Package evaluation of SDDP on Julia 1.13.0-DEV.1265 (cd62cf9a08*) started at 2025-10-05T20:18:14.430 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 11.04s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Installed Bzip2_jll ──────────── v1.0.9+0 Installed CodecZlib ──────────── v0.7.8 Installed ConcurrentUtilities ── v2.5.0 Installed DiffResults ────────── v1.1.0 Installed MacroTools ─────────── v0.5.16 Installed ForwardDiff ────────── v1.2.1 Installed URIs ───────────────── v1.6.1 Installed DataStructures ─────── v0.19.1 Installed ExprTools ──────────── v0.1.10 Installed RecipesBase ────────── v1.3.4 Installed ExceptionUnwrapping ── v0.1.11 Installed Compat ─────────────── v4.18.1 Installed OrderedCollections ─── v1.8.1 Installed Statistics ─────────── v1.11.1 Installed TranscodingStreams ─── v0.11.3 Installed TimerOutputs ───────── v0.5.29 Installed StaticArraysCore ───── v1.4.3 Installed PrecompileTools ────── v1.3.3 Installed LoggingExtras ──────── v1.2.0 Installed OpenSSL ────────────── v1.5.0 Installed CommonSubexpressions ─ v0.3.1 Installed MbedTLS ────────────── v1.1.9 Installed IrrationalConstants ── v0.2.4 Installed CodecBzip2 ─────────── v0.8.5 Installed NaNMath ────────────── v1.1.3 Installed OpenSpecFun_jll ────── v0.5.6+0 Installed JSON3 ──────────────── v1.14.3 Installed HTTP ───────────────── v1.10.19 Installed BitFlags ───────────── v0.1.9 Installed DiffRules ──────────── v1.15.1 Installed LogExpFunctions ────── v0.3.29 Installed JuMP ───────────────── v1.29.1 Installed JSON ───────────────── v0.21.4 Installed Parsers ────────────── v2.8.3 Installed Reexport ───────────── v1.2.2 Installed SimpleBufferStream ─── v1.2.0 Installed SpecialFunctions ───── v2.6.1 Installed MutableArithmetics ─── v1.6.6 Installed Preferences ────────── v1.5.0 Installed JLLWrappers ────────── v1.7.1 Installed BenchmarkTools ─────── v1.6.0 Installed MbedTLS_jll ────────── v2.28.6+2 Installed StructTypes ────────── v1.11.0 Installed SDDP ───────────────── v1.13.0 Installed DocStringExtensions ── v0.9.5 Installed MathOptInterface ───── v1.45.0 Installing 3 artifacts Installed artifact OpenSpecFun 194.9 KiB Installed artifact Bzip2 503.5 KiB Installed artifact MbedTLS 2.1 MiB Updating `~/.julia/environments/v1.13/Project.toml` [f4570300] + SDDP v1.13.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.0 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [f0e56b4a] + ConcurrentUtilities v2.5.0 [864edb3b] + DataStructures v0.19.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.2.1 [cd3eb016] + HTTP v1.10.19 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.1 ⌅ [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.29.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.45.0 [739be429] + MbedTLS v1.1.9 [d8a4904e] + MutableArithmetics v1.6.6 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.5.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.0 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.6.1 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.6+2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [14a3606d] + MozillaCACerts_jll v2025.9.9 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+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 9.92s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 4989.9 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. Precompiling package dependencies... Precompilation completed after 693.92s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_vrcujd/Project.toml` [87dc4568] HiGHS v1.19.0 [b6b21f68] Ipopt v1.11.0 ⌅ [682c06a0] JSON v0.21.4 [7d188eb4] JSONSchema v1.4.1 [91a5bcdd] Plots v1.41.1 [f4570300] SDDP v1.13.0 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_vrcujd/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [6e4b80f9] BenchmarkTools v1.6.0 [d1d4a3ce] BitFlags v0.1.9 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.31.