ ├ solve_time (sec) : 9.64189e-03 └ └ barrier_iterations : 18 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 1 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 1 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 9.8010003e-01 7.90e-01 4.90e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 9.5963437e-01 7.80e-01 4.87e-01 -1.7 5.10e-01 - 3.44e-02 3.49e-02h 1 2 3.6013534e-02 0.00e+00 2.00e-07 -1.7 7.90e-01 - 1.00e+00 1.00e+00h 1 3 2.7318630e-02 0.00e+00 2.00e-07 -1.7 2.45e-02 - 1.00e+00 1.00e+00f 1 4 3.3574162e-02 0.00e+00 6.15e-03 -2.5 1.79e-02 - 9.71e-01 1.00e+00f 1 5 3.9998999e-02 0.00e+00 3.77e-03 -3.8 1.83e-02 - 1.00e+00 9.18e-01f 1 6 3.9851006e-02 0.00e+00 1.50e-09 -3.8 3.70e-04 - 1.00e+00 1.00e+00f 1 7 3.9998228e-02 0.00e+00 1.84e-11 -5.7 3.68e-04 - 1.00e+00 1.00e+00f 1 8 4.0000005e-02 0.00e+00 2.51e-14 -8.6 4.44e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 8 (scaled) (unscaled) Objective...............: -4.0000005308622355e-02 4.0000005308622355e-02 Dual infeasibility......: 2.5091040356528538e-14 2.5091040356528538e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5165162960334774e-09 2.5165162960334774e-09 Overall NLP error.......: 2.5165162960334774e-09 2.5165162960334774e-09 Number of objective function evaluations = 9 Number of objective gradient evaluations = 9 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 9 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. ┌ Info: Solution #1/1 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 4.00000e-02 │ │ └ dual_objective_value : 1.68000e+00 │ └ Work counters │ ├ solve_time (sec) : 4.26698e-03 └ └ barrier_iterations : 8 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 2 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9602001e+00 1.78e+00 6.53e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.9076042e+00 1.75e+00 7.60e-01 -1.0 7.19e-01 - 2.20e-02 2.48e-02h 1 2 1.1123524e-02 0.00e+00 1.84e+00 -1.0 9.02e-01 0.0 5.22e-01 1.00e+00h 1 3 8.3143510e-03 0.00e+00 2.88e+00 -1.0 8.08e-02 - 9.99e-01 2.50e-01f 3 4 8.8450098e-03 0.00e+00 1.00e-06 -1.0 4.05e-03 - 1.00e+00 1.00e+00f 1 5 9.3791028e-03 0.00e+00 5.64e-03 -2.5 3.96e-03 - 9.96e-01 1.00e+00f 1 6 1.3310992e-02 0.00e+00 6.99e-02 -3.8 2.62e-02 0.4 1.00e+00 1.00e+00f 1 7 1.5735348e-02 0.00e+00 1.01e-01 -3.8 1.42e-02 0.9 1.00e+00 1.00e+00f 1 8 1.9999324e-02 0.00e+00 8.74e-02 -3.8 4.58e-02 0.4 1.00e+00 4.94e-01f 1 9 1.9515717e-02 0.00e+00 1.54e-02 -3.8 2.43e-03 0.8 1.00e+00 1.00e+00f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.9807319e-02 0.00e+00 3.10e-03 -3.8 1.47e-03 0.3 1.00e+00 1.00e+00f 1 11 1.9849611e-02 0.00e+00 1.19e-03 -3.8 2.12e-04 0.7 1.00e+00 1.00e+00f 1 12 1.9987271e-02 0.00e+00 1.03e-02 -5.7 6.90e-04 1.2 1.00e+00 1.00e+00f 1 13 1.9999048e-02 0.00e+00 2.94e-04 -5.7 5.89e-05 0.7 1.00e+00 1.00e+00f 1 14 1.9998158e-02 0.00e+00 5.93e-05 -5.7 4.45e-06 1.1 1.00e+00 1.00e+00f 1 15 1.9998159e-02 0.00e+00 3.37e-08 -5.7 7.59e-09 0.6 1.00e+00 1.00e+00f 1 16 2.0000000e-02 0.00e+00 1.09e-04 -8.6 9.20e-06 1.1 1.00e+00 1.00e+00f 1 17 2.0000001e-02 0.00e+00 3.11e-08 -8.6 7.87e-09 0.6 1.00e+00 1.00e+00h 1 18 2.0000001e-02 0.00e+00 6.77e-11 -8.6 6.43e-12 1.0 1.00e+00 1.00e+00h 1 Number of Iterations....: 18 (scaled) (unscaled) Objective...............: -2.0000001393725042e-02 2.0000001393725042e-02 Dual infeasibility......: 6.7675171022685277e-11 6.7675171022685277e-11 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059035596800618e-09 2.5059035596800618e-09 Overall NLP error.......: 2.5059035596800618e-09 2.5059035596800618e-09 Number of objective function evaluations = 22 Number of objective gradient evaluations = 19 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 22 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.008 EXIT: Optimal Solution Found. ┌ Info: Solution #1/2 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 2.00000e-02 │ │ └ dual_objective_value : 1.64000e+00 │ └ Work counters │ ├ solve_time (sec) : 8.92210e-03 └ └ barrier_iterations : 18 [ Info: Reconfiguring model for generating alternatives. [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 2 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 3.5444001e+00 1.78e+00 1.84e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 3.4460906e+00 1.75e+00 1.90e+00 -1.0 7.26e-01 - 2.22e-02 2.46e-02h 1 2 1.3356618e-02 0.00e+00 8.98e+01 -1.0 8.98e-01 2.0 1.00e+00 1.00e+00h 1 3 1.3298052e-02 0.00e+00 1.00e-06 -1.0 5.08e-04 - 1.00e+00 1.00e+00f 1 4 1.3561587e-02 0.00e+00 2.83e-08 -2.5 2.25e-03 - 1.00e+00 1.00e+00f 1 5 1.3839106e-02 0.00e+00 7.60e-02 -3.8 2.28e-03 1.5 1.00e+00 1.00e+00f 1 6 1.4911939e-02 0.00e+00 9.03e-02 -3.8 8.12e-03 1.0 1.00e+00 1.00e+00f 1 7 1.5371443e-02 0.00e+00 9.50e-02 -3.8 3.20e-03 1.5 1.00e+00 1.00e+00f 1 8 1.7093114e-02 0.00e+00 1.08e-01 -3.8 1.09e-02 1.0 1.00e+00 1.00e+00f 1 9 1.7821423e-02 0.00e+00 1.11e-01 -3.8 4.22e-03 1.4 1.00e+00 1.00e+00f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.9999656e-02 0.00e+00 1.16e-01 -3.8 1.36e-02 0.9 1.00e+00 8.52e-01f 1 11 1.8909210e-02 0.00e+00 1.31e-01 -3.8 5.61e-03 1.4 1.00e+00 1.00e+00f 1 12 1.9305314e-02 0.00e+00 1.62e-02 -3.8 2.08e-03 0.9 1.00e+00 1.00e+00f 1 13 1.9687917e-02 0.00e+00 4.09e-02 -3.8 1.96e-03 1.3 1.00e+00 1.00e+00f 1 14 1.9900551e-02 0.00e+00 7.45e-03 -3.8 1.07e-03 0.8 1.00e+00 1.00e+00f 1 15 1.9850813e-02 0.00e+00 4.63e-03 -3.8 2.50e-04 1.3 1.00e+00 1.00e+00f 1 16 1.9850076e-02 0.00e+00 2.29e-05 -3.8 3.72e-06 0.8 1.00e+00 1.00e+00h 1 17 1.9985529e-02 0.00e+00 1.12e-02 -5.7 6.80e-04 1.2 1.00e+00 1.00e+00f 1 18 1.9999282e-02 0.00e+00 3.77e-04 -5.7 6.88e-05 0.7 1.00e+00 1.00e+00f 1 19 1.9998156e-02 0.00e+00 8.22e-05 -5.7 5.63e-06 1.2 1.00e+00 1.00e+00f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 20 1.9998159e-02 0.00e+00 6.50e-08 -5.7 1.34e-08 0.7 1.00e+00 1.00e+00f 1 21 2.0000000e-02 0.00e+00 1.20e-04 -8.6 9.20e-06 1.1 1.00e+00 1.00e+00f 1 22 2.0000001e-02 0.00e+00 5.10e-07 -8.6 1.18e-07 0.6 1.00e+00 1.00e+00h 1 23 2.0000001e-02 0.00e+00 7.53e-07 -8.6 6.52e-08 1.1 1.00e+00 1.00e+00h 1 24 2.0000001e-02 0.00e+00 8.65e-07 -8.6 2.81e-08 1.5 1.00e+00 1.00e+00f 1 25 2.0000001e-02 0.00e+00 1.42e-06 -8.6 1.38e-07 1.0 1.00e+00 1.00e+00h 1 26 2.0000001e-02 0.00e+00 1.66e-06 -8.6 6.07e-08 1.4 1.00e+00 1.00e+00f 1 27 2.0000001e-02 0.00e+00 2.96e-06 -8.6 3.24e-07 1.0 1.00e+00 1.00e+00h 1 28 2.0000001e-02 0.00e+00 3.54e-06 -8.6 1.45e-07 1.4 1.00e+00 1.00e+00f 1 29 2.0000001e-02 0.00e+00 6.98e-06 -8.6 8.61e-07 0.9 1.00e+00 1.00e+00h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 30 2.0000001e-02 0.00e+00 8.57e-06 -8.6 3.96e-07 1.3 1.00e+00 1.00e+00f 1 31 2.0000001e-02 0.00e+00 1.92e-05 -8.6 2.67e-06 0.9 1.00e+00 1.00e+00h 1 32 2.0000002e-02 0.00e+00 2.43e-05 -8.6 1.26e-06 1.3 1.00e+00 1.00e+00f 1 33 2.0000002e-02 0.00e+00 6.47e-05 -8.6 1.01e-05 0.8 1.00e+00 1.00e+00h 1 34 2.0000003e-02 0.00e+00 8.44e-05 -8.6 4.94e-06 1.2 1.00e+00 1.00e+00f 1 35 2.0000021e-02 0.00e+00 2.83e-04 -8.6 4.98e-05 0.8 1.00e+00 1.00e+00f 1 36 2.0000038e-02 0.00e+00 3.85e-04 -8.6 2.53e-05 1.2 1.00e+00 1.00e+00h 1 37 2.0000841e-02 0.00e+00 1.83e-03 -8.6 3.62e-04 0.7 1.00e+00 1.00e+00f 1 38 2.0001696e-02 0.00e+00 2.60e-03 -8.6 1.93e-04 1.1 1.00e+00 1.00e+00f 1 39 2.0136920e-02 0.00e+00 2.34e-02 -8.6 5.20e-03 0.7 1.00e+00 1.00e+00f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 40 2.0308016e-02 0.00e+00 3.51e-02 -8.6 2.92e-03 1.1 1.00e+00 1.00e+00f 1 41 6.0000006e-02 0.00e+00 4.00e-01 -8.6 5.19e+01 0.6 2.09e-03 1.76e-03f 1 42 6.0000000e-02 0.00e+00 4.00e-01 -8.6 3.98e-02 - 1.00e+00 1.98e-07f 23 43 6.0000006e-02 0.00e+00 2.04e-01 -8.6 1.97e-08 - 1.00e+00 4.90e-01h 2 44 6.0000009e-02 0.00e+00 2.51e-14 -8.6 3.71e-09 - 1.00e+00 1.00e+00h 1 Number of Iterations....: 44 (scaled) (unscaled) Objective...............: -6.0000008694962359e-02 6.0000008694962359e-02 Dual infeasibility......: 2.5091040356528538e-14 2.5091040356528538e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 6.8676206943507623e-09 6.8676206943507623e-09 Complementarity.........: 2.5059036095573024e-09 2.5059036095573024e-09 Overall NLP error.......: 2.5059036095573024e-09 2.5059036095573024e-09 Number of objective function evaluations = 73 Number of objective gradient evaluations = 45 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 73 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.018 EXIT: Optimal Solution Found. ┌ Info: Solution #2/2 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 6.00000e-02 │ │ └ dual_objective_value : 3.34000e+00 │ └ Work counters │ ├ solve_time (sec) : 1.93088e-02 └ └ barrier_iterations : 44 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 2 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.0291050e+01 1.78e+00 1.25e+01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.0062071e+01 1.76e+00 1.21e+01 -1.0 7.62e-01 - 2.07e-02 2.34e-02h 1 2 1.7375184e-01 0.00e+00 9.14e+01 -1.0 9.51e-01 2.0 5.14e-02 1.00e+00h 1 3 1.5912024e-01 0.00e+00 4.46e+01 -1.0 1.62e-02 - 1.00e+00 5.00e-01f 2 4 2.0779876e-01 0.00e+00 1.00e-06 -1.0 1.81e-02 - 1.00e+00 1.00e+00f 1 5 3.9701792e-01 0.00e+00 1.70e-01 -2.5 5.97e-02 - 7.20e-01 9.25e-01f 1 6 3.9413676e-01 0.00e+00 2.83e-08 -2.5 7.24e-04 - 1.00e+00 1.00e+00f 1 7 3.9972282e-01 0.00e+00 1.50e-09 -3.8 1.40e-03 - 1.00e+00 1.00e+00f 1 8 3.9999646e-01 0.00e+00 1.84e-11 -5.7 6.84e-05 - 1.00e+00 1.00e+00f 1 9 4.0000008e-01 0.00e+00 2.49e-14 -8.6 9.07e-07 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: -4.0000008302771217e-01 4.0000008302771217e-01 Dual infeasibility......: 2.4868995751603507e-14 2.4868995751603507e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 9.3746672646943807e-09 9.3746672646943807e-09 Complementarity.........: 2.5080062772187854e-09 2.5080062772187854e-09 Overall NLP error.......: 2.5080062772187854e-09 2.5080062772187854e-09 Number of objective function evaluations = 15 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 15 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.005 EXIT: Optimal Solution Found. ┌ Info: Solution #1/1 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 4.00000e-01 │ │ └ dual_objective_value : 7.30000e+00 │ └ Work counters │ ├ solve_time (sec) : 6.09517e-03 └ └ barrier_iterations : 9 Test Summary: | Pass Total Time Max Distance | 9 9 5.6s This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.0200000e+00 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 2.0394000e+00 0.00e+00 1.11e-16 -1.7 9.70e-03 - 1.00e+00 1.00e+00f 1 2 2.0014560e+00 0.00e+00 5.20e-17 -3.8 1.90e-02 - 9.86e-01 1.00e+00f 1 3 2.0000037e+00 0.00e+00 9.98e-17 -5.7 7.26e-04 - 1.00e+00 1.00e+00f 1 4 2.0000000e+00 0.00e+00 6.34e-17 -8.6 1.84e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 4 (scaled) (unscaled) Objective...............: 1.9999999850185959e+00 1.9999999850185959e+00 Dual infeasibility......: 6.3422015442139365e-17 6.3422015442139365e-17 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907020586323370e-09 7.4907020586323370e-09 Complementarity.........: 2.5092979978947970e-09 2.5092979978947970e-09 Overall NLP error.......: 2.5092979978947970e-09 2.5092979978947970e-09 Number of objective function evaluations = 5 Number of objective gradient evaluations = 5 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 3 variables with only lower bounds: 0 variables with lower and upper bounds: 3 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.9999970e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.1849997e-01 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 2.9711850e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 2.9909665e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 2.9995274e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 2.9999944e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 3.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -3.0000000224721077e+00 3.0000000224721077e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 3 variables with only lower bounds: 0 variables with lower and upper bounds: 3 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.9999970e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.1849997e-01 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 2.9711850e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 2.9909665e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 2.9995274e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 2.9999944e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 3.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -3.0000000224721077e+00 3.0000000224721077e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.9999970e-02 1.78e+00 1.67e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.2416090e-02 1.75e+00 1.50e+00 -1.0 6.96e-01 - 2.13e-02 2.56e-02h 1 2 2.3104781e+00 4.80e-01 2.74e+00 -1.0 1.37e+00 - 3.17e-01 7.05e-01f 1 3 2.8940784e+00 0.00e+00 2.33e+00 -1.0 7.77e-01 - 3.20e-01 8.54e-01f 1 4 2.8492273e+00 0.00e+00 1.00e-06 -1.0 1.44e-01 - 1.00e+00 1.00e+00f 1 5 2.8982124e+00 0.00e+00 4.52e-01 -2.5 3.66e-02 - 6.89e-01 1.00e+00f 1 6 2.9936279e+00 0.00e+00 2.83e-08 -2.5 8.28e-02 - 1.00e+00 1.00e+00f 1 7 2.9995887e+00 0.00e+00 1.50e-09 -3.8 4.63e-03 - 1.00e+00 1.00e+00f 1 8 2.9999962e+00 0.00e+00 1.84e-11 -5.7 3.16e-04 - 1.00e+00 1.00e+00f 1 9 3.0000000e+00 0.00e+00 2.51e-14 -8.6 2.