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [f0e56b4a] ConcurrentUtilities v2.5.0 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.1 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Testing Running tests... [ Info: Experimental.jl [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: Inner.jl Node: 3 - elapsed time: 0.1 plus 14.56 for vertex selection. Node: 2 - elapsed time: 0.03 plus 0.01 for vertex selection. Node: 1 - elapsed time: 0.03 plus 0.01 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 14.739016494000001 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/39RYL/src/Inner.jl:1048 Node: 19 - elapsed time: 0.07 plus 0.04 for vertex selection. Node: 18 - elapsed time: 0.13 plus 0.05 for vertex selection. Node: 17 - elapsed time: 0.15 plus 0.04 for vertex selection. Node: 16 - elapsed time: 0.14 plus 0.04 for vertex selection. Node: 15 - elapsed time: 0.14 plus 0.05 for vertex selection. Node: 14 - elapsed time: 0.19 plus 0.05 for vertex selection. Node: 13 - elapsed time: 0.15 plus 0.04 for vertex selection. Node: 12 - elapsed time: 0.14 plus 0.05 for vertex selection. Node: 11 - elapsed time: 0.17 plus 0.05 for vertex selection. Node: 10 - elapsed time: 0.14 plus 0.05 for vertex selection. Node: 9 - elapsed time: 0.15 plus 0.05 for vertex selection. Node: 8 - elapsed time: 0.14 plus 0.05 for vertex selection. Node: 7 - elapsed time: 0.15 plus 0.04 for vertex selection. Node: 6 - elapsed time: 0.14 plus 0.05 for vertex selection. Node: 5 - elapsed time: 0.13 plus 0.05 for vertex selection. Node: 4 - elapsed time: 0.14 plus 0.05 for vertex selection. Node: 3 - elapsed time: 0.14 plus 0.05 for vertex selection. Node: 2 - elapsed time: 0.14 plus 0.05 for vertex selection. Node: 1 - elapsed time: 0.15 plus 0.04 for vertex selection. Selection removed 500 vertices [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:401 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 5.637002e-02 4 1 3 0.000000e+00 0.000000e+00 5.967391e-01 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.967391e-01 total solves : 12 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 1 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [4, 4] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.100000e+05 1.075000e+05 2.538705e-02 9 1 20 7.500000e+04 1.075000e+05 6.539660e-01 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.539660e-01 total solves : 204 best bound : 1.075000e+05 simulation ci : 8.268750e+04 ± 1.084410e+04 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 [ Info: binary_expansion.jl [ Info: deterministic_equivalent.jl [ Info: modeling_aids.jl ┌ Warning: Budget for nodes is less than the number of stages. Using one node per stage. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/modeling_aids.jl:125 [ Info: user_interface.jl [ Info: backward_sampling_schemes.jl [ Info: bellman_functions.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.138889e+01 1.133466e+00 12 1 10 2.500000e+00 3.361111e+01 1.160909e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.160909e+00 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.083333e+01 1.456189e-02 12 1 10 2.500000e+00 3.361111e+01 3.658891e-02 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.658891e-02 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.083207e-02 46 1 50 0.000000e+00 1.191663e+02 5.289571e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.289571e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.077914e-02 46 1 50 0.000000e+00 1.191663e+02 5.318122e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.318122e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 7] JuMP.VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -4.650000e+01 -7.053967e+01 4.177327e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.927506e+00 