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: -3.0000000249576080e+00 3.0000000249576080e+00 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 8.7420310990182770e-09 8.7420310990182770e-09 Complementarity.........: 2.5264541946492058e-09 2.5264541946492058e-09 Overall NLP error.......: 2.5264541946492058e-09 2.5264541946492058e-09 Number of objective function evaluations = 10 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 10 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 1.78e+00 6.67e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 0.0000000e+00 1.75e+00 5.06e-01 -1.0 7.10e-01 - 2.18e-02 2.51e-02h 1 2 0.0000000e+00 0.00e+00 2.85e+00 -1.0 9.02e-01 - 4.05e-01 1.00e+00f 1 3 0.0000000e+00 0.00e+00 3.55e+00 -1.0 8.84e-02 - 1.00e+00 2.50e-01f 3 4 0.0000000e+00 0.00e+00 1.00e-06 -1.0 2.79e-03 - 1.00e+00 1.00e+00f 1 5 0.0000000e+00 0.00e+00 2.83e-08 -2.5 2.41e-05 - 1.00e+00 1.00e+00f 1 6 0.0000000e+00 0.00e+00 1.50e-09 -3.8 4.41e-05 - 1.00e+00 1.00e+00f 1 7 0.0000000e+00 0.00e+00 1.84e-11 -5.7 9.62e-06 - 1.00e+00 1.00e+00f 1 8 0.0000000e+00 0.00e+00 2.51e-14 -8.6 1.05e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 8 (scaled) (unscaled) Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5336440617866872e-09 2.5336440617866872e-09 Overall NLP error.......: 2.5336440617866872e-09 2.5336440617866872e-09 Number of objective function evaluations = 15 Number of objective gradient evaluations = 9 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 15 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. ┌ Info: Solution #1/1 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 0.00000e+00 │ │ └ dual_objective_value : -7.16903e-09 │ └ Work counters │ ├ solve_time (sec) : 5.38802e-03 └ └ barrier_iterations : 8 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 1 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 7.90e-01 5.00e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 0.0000000e+00 7.79e-01 5.44e-01 -1.7 5.02e-01 - 3.34e-02 3.55e-02h 1 2 0.0000000e+00 0.00e+00 2.00e-07 -1.7 7.90e-01 - 1.00e+00 1.00e+00f 1 3 0.0000000e+00 0.00e+00 9.37e-03 -1.7 6.80e-02 - 9.51e-01 1.00e+00f 1 4 0.0000000e+00 0.00e+00 2.83e-08 -2.5 1.85e-03 - 1.00e+00 1.00e+00f 1 5 0.0000000e+00 0.00e+00 1.50e-09 -3.8 1.36e-03 - 1.00e+00 1.00e+00f 1 6 0.0000000e+00 0.00e+00 1.84e-11 -5.7 2.92e-04 - 1.00e+00 1.00e+00h 1 7 0.0000000e+00 0.00e+00 2.51e-14 -8.6 3.20e-05 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 7 (scaled) (unscaled) Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 3.1289109656385782e-09 3.1289109656385782e-09 Overall NLP error.......: 3.1289109656385782e-09 3.1289109656385782e-09 Number of objective function evaluations = 8 Number of objective gradient evaluations = 8 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 8 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. ┌ Info: Solution #1/1 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 0.00000e+00 │ │ └ dual_objective_value : -4.75030e-09 │ └ Work counters │ ├ solve_time (sec) : 3.81899e-03 └ └ barrier_iterations : 7 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 1.78e+00 6.67e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 0.0000000e+00 1.75e+00 5.06e-01 -1.0 7.10e-01 - 2.18e-02 2.51e-02h 1 2 0.0000000e+00 0.00e+00 2.85e+00 -1.0 9.02e-01 - 4.05e-01 1.00e+00f 1 3 0.0000000e+00 0.00e+00 3.55e+00 -1.0 8.84e-02 - 1.00e+00 2.50e-01f 3 4 0.0000000e+00 0.00e+00 1.00e-06 -1.0 2.79e-03 - 1.00e+00 1.00e+00f 1 5 0.0000000e+00 0.00e+00 2.83e-08 -2.5 2.41e-05 - 1.00e+00 1.00e+00f 1 6 0.0000000e+00 0.00e+00 1.50e-09 -3.8 4.41e-05 - 1.00e+00 1.00e+00f 1 7 0.0000000e+00 0.00e+00 1.84e-11 -5.7 9.62e-06 - 1.00e+00 1.00e+00f 1 8 0.0000000e+00 0.00e+00 2.51e-14 -8.6 1.05e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 8 (scaled) (unscaled) Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5336440617866872e-09 2.5336440617866872e-09 Overall NLP error.......: 2.5336440617866872e-09 2.5336440617866872e-09 Number of objective function evaluations = 15 Number of objective gradient evaluations = 9 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 15 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. ┌ Info: Solution #1/2 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 0.00000e+00 │ │ └ dual_objective_value : -7.16903e-09 │ └ Work counters │ ├ solve_time (sec) : 4.53806e-03 └ └ barrier_iterations : 8 [ Info: Reconfiguring model for generating alternatives. [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 -9.9999900e-03 1.78e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 -2.3914102e-02 1.75e+00 1.15e+00 -1.0 7.06e-01 - 2.15e-02 2.52e-02h 1 2 -9.9023915e-01 4.81e-01 1.88e+00 -1.0 1.37e+00 - 3.80e-01 7.05e-01f 1 3 -9.4604249e-01 7.83e-02 1.61e+00 -1.0 5.27e-01 - 4.15e-01 8.48e-01h 1 4 -9.4959499e-01 0.00e+00 1.00e-06 -1.0 1.62e-01 - 1.00e+00 1.00e+00f 1 5 -9.7083170e-01 0.00e+00 1.02e-01 -2.5 2.12e-02 - 8.98e-01 1.00e+00f 1 6 -9.9771175e-01 0.00e+00 2.83e-08 -2.5 2.89e-02 - 1.00e+00 1.00e+00f 1 7 -9.9978805e-01 0.00e+00 1.50e-09 -3.8 2.08e-03 - 1.00e+00 1.00e+00f 1 8 -9.9999790e-01 0.00e+00 1.84e-11 -5.7 2.10e-04 - 1.00e+00 1.00e+00f 1 9 -1.0000000e+00 0.00e+00 2.51e-14 -8.6 1.02e-05 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: -1.0000000074561184e+00 -1.0000000074561184e+00 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4561183893706584e-09 7.4561183893706584e-09 Complementarity.........: 2.6530520318871363e-09 2.6530520318871363e-09 Overall NLP error.......: 2.6530520318871363e-09 2.6530520318871363e-09 Number of objective function evaluations = 10 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 10 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. ┌ Info: Solution #2/2 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : -1.00000e+00 │ │ └ dual_objective_value : -1.00000e+00 │ └ Work counters │ ├ solve_time (sec) : 4.52304e-03 └ └ barrier_iterations : 9 Test Summary: | Pass Total Time Min Max Variables | 12 12 0.9s This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.0200000e+00 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 2.0394000e+00 0.00e+00 1.11e-16 -1.7 9.70e-03 - 1.00e+00 1.00e+00f 1 2 2.0014560e+00 0.00e+00 5.20e-17 -3.8 1.90e-02 - 9.86e-01 1.00e+00f 1 3 2.0000037e+00 0.00e+00 9.98e-17 -5.7 7.26e-04 - 1.00e+00 1.00e+00f 1 4 2.0000000e+00 0.00e+00 6.34e-17 -8.6 1.84e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 4 (scaled) (unscaled) Objective...............: 1.9999999850185959e+00 1.9999999850185959e+00 Dual infeasibility......: 6.3422015442139365e-17 6.3422015442139365e-17 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907020586323370e-09 7.4907020586323370e-09 Complementarity.........: 2.5092979978947970e-09 2.5092979978947970e-09 Overall NLP error.......: 2.5092979978947970e-09 2.5092979978947970e-09 Number of objective function evaluations = 5 Number of objective gradient evaluations = 5 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 3 variables with only lower bounds: 0 variables with lower and upper bounds: 3 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.9999970e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.1849997e-01 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 2.9711850e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 2.9909665e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 2.9995274e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 2.9999944e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 3.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -3.0000000224721077e+00 3.0000000224721077e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 3 variables with only lower bounds: 0 variables with lower and upper bounds: 3 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.9999970e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.1849997e-01 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 2.9711850e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 2.9909665e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 2.9995274e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 2.9999944e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 3.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -3.0000000224721077e+00 3.0000000224721077e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.9999970e-02 1.78e+00 1.67e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.2416090e-02 1.75e+00 1.50e+00 -1.0 6.96e-01 - 2.13e-02 2.56e-02h 1 2 2.3104781e+00 4.80e-01 2.74e+00 -1.0 1.37e+00 - 3.17e-01 7.05e-01f 1 3 2.8940784e+00 0.00e+00 2.33e+00 -1.0 7.77e-01 - 3.20e-01 8.54e-01f 1 4 2.8492273e+00 0.00e+00 1.00e-06 -1.0 1.44e-01 - 1.00e+00 1.00e+00f 1 5 2.8982124e+00 0.00e+00 4.52e-01 -2.5 3.66e-02 - 6.89e-01 1.00e+00f 1 6 2.9936279e+00 0.00e+00 2.83e-08 -2.5 8.28e-02 - 1.00e+00 1.00e+00f 1 7 2.9995887e+00 0.00e+00 1.50e-09 -3.8 4.63e-03 - 1.00e+00 1.00e+00f 1 8 2.9999962e+00 0.00e+00 1.84e-11 -5.7 3.16e-04 - 1.00e+00 1.00e+00f 1 9 3.0000000e+00 0.00e+00 2.51e-14 -8.6 2.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: -3.0000000249576080e+00 3.0000000249576080e+00 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 8.7420310990182770e-09 8.7420310990182770e-09 Complementarity.........: 2.5264541946492058e-09 2.5264541946492058e-09 Overall NLP error.......: 2.5264541946492058e-09 2.5264541946492058e-09 Number of objective function evaluations = 10 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 10 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 -5.1557833e-03 1.78e+00 8.39e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 -1.2227433e-02 1.75e+00 6.68e-01 -1.0 7.08e-01 - 2.18e-02 2.52e-02h 1 2 -4.7739532e-01 0.00e+00 3.09e+00 -1.0 9.09e-01 - 3.85e-01 1.00e+00f 1 3 -4.8510461e-01 0.00e+00 3.69e+00 -1.0 1.20e-01 - 9.85e-01 2.50e-01f 3 4 -4.8444788e-01 0.00e+00 1.00e-06 -1.0 3.69e-03 - 1.00e+00 1.00e+00f 1 5 -4.8660491e-01 0.00e+00 1.03e-01 -2.5 8.36e-03 - 9.25e-01 1.00e+00f 1 6 -5.1200005e-01 0.00e+00 2.83e-08 -2.5 9.86e-02 - 1.00e+00 1.00e+00f 1 7 -5.1491970e-01 0.00e+00 9.14e-04 -3.8 1.13e-02 - 9.69e-01 1.00e+00f 1 8 -5.1557464e-01 0.00e+00 1.84e-11 -5.7 2.54e-03 - 1.00e+00 1.00e+00f 1 9 -5.1557884e-01 0.00e+00 2.51e-14 -8.6 1.63e-05 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: -5.1557884456861647e-01 -5.1557884456861647e-01 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 1.4522694158358718e-10 1.4522694158358718e-10 Complementarity.........: 2.5964263128385027e-09 2.5964263128385027e-09 Overall NLP error.......: 2.5964263128385027e-09 2.5964263128385027e-09 Number of objective function evaluations = 16 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 16 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. ┌ Info: Solution #1/1 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : -5.15579e-01 │ │ └ dual_objective_value : -5.15579e-01 │ └ Work counters │ ├ solve_time (sec) : 5.11503e-03 └ └ barrier_iterations : 9 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 1 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 -2.5514887e-01 7.90e-01 6.32e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 -2.5803851e-01 7.79e-01 6.80e-01 -1.7 5.00e-01 - 3.32e-02 3.56e-02h 1 2 -4.6574672e-01 0.00e+00 5.01e-02 -1.7 7.90e-01 - 9.74e-01 1.00e+00f 1 3 -5.1508053e-01 0.00e+00 1.88e-01 -1.7 3.05e-01 - 7.43e-01 6.16e-01f 1 4 -5.1460427e-01 0.00e+00 2.83e-08 -2.5 1.81e-03 - 1.00e+00 1.00e+00f 1 5 -5.1535556e-01 0.00e+00 1.50e-09 -3.8 2.86e-03 - 1.00e+00 1.00e+00f 1 6 -5.1557653e-01 0.00e+00 1.84e-11 -5.7 8.40e-04 - 1.00e+00 1.00e+00f 1 7 -5.1557885e-01 0.00e+00 2.51e-14 -8.6 8.79e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 7 (scaled) (unscaled) Objective...............: -5.1557884653721375e-01 -5.1557884653721375e-01 Dual infeasibility......: 2.5059035216616534e-14 2.5059035216616534e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 1.6733037178084942e-10 1.6733037178084942e-10 Complementarity.........: 2.5865879035254057e-09 2.5865879035254057e-09 Overall NLP error.......: 2.5865879035254057e-09 2.5865879035254057e-09 Number of objective function evaluations = 8 Number of objective gradient evaluations = 8 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 8 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. ┌ Info: Solution #1/1 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : -5.15579e-01 │ │ └ dual_objective_value : -5.15579e-01 │ └ Work counters │ ├ solve_time (sec) : 3.64208e-03 └ └ barrier_iterations : 7 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 -5.1557833e-03 1.78e+00 8.39e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 -1.2227433e-02 1.75e+00 6.68e-01 -1.0 7.08e-01 - 2.18e-02 2.52e-02h 1 2 -4.7739532e-01 0.00e+00 3.09e+00 -1.0 9.09e-01 - 3.85e-01 1.00e+00f 1 3 -4.8510461e-01 0.00e+00 3.69e+00 -1.0 1.20e-01 - 9.85e-01 2.50e-01f 3 4 -4.8444788e-01 0.00e+00 1.00e-06 -1.0 3.69e-03 - 1.00e+00 1.00e+00f 1 5 -4.8660491e-01 0.00e+00 1.03e-01 -2.5 8.36e-03 - 9.25e-01 1.00e+00f 1 6 -5.1200005e-01 0.00e+00 2.83e-08 -2.5 9.86e-02 - 1.00e+00 1.00e+00f 1 7 -5.1491970e-01 0.00e+00 9.14e-04 -3.8 1.13e-02 - 9.69e-01 1.00e+00f 1 8 -5.1557464e-01 0.00e+00 1.84e-11 -5.7 2.54e-03 - 1.00e+00 1.00e+00f 1 9 -5.1557884e-01 0.00e+00 2.51e-14 -8.6 1.63e-05 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: -5.1557884456861647e-01 -5.1557884456861647e-01 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 1.4522694158358718e-10 1.4522694158358718e-10 Complementarity.........: 2.5964263128385027e-09 2.5964263128385027e-09 Overall NLP error.......: 2.5964263128385027e-09 2.5964263128385027e-09 Number of objective function evaluations = 16 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 16 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. ┌ Info: Solution #1/2 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : -5.15579e-01 │ │ └ dual_objective_value : -5.15579e-01 │ └ Work counters │ ├ solve_time (sec) : 4.63700e-03 └ └ barrier_iterations : 9 [ Info: Reconfiguring model for generating alternatives. [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 -1.0350515e-02 1.78e+00 1.01e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 -2.4647352e-02 1.75e+00 8.48e-01 -1.0 7.06e-01 - 2.16e-02 2.53e-02h 1 2 -9.0532372e-01 1.90e-01 2.64e+00 -1.0 1.12e+00 - 3.74e-01 8.66e-01f 1 3 -9.9250533e-01 0.00e+00 3.34e-01 -1.0 5.05e-01 - 5.83e-01 7.44e-01h 1 4 -1.0030781e+00 0.00e+00 1.53e-03 -1.7 5.25e-02 - 9.98e-01 1.00e+00h 1 5 -1.0174846e+00 0.00e+00 4.66e-02 -2.5 2.17e-02 - 9.03e-01 1.00e+00f 1 6 -1.0299358e+00 0.00e+00 2.83e-08 -2.5 2.12e-02 - 1.00e+00 1.00e+00f 1 7 -1.0345492e+00 0.00e+00 1.24e-04 -3.8 1.03e-02 - 9.93e-01 1.00e+00f 1 8 -1.0350487e+00 0.00e+00 1.84e-11 -5.7 1.19e-03 - 1.00e+00 1.00e+00f 1 9 -1.0350526e+00 0.00e+00 2.51e-14 -8.6 8.74e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: -1.0350525730625040e+00 -1.0350525730625040e+00 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 6.4380192288382432e-09 6.4380192288382432e-09 Complementarity.........: 2.5726691804034594e-09 2.5726691804034594e-09 Overall NLP error.......: 2.5726691804034594e-09 2.5726691804034594e-09 Number of objective function evaluations = 10 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 10 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. ┌ Info: Solution #2/2 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : -1.03505e+00 │ │ └ dual_objective_value : -1.03505e+00 │ └ Work counters │ ├ solve_time (sec) : 4.44794e-03 └ └ barrier_iterations : 9 Test Summary: | Pass Total Time Random Vector | 12 12 0.8s This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.0200000e+00 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 2.0394000e+00 0.00e+00 1.11e-16 -1.7 9.70e-03 - 1.00e+00 1.00e+00f 1 2 2.0014560e+00 0.00e+00 5.20e-17 -3.8 1.90e-02 - 9.86e-01 1.00e+00f 1 3 2.0000037e+00 0.00e+00 9.98e-17 -5.7 7.26e-04 - 1.00e+00 1.00e+00f 1 4 2.0000000e+00 0.00e+00 6.34e-17 -8.6 1.84e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 4 (scaled) (unscaled) Objective...............: 1.9999999850185959e+00 1.9999999850185959e+00 Dual infeasibility......: 6.3422015442139365e-17 6.3422015442139365e-17 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907020586323370e-09 7.4907020586323370e-09 Complementarity.........: 2.5092979978947970e-09 2.5092979978947970e-09 Overall NLP error.......: 2.5092979978947970e-09 2.5092979978947970e-09 Number of objective function evaluations = 5 Number of objective gradient evaluations = 5 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 2.3842498e-01 0.00e+00 4.92e-01 -1.0 1.09e-01 - 5.08e-01 1.00e+00f 1 2 5.4573011e+00 0.00e+00 3.40e-01 -1.0 8.34e+00 - 3.09e-01 4.61e-01f 1 3 5.9741188e+00 0.00e+00 0.00e+00 -1.7 7.43e-01 - 1.00e+00 6.72e-01f 1 4 5.9995390e+00 0.00e+00 0.00e+00 -3.8 2.06e-02 - 1.00e+00 1.00e+00f 1 5 5.9999964e+00 0.00e+00 2.22e-16 -5.7 2.45e-04 - 1.00e+00 1.00e+00f 1 6 6.0000001e+00 0.00e+00 0.00e+00 -8.6 1.85e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -6.0000000549856463e+00 6.0000000549856463e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 3.7493247617703673e-08 3.7493247617703673e-08 Complementarity.........: 2.5076007968172859e-09 2.5076007968172859e-09 Overall NLP error.......: 2.5076007968172859e-09 2.5076007968172859e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 2.3842498e-01 0.00e+00 4.92e-01 -1.0 1.09e-01 - 5.08e-01 1.00e+00f 1 2 5.4573011e+00 0.00e+00 3.40e-01 -1.0 8.34e+00 - 3.09e-01 4.61e-01f 1 3 5.9741188e+00 0.00e+00 0.00e+00 -1.7 7.43e-01 - 1.00e+00 6.72e-01f 1 4 5.9995390e+00 0.00e+00 0.00e+00 -3.8 2.06e-02 - 1.00e+00 1.00e+00f 1 5 5.9999964e+00 0.00e+00 2.22e-16 -5.7 2.45e-04 - 1.00e+00 1.00e+00f 1 6 6.0000001e+00 0.00e+00 0.00e+00 -8.6 1.85e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -6.0000000549856463e+00 6.0000000549856463e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 3.7493247617703673e-08 3.7493247617703673e-08 Complementarity.........: 2.5076007968172859e-09 2.5076007968172859e-09 Overall NLP error.......: 2.5076007968172859e-09 2.5076007968172859e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.9999970e-02 1.78e+00 1.67e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.2416090e-02 1.75e+00 1.50e+00 -1.0 6.96e-01 - 2.13e-02 2.56e-02h 1 2 2.3104781e+00 4.80e-01 2.74e+00 -1.0 1.37e+00 - 3.17e-01 7.05e-01f 1 3 2.8940784e+00 0.00e+00 2.33e+00 -1.0 7.77e-01 - 3.20e-01 8.54e-01f 1 4 2.8492273e+00 0.00e+00 1.00e-06 -1.0 1.44e-01 - 1.00e+00 1.00e+00f 1 5 2.8982124e+00 0.00e+00 4.52e-01 -2.5 3.66e-02 - 6.89e-01 1.00e+00f 1 6 2.9936279e+00 0.00e+00 2.83e-08 -2.5 8.28e-02 - 1.00e+00 1.00e+00f 1 7 2.9995887e+00 0.00e+00 1.50e-09 -3.8 4.63e-03 - 1.00e+00 1.00e+00f 1 8 2.9999962e+00 0.00e+00 1.84e-11 -5.7 3.16e-04 - 1.00e+00 1.00e+00f 1 9 3.0000000e+00 0.00e+00 2.51e-14 -8.6 2.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: -3.0000000249576080e+00 3.0000000249576080e+00 Dual infeasibility......: 2.5059036063649481e-14 2.5059036063649481e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 8.7420310990182770e-09 8.7420310990182770e-09 Complementarity.........: 2.5264541946492058e-09 2.5264541946492058e-09 Overall NLP error.......: 2.5264541946492058e-09 2.5264541946492058e-09 Number of objective function evaluations = 10 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 10 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 1.78e+00 4.99e-09 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 4.6686367e-02 1.75e+00 1.21e-01 -1.0 7.20e-01 - 2.20e-02 2.48e-02h 1 2 1.8508000e+00 0.00e+00 1.90e+00 -1.0 9.02e-01 - 5.08e-01 1.00e+00h 1 3 1.8427575e+00 0.00e+00 2.89e+00 -1.0 3.22e-02 - 1.00e+00 2.50e-01f 3 4 1.8460323e+00 0.00e+00 1.00e-06 -1.0 3.27e-03 - 1.00e+00 1.00e+00f 1 5 1.8286656e+00 0.00e+00 1.05e-01 -2.5 1.74e-02 - 9.20e-01 1.00e+00f 1 6 1.8017555e+00 0.00e+00 2.83e-08 -2.5 2.69e-02 - 1.00e+00 1.00e+00f 1 7 1.8001941e+00 0.00e+00 1.50e-09 -3.8 1.56e-03 - 1.00e+00 1.00e+00f 1 8 1.8000021e+00 0.00e+00 1.84e-11 -5.7 1.92e-04 - 1.00e+00 1.00e+00f 1 9 1.8000000e+00 0.00e+00 2.51e-14 -8.6 2.05e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: 1.8000000115035064e+00 1.8000000115035064e+00 Dual infeasibility......: 2.5091040356528538e-14 2.5091040356528538e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5369775920140974e-09 2.5369775920140974e-09 Overall NLP error.......: 2.5369775920140974e-09 2.5369775920140974e-09 Number of objective function evaluations = 16 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 16 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. ┌ Info: Solution #1/1 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 1.80000e+00 │ │ └ dual_objective_value : 1.80000e+00 │ └ Work counters │ ├ solve_time (sec) : 4.52209e-03 └ └ barrier_iterations : 9 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 1 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.0100000e+00 7.90e-01 3.75e-09 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.0205272e+00 7.79e-01 2.70e-02 -1.7 5.08e-01 - 3.41e-02 3.51e-02h 1 2 1.8102368e+00 0.00e+00 2.00e-07 -1.7 7.90e-01 - 1.00e+00 1.00e+00h 1 3 1.8172766e+00 0.00e+00 2.00e-07 -1.7 7.04e-03 - 1.00e+00 1.00e+00f 1 4 1.8020978e+00 0.00e+00 9.08e-03 -3.8 1.52e-02 - 9.28e-01 1.00e+00f 1 5 1.8001456e+00 0.00e+00 1.50e-09 -3.8 1.95e-03 - 1.00e+00 1.00e+00f 1 6 1.8000019e+00 0.00e+00 1.84e-11 -5.7 1.44e-04 - 1.00e+00 1.00e+00f 1 7 1.8000000e+00 0.00e+00 2.49e-14 -8.6 1.92e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 7 (scaled) (unscaled) Objective...............: 1.8000000114846160e+00 1.8000000114846160e+00 Dual infeasibility......: 2.4868995751603507e-14 2.4868995751603507e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5180871144906875e-09 2.5180871144906875e-09 Overall NLP error.......: 2.5180871144906875e-09 2.5180871144906875e-09 Number of objective function evaluations = 8 Number of objective gradient evaluations = 8 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 8 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. ┌ Info: Solution #1/1 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 1.80000e+00 │ │ └ dual_objective_value : 1.80000e+00 │ └ Work counters │ ├ solve_time (sec) : 3.51787e-03 └ └ barrier_iterations : 7 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 1.78e+00 4.99e-09 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 4.6686367e-02 1.75e+00 1.21e-01 -1.0 7.20e-01 - 2.20e-02 2.48e-02h 1 2 1.8508000e+00 0.00e+00 1.90e+00 -1.0 9.02e-01 - 5.08e-01 1.00e+00h 1 3 1.8427575e+00 0.00e+00 2.89e+00 -1.0 3.22e-02 - 1.00e+00 2.50e-01f 3 4 1.8460323e+00 0.00e+00 1.00e-06 -1.0 3.27e-03 - 1.00e+00 1.00e+00f 1 5 1.8286656e+00 0.00e+00 1.05e-01 -2.5 1.74e-02 - 9.20e-01 1.00e+00f 1 6 1.8017555e+00 0.00e+00 2.83e-08 -2.5 2.69e-02 - 1.00e+00 1.00e+00f 1 7 1.8001941e+00 0.00e+00 1.50e-09 -3.8 1.56e-03 - 1.00e+00 1.00e+00f 1 8 1.8000021e+00 0.00e+00 1.84e-11 -5.7 1.92e-04 - 1.00e+00 1.00e+00f 1 9 1.8000000e+00 0.00e+00 2.51e-14 -8.6 2.05e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: 1.8000000115035064e+00 1.8000000115035064e+00 Dual infeasibility......: 2.5091040356528538e-14 2.5091040356528538e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5369775920140974e-09 2.5369775920140974e-09 Overall NLP error.......: 2.5369775920140974e-09 2.5369775920140974e-09 Number of objective function evaluations = 16 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 16 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. ┌ Info: Solution #1/2 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 1.80000e+00 │ │ └ dual_objective_value : 1.80000e+00 │ └ Work counters │ ├ solve_time (sec) : 4.50206e-03 └ └ barrier_iterations : 9 [ Info: Reconfiguring model for generating alternatives. [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 3.7999962e-02 1.78e+00 6.00e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 8.7718952e-02 1.75e+00 6.85e-01 -1.0 7.28e-01 - 2.23e-02 2.45e-02h 1 2 3.5154197e+00 0.00e+00 1.35e+00 -1.0 9.02e-01 - 6.55e-01 1.00e+00h 1 3 3.4681869e+00 0.00e+00 2.49e+00 -1.0 1.33e-01 - 1.00e+00 1.87e-01f 2 4 3.4911696e+00 0.00e+00 1.00e-06 -1.0 1.21e-02 - 1.00e+00 1.00e+00f 1 5 3.4504097e+00 0.00e+00 1.14e-01 -2.5 2.15e-02 - 9.05e-01 1.00e+00f 1 6 3.4222312e+00 0.00e+00 2.83e-08 -2.5 1.48e-02 - 1.00e+00 1.00e+00f 1 7 3.4201785e+00 0.00e+00 1.50e-09 -3.8 1.08e-03 - 1.00e+00 1.00e+00f 1 8 3.4200020e+00 0.00e+00 1.84e-11 -5.7 9.29e-05 - 1.00e+00 1.00e+00f 1 9 3.4200000e+00 0.00e+00 2.51e-14 -8.6 1.03e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 9 (scaled) (unscaled) Objective...............: 3.4200000056417563e+00 3.4200000056417563e+00 Dual infeasibility......: 2.5091040356528538e-14 2.5091040356528538e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5220722114016388e-09 2.5220722114016388e-09 Overall NLP error.......: 2.5220722114016388e-09 2.5220722114016388e-09 Number of objective function evaluations = 15 Number of objective gradient evaluations = 10 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 15 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. ┌ Info: Solution #2/2 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 3.42000e+00 │ │ └ dual_objective_value : 3.42000e+00 │ └ Work counters │ ├ solve_time (sec) : 4.81296e-03 └ └ barrier_iterations : 9 Test Summary: | Pass Total Time Spores | 12 12 0.9s This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 3 variables with only lower bounds: 1 variables with lower and upper bounds: 1 variables with only upper bounds: 1 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 9.9950021e-01 0.00e+00 4.92e-01 -1.7 9.80e-01 - 5.08e-01 1.00e+00f 1 2 1.9503951e+00 0.00e+00 2.00e-07 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9913320e+00 0.00e+00 2.83e-08 -2.5 1.72e-02 - 1.00e+00 1.00e+00f 1 4 1.9995416e+00 0.00e+00 1.50e-09 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999945e+00 0.00e+00 1.84e-11 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 2.51e-14 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000224788952e+00 2.0000000224788952e+00 Dual infeasibility......: 2.5091040356528538e-14 2.5091040356528538e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4940964545078259e-09 7.4940964545078259e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 1 Number of nonzeros in inequality constraint Jacobian.: 4 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 1 Total number of inequality constraints...............: 2 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 0.00e+00 6.67e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 2.5847174e-01 0.00e+00 1.93e+00 -1.0 1.29e-01 - 3.39e-01 1.00e+00f 1 2 5.9425848e+00 0.00e+00 1.36e+00 -1.0 8.65e+00 - 1.00e+00 3.29e-01f 1 3 5.9030564e+00 0.00e+00 1.00e-06 -1.0 1.98e-02 - 1.00e+00 1.00e+00f 1 4 5.9956024e+00 9.86e-32 2.83e-08 -2.5 4.63e-02 - 1.00e+00 1.00e+00f 1 5 5.9998489e+00 0.00e+00 1.50e-09 -3.8 2.12e-03 - 1.00e+00 1.00e+00f 1 6 5.9999982e+00 9.86e-32 1.84e-11 -5.7 7.47e-05 - 1.00e+00 1.00e+00f 1 7 6.0000001e+00 0.00e+00 2.51e-14 -8.6 9.23e-07 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 7 (scaled) (unscaled) Objective...............: -6.0000000574935299e+00 6.0000000574935299e+00 Dual infeasibility......: 2.5059035640133008e-14 2.5059035640133008e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5064696995066151e-09 2.5064696995066151e-09 Overall NLP error.......: 2.5064696995066151e-09 2.5064696995066151e-09 Number of objective function evaluations = 8 Number of objective gradient evaluations = 8 Number of equality constraint evaluations = 8 Number of inequality constraint evaluations = 8 Number of equality constraint Jacobian evaluations = 1 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. Test Summary: | Pass Total Time Alternative Metaheuristics | 12 12 23.6s This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Creating the new objective function This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. Test Summary: | Pass Total Time Alternative Optimization | 2 2 1.5s This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Setting up NearOptimalAlternatives problem and solver. [ Info: Solving NearOptimalAlternatives problem. ┌ Info: Solution #1/1 found. │ state = │ Optimization Result │ =================== │ Iteration: 200 │ Non-dominated: 1 / 100 │ Function calls: 20000 │ Feasibles: 100 / 100 in final population │ Total time: 0.1203 s │ Stop reason: Maximum objective function calls exceeded. │ │ minimizer(state) = │ 2-element Vector{Float64}: │ 0.800000013536801 └ 1.0 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Setting up NearOptimalAlternatives problem and solver. [ Info: Solving NearOptimalAlternatives problem. ┌ Info: Solution #1/1 found. │ state = │ Optimization Result │ =================== │ Iteration: 100 │ Non-dominated: 1 / 100 │ Function calls: 10000 │ Feasibles: 100 / 100 in final population │ Total time: 0.1197 s │ Stop reason: Maximum objective function calls exceeded. │ │ minimizer(state) = │ 1-element Vector{Float64}: └ 0.8000007746580902 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Setting up NearOptimalAlternatives problem and solver. [ Info: Solving NearOptimalAlternatives problem. ┌ Info: Solution #1/2 found. │ state = │ Optimization Result │ =================== │ Iteration: 200 │ Non-dominated: 1 / 100 │ Function calls: 20000 │ Feasibles: 100 / 100 in final population │ Total time: 0.1140 s │ Stop reason: Maximum objective function calls exceeded. │ │ minimizer(state) = │ 2-element Vector{Float64}: │ 0.800000013536801 └ 1.0 [ Info: Reconfiguring NearOptimalAlternatives problem with new solution. [ Info: Solving NearOptimalAlternatives problem. ┌ Info: Solution #2/2 found. │ state = │ Optimization Result │ =================== │ Iteration: 201 │ Non-dominated: 1 / 100 │ Function calls: 20000 │ Feasibles: 100 / 100 in final population │ Total time: 0.4195 s │ Stop reason: Maximum objective function calls exceeded. │ │ minimizer(state) = │ 2-element Vector{Float64}: │ 0.8000000134832644 └ 1.0 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.002 EXIT: Optimal Solution Found. [ Info: Setting up NearOptimalAlternatives problem and solver. [ Info: Solving NearOptimalAlternatives problem. ┌ Info: Solution #1/1 found. │ state = │ Optimization Result │ =================== │ Iteration: 200 │ Non-dominated: 1 / 100 │ Function calls: 20000 │ Feasibles: 100 / 100 in final population │ Total time: 0.7502 s │ Stop reason: Maximum objective function calls exceeded. │ │ minimizer(state) = │ 2-element Vector{Float64}: │ 1.0 └ 0.8000000145911175 [ Info: Creating model for generating alternatives. [ Info: Creating the new objective function [ Info: Adding the old objective function as a constraint to the model [ Info: Solving model. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 2 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.4701501e+00 1.78e+00 6.57e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.4305642e+00 1.75e+00 5.07e-01 -1.0 7.17e-01 - 2.19e-02 2.49e-02h 1 2 1.3802063e+00 1.67e+00 2.19e+00 -1.0 2.32e+00 - 4.73e-01 4.48e-02h 1 3 9.6716714e-01 7.92e-01 1.12e+01 -1.0 2.53e+00 - 4.86e-02 3.41e-01f 1 4 7.9933429e-01 7.13e-01 8.01e+00 -1.0 8.78e-01 - 1.53e-01 3.51e-01h 1 5 9.3392846e-03 0.00e+00 4.04e-01 -1.0 8.09e-01 - 8.52e-01 1.00e+00h 1 6 8.9363719e-03 0.00e+00 6.87e-01 -1.7 6.12e-02 - 1.00e+00 1.25e-01f 4 7 9.6891719e-03 0.00e+00 2.00e-07 -1.7 4.93e-03 - 1.00e+00 1.00e+00f 1 8 1.7847274e-02 0.00e+00 9.53e-02 -3.8 4.14e-02 - 6.87e-01 1.00e+00f 1 9 3.6271975e-02 0.00e+00 7.58e-01 -3.8 3.92e-01 - 8.08e-01 1.52e-01f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 3.7762977e-02 0.00e+00 1.50e-09 -3.8 4.02e-03 - 1.00e+00 1.00e+00f 1 11 3.9750113e-02 0.00e+00 1.50e-09 -3.8 5.28e-03 - 1.00e+00 1.00e+00f 1 12 3.9996823e-02 0.00e+00 1.84e-11 -5.7 6.18e-04 - 1.00e+00 1.00e+00f 1 13 4.0000004e-02 0.00e+00 2.50e-14 -8.6 7.95e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 13 (scaled) (unscaled) Objective...............: -4.0000003889562818e-02 4.0000003889562818e-02 Dual infeasibility......: 2.5035529205297280e-14 2.5035529205297280e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 3.8609331287631221e-09 3.8609331287631221e-09 Complementarity.........: 2.5253578778813821e-09 2.5253578778813821e-09 Overall NLP error.......: 2.5253578778813821e-09 2.5253578778813821e-09 Number of objective function evaluations = 21 Number of objective gradient evaluations = 14 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 21 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.006 EXIT: Optimal Solution Found. ┌ Info: Solution #1/1 found. │ solution_summary(model) = │ solution_summary(; result = 1, verbose = false) │ ├ solver_name : Ipopt │ ├ Termination │ │ ├ termination_status : LOCALLY_SOLVED │ │ ├ result_count : 1 │ │ └ raw_status : Solve_Succeeded │ ├ Solution (result = 1) │ │ ├ primal_status : FEASIBLE_POINT │ │ ├ dual_status : FEASIBLE_POINT │ │ ├ objective_value : 4.00000e-02 │ │ └ dual_objective_value : 1.18000e+00 │ └ Work counters │ ├ solve_time (sec) : 6.83904e-03 └ └ barrier_iterations : 13 Test Summary: | Pass Total Time Generate Alternatives | 10 10 13.8s This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Setting up NearOptimalAlternatives problem and solver. [ Info: Solving NearOptimalAlternatives problem. ┌ Info: Solution #1/1 found. │ state = │ Optimization Result │ =================== │ Iteration: 200 │ Non-dominated: 1 / 100 │ Function calls: 20000 │ Feasibles: 50 / 100 in final population │ Total time: 0.4933 s │ Stop reason: Maximum objective function calls exceeded. │ │ minimizer(state) = │ 2-element Vector{Float64}: │ 0.8193549783859528 └ 0.9849974383250027 NearOptimalAlternatives.AlternativeSolutions(Dict{VariableRef, Float64}[Dict(x_1 => 0.8000000134866143, x_2 => 1.0)], [1.8000000134866143]) This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.004 EXIT: Optimal Solution Found. [ Info: Setting up NearOptimalAlternatives problem and solver. [ Info: Solving NearOptimalAlternatives problem. ┌ Info: Solution #1/1 found. │ state = │ Optimization Result │ =================== │ Iteration: 100 │ Non-dominated: 1 / 100 │ Function calls: 10000 │ Feasibles: 49 / 100 in final population │ Total time: 0.0595 s │ Stop reason: Maximum objective function calls exceeded. │ │ minimizer(state) = │ 1-element Vector{Float64}: └ 0.8015336735183695 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Setting up NearOptimalAlternatives problem and solver. [ Info: Solving NearOptimalAlternatives problem. ┌ Info: Solution #1/2 found. │ state = │ Optimization Result │ =================== │ Iteration: 100 │ Non-dominated: 1 / 200 │ Function calls: 20000 │ Feasibles: 156 / 200 in final population │ Total time: 0.1227 s │ Stop reason: Maximum objective function calls exceeded. │ │ minimizer(state) = │ 2-element Vector{Float64}: │ 0.8123419538812282 └ 0.9878449246063601 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Setting up NearOptimalAlternatives problem and solver. [ Info: Solving NearOptimalAlternatives problem. ┌ Info: Solution #1/3 found. │ state = │ Optimization Result │ =================== │ Iteration: 67 │ Non-dominated: 1 / 300 │ Function calls: 20100 │ Feasibles: 197 / 300 in final population │ Total time: 0.1258 s │ Stop reason: Maximum number of iterations exceeded. │ │ minimizer(state) = │ 2-element Vector{Float64}: │ 0.8123419538812282 └ 0.9878449246063601 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9999980e-02 0.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 7.8999980e-02 0.00e+00 4.92e-01 -1.7 2.95e-02 - 5.08e-01 1.00e+00f 1 2 1.9807900e+00 0.00e+00 2.22e-16 -1.7 1.88e+00 - 1.00e+00 5.07e-01f 1 3 1.9939776e+00 0.00e+00 0.00e+00 -2.5 6.59e-03 - 1.00e+00 1.00e+00f 1 4 1.9996849e+00 0.00e+00 0.00e+00 -3.8 2.85e-03 - 1.00e+00 1.00e+00f 1 5 1.9999963e+00 0.00e+00 0.00e+00 -5.7 1.56e-04 - 1.00e+00 1.00e+00f 1 6 2.0000000e+00 0.00e+00 0.00e+00 -8.6 1.86e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 6 (scaled) (unscaled) Objective...............: -2.0000000149814050e+00 2.0000000149814050e+00 Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 7.4907025027215468e-09 7.4907025027215468e-09 Complementarity.........: 2.5092974427832843e-09 2.5092974427832843e-09 Overall NLP error.......: 2.5092974427832843e-09 2.5092974427832843e-09 Number of objective function evaluations = 7 Number of objective gradient evaluations = 7 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Setting up NearOptimalAlternatives problem and solver. [ Info: Solving NearOptimalAlternatives problem. ┌ Info: Solution #1/2 found. │ state = │ Optimization Result │ =================== │ Iteration: 100 │ Non-dominated: 1 / 200 │ Function calls: 20000 │ Feasibles: 169 / 200 in final population │ Total time: 0.1278 s │ Stop reason: Maximum objective function calls exceeded. │ │ minimizer(state) = │ 2-element Vector{Float64}: │ 0.8123419538812282 └ 0.9878449246063601 Test Summary: | Pass Total Time Psoga | 5 5 9.5s This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 2 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9602000e+00 1.78e+00 6.53e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.9076042e+00 1.75e+00 7.60e-01 -1.0 7.19e-01 - 2.20e-02 2.48e-02h 1 2 1.1123524e-02 0.00e+00 1.84e+00 -1.0 9.02e-01 0.0 5.22e-01 1.00e+00h 1 3 8.3143500e-03 0.00e+00 2.88e+00 -1.0 8.08e-02 - 9.99e-01 2.50e-01f 3 4 8.8450089e-03 0.00e+00 1.00e-06 -1.0 4.05e-03 - 1.00e+00 1.00e+00f 1 5 9.3791020e-03 0.00e+00 5.64e-03 -2.5 3.96e-03 - 9.96e-01 1.00e+00f 1 6 1.3310991e-02 0.00e+00 6.99e-02 -3.8 2.62e-02 0.4 1.00e+00 1.00e+00f 1 7 1.5735347e-02 0.00e+00 1.01e-01 -3.8 1.42e-02 0.9 1.00e+00 1.00e+00f 1 8 1.9999324e-02 0.00e+00 8.74e-02 -3.8 4.58e-02 0.4 1.00e+00 4.94e-01f 1 9 1.9515716e-02 0.00e+00 1.54e-02 -3.8 2.43e-03 0.8 1.00e+00 1.00e+00f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.9807318e-02 0.00e+00 3.10e-03 -3.8 1.47e-03 0.3 1.00e+00 1.00e+00f 1 11 1.9849611e-02 0.00e+00 1.19e-03 -3.8 2.12e-04 0.7 1.00e+00 1.00e+00f 1 12 1.9987271e-02 0.00e+00 1.03e-02 -5.7 6.90e-04 1.2 1.00e+00 1.00e+00f 1 13 1.9999047e-02 0.00e+00 2.94e-04 -5.7 5.89e-05 0.7 1.00e+00 1.00e+00f 1 14 1.9998157e-02 0.00e+00 5.93e-05 -5.7 4.45e-06 1.1 1.00e+00 1.00e+00f 1 15 1.9998159e-02 0.00e+00 3.37e-08 -5.7 7.59e-09 0.6 1.00e+00 1.00e+00f 1 16 2.0000000e-02 0.00e+00 1.09e-04 -8.6 9.20e-06 1.1 1.00e+00 1.00e+00f 1 17 2.0000001e-02 0.00e+00 3.11e-08 -8.6 7.87e-09 0.6 1.00e+00 1.00e+00f 1 18 2.0000001e-02 0.00e+00 6.77e-11 -8.6 6.43e-12 1.0 1.00e+00 1.00e+00f 1 Number of Iterations....: 18 (scaled) (unscaled) Objective...............: -2.0000001094096831e-02 2.0000001094096831e-02 Dual infeasibility......: 6.7676170223407439e-11 6.7676170223407439e-11 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059035671693724e-09 2.5059035671693724e-09 Overall NLP error.......: 2.5059035671693724e-09 2.5059035671693724e-09 Number of objective function evaluations = 25 Number of objective gradient evaluations = 19 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 25 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.010 EXIT: Optimal Solution Found. This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.2. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 2 Number of nonzeros in Lagrangian Hessian.............: 2 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.9602000e+00 1.78e+00 6.53e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.9076042e+00 1.75e+00 7.60e-01 -1.0 7.19e-01 - 2.20e-02 2.48e-02h 1 2 1.1123524e-02 0.00e+00 1.84e+00 -1.0 9.02e-01 0.0 5.22e-01 1.00e+00h 1 3 8.3143500e-03 0.00e+00 2.88e+00 -1.0 8.08e-02 - 9.99e-01 2.50e-01f 3 4 8.8450089e-03 0.00e+00 1.00e-06 -1.0 4.05e-03 - 1.00e+00 1.00e+00f 1 5 9.3791020e-03 0.00e+00 5.64e-03 -2.5 3.96e-03 - 9.96e-01 1.00e+00f 1 6 1.3310991e-02 0.00e+00 6.99e-02 -3.8 2.62e-02 0.4 1.00e+00 1.00e+00f 1 7 1.5735347e-02 0.00e+00 1.01e-01 -3.8 1.42e-02 0.9 1.00e+00 1.00e+00f 1 8 1.9999324e-02 0.00e+00 8.74e-02 -3.8 4.58e-02 0.4 1.00e+00 4.94e-01f 1 9 1.9515716e-02 0.00e+00 1.54e-02 -3.8 2.43e-03 0.8 1.00e+00 1.00e+00f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.9807318e-02 0.00e+00 3.10e-03 -3.8 1.47e-03 0.3 1.00e+00 1.00e+00f 1 11 1.9849611e-02 0.00e+00 1.19e-03 -3.8 2.12e-04 0.7 1.00e+00 1.00e+00f 1 12 1.9987271e-02 0.00e+00 1.03e-02 -5.7 6.90e-04 1.2 1.00e+00 1.00e+00f 1 13 1.9999047e-02 0.00e+00 2.94e-04 -5.7 5.89e-05 0.7 1.00e+00 1.00e+00f 1 14 1.9998157e-02 0.00e+00 5.93e-05 -5.7 4.45e-06 1.1 1.00e+00 1.00e+00f 1 15 1.9998159e-02 0.00e+00 3.37e-08 -5.7 7.59e-09 0.6 1.00e+00 1.00e+00f 1 16 2.0000000e-02 0.00e+00 1.09e-04 -8.6 9.20e-06 1.1 1.00e+00 1.00e+00f 1 17 2.0000001e-02 0.00e+00 3.11e-08 -8.6 7.87e-09 0.6 1.00e+00 1.00e+00f 1 18 2.0000001e-02 0.00e+00 6.77e-11 -8.6 6.43e-12 1.0 1.00e+00 1.00e+00f 1 Number of Iterations....: 18 (scaled) (unscaled) Objective...............: -2.0000001094096831e-02 2.0000001094096831e-02 Dual infeasibility......: 6.7676170223407439e-11 6.7676170223407439e-11 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059035671693724e-09 2.5059035671693724e-09 Overall NLP error.......: 2.5059035671693724e-09 2.5059035671693724e-09 Number of objective function evaluations = 25 Number of objective gradient evaluations = 19 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 25 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.009 EXIT: Optimal Solution Found. Test Summary: | Pass Total Time Results | 3 3 2.4s Testing NearOptimalAlternatives tests passed Testing completed after 168.08s PkgEval succeeded after 242.6s