309 1 4S -6.230988e+01 -6.688020e+01 7.968581e+00 412 1 6S -6.064080e+01 -6.678327e+01 9.168205e+00 618 1 15S -4.168889e+01 -6.677644e+01 1.508968e+01 1545 1 25S -4.168889e+01 -6.677644e+01 2.116779e+01 2575 1 35S -3.268889e+01 -6.677644e+01 2.700223e+01 3605 1 45S -4.168889e+01 -6.677644e+01 3.302922e+01 4635 1 55S -4.868889e+01 -6.677644e+01 3.906072e+01 5665 1 65S -4.168889e+01 -6.677644e+01 4.513102e+01 6695 1 75S -8.368889e+01 -6.677644e+01 5.113039e+01 7725 1 85S -6.068889e+01 -6.677644e+01 5.722735e+01 8755 1 95S -6.468889e+01 -6.677644e+01 6.328671e+01 9785 1 100 -8.368889e+01 -6.677644e+01 6.566993e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.566993e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- ****************************************************************************** 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 ****************************************************************************** [ Info: forward_passes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 3.000000e+00 6.000000e+00 1.712084e-03 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.712084e-03 total solves : 8 best bound : 6.000000e+00 simulation ci : 3.000000e+00 ± NaN numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 [ Info: local_improvement_search.jl [ Info: exp = 15 [ Info: OA(exp) = 220 [ Info: piecewise = 7 [ Info: OA(piecewise) = 6 [ Info: squared = 3 [ Info: OA(squared) = 16 [ Info: parallel_schemes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+00 6.000000e+00 3.128624e+02 2 2 20 7.000000e+00 6.000000e+00 3.179383e+02 40 2 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.179383e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 6.300000e+00 ± 9.963686e-01 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/algorithm.jl:1181 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : true options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [4e+00, 4e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 3.068371e-01 48 1 20 9.000000e+00 6.000000e+00 5.591352e-01 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.591352e-01 total solves : 162 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 9.633534e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/risk_measures.jl:528 [ Info: sampling_schemes.jl [ Info: stopping_rules.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 6.252050e-03 4 1 50 0.000000e+00 0.000000e+00 2.556751e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 2.556751e-01 total solves : 200 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/39RYL/src/plugins/stopping_rules.jl:132 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:49 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:751 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:49 [3] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:51 └ @ Core ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:51 test_SpaghettiPlot: Test Failed at /home/pkgeval/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:55 Expression: read("test.html", String) == read(control, String) Evaluated: "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" == "\n\n\n\n\n \n \n \n\n\n\n
\n \n\n\n\n\n" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:751 [inlined] [2] test_SpaghettiPlot() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:55 [3] macro expansion @ ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [5] runtests() @ Main.TestVisualization ~/.julia/packages/SDDP/39RYL/test/visualization/visualization.jl:17 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 7.335935e+00 5 1 20 0.000000e+00 -1.000000e+01 8.012031e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.012031e+00 total solves : 104 best bound : -1.000000e+01 simulation ci : -1.100000e+01 ± 4.474009e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: FAST_production_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -5.320000e+00 -2.396000e+01 2.914715e-02 52 1 10 -2.396000e+01 -2.396000e+01 3.765607e-02 92 1 15 -4.260000e+01 -2.396000e+01 4.593706e-02 132 1 20 -2.396000e+01 -2.396000e+01 5.635214e-02 172 1 25 -5.320000e+00 -2.396000e+01 7.041311e-02 224 1 30 -5.320000e+00 -2.396000e+01 8.348107e-02 264 1 35 -2.396000e+01 -2.396000e+01 9.765005e-02 304 1 40 -2.396000e+01 -2.396000e+01 1.119740e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.119740e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 453ms / 20.2% 12.8MiB / 60.1% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 54.4ms 59.4% 1.36ms 5.84MiB 75.9% 150KiB solve_subproblem 160 28.0ms 30.6% 175μs 711KiB 9.0% 4.44KiB get_dual_solution 160 1.45ms 1.6% 9.04μs 185KiB 2.3% 1.16KiB prepare_backward_pass 160 60.4μs 0.1% 377ns 0.00B 0.0% 0.00B forward_pass 40 26.8ms 29.3% 669μs 1.67MiB 21.7% 42.7KiB solve_subproblem 120 24.4ms 26.7% 203μs 1.50MiB 19.5% 12.8KiB get_dual_solution 120 45.6μs 0.0% 380ns 13.1KiB 0.2% 112B sample_scenario 40 497μs 0.5% 12.4μs 24.2KiB 0.3% 620B calculate_bound 40 10.3ms 11.3% 258μs 184KiB 2.3% 4.61KiB get_dual_solution 40 22.2μs 0.0% 554ns 4.38KiB 0.1% 112B get_dual_solution 36 13.5μs 0.0% 376ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -2.396000e+01 -2.396000e+01 6.212711e-02 52 1 10 -2.396000e+01 -2.396000e+01 7.136798e-02 92 1 15 -2.396000e+01 -2.396000e+01 8.219504e-02 132 1 20 -4.260000e+01 -2.396000e+01 9.350920e-02 172 1 25 -5.320000e+00 -2.396000e+01 1.106091e-01 224 1 30 -2.396000e+01 -2.396000e+01 1.281500e-01 264 1 35 -2.396000e+01 -2.396000e+01 1.470852e-01 304 1 40 -5.320000e+00 -2.396000e+01 1.671171e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.671171e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 177ms / 84.2% 14.6MiB / 94.1% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 112ms 75.2% 2.81ms 11.9MiB 86.5% 305KiB solve_subproblem 160 27.8ms 18.6% 174μs 712KiB 5.1% 4.45KiB get_dual_solution 160 1.37ms 0.9% 8.57μs 185KiB 1.3% 1.16KiB prepare_backward_pass 160 66.2μs 0.0% 414ns 0.00B 0.0% 0.00B forward_pass 40 25.8ms 17.3% 644μs 1.67MiB 12.1% 42.7KiB solve_subproblem 120 23.4ms 15.7% 195μs 1.50MiB 10.9% 12.8KiB get_dual_solution 120 45.0μs 0.0% 375ns 13.1KiB 0.1% 112B sample_scenario 40 507μs 0.3% 12.7μs 24.3KiB 0.2% 623B calculate_bound 40 11.2ms 7.5% 281μs 186KiB 1.3% 4.66KiB get_dual_solution 40 18.5μs 0.0% 463ns 4.38KiB 0.0% 112B get_dual_solution 36 12.6μs 0.0% 350ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── [ Info: FAST_quickstart.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 4] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 5e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 -2.500000e+00 1.906080e-01 5 1 2 -2.500000e+00 -2.000000e+00 1.927559e-01 14 1 3 -1.000000e+00 -2.000000e+00 1.938140e-01 19 1 4 -1.000000e+00 -2.000000e+00 1.945329e-01 24 1 5 -1.000000e+00 -2.000000e+00 1.958261e-01 29 1 6 -3.000000e+00 -2.000000e+00 1.965749e-01 34 1 7 -1.000000e+00 -2.000000e+00 1.976390e-01 39 1 8 -1.000000e+00 -2.000000e+00 1.984260e-01 44 1 9 -3.000000e+00 -2.000000e+00 1.994829e-01 49 1 10 -1.000000e+00 -2.000000e+00 2.011800e-01 54 1 11 -3.000000e+00 -2.000000e+00 2.028830e-01 59 1 12 -3.000000e+00 -2.000000e+00 2.040820e-01 64 1 13 -1.000000e+00 -2.000000e+00 2.056270e-01 69 1 14 -1.000000e+00 -2.000000e+00 2.065830e-01 74 1 15 -3.000000e+00 -2.000000e+00 2.083881e-01 79 1 16 -1.000000e+00 -2.000000e+00 2.102029e-01 84 1 17 -3.000000e+00 -2.000000e+00 2.112870e-01 89 1 18 -3.000000e+00 -2.000000e+00 2.124729e-01 94 1 19 -1.000000e+00 -2.000000e+00 2.138031e-01 99 1 20 -3.000000e+00 -2.000000e+00 2.147310e-01 104 1 21 -1.000000e+00 -2.000000e+00 2.175519e-01 113 1 22 -1.000000e+00 -2.000000e+00 2.187970e-01 118 1 23 -3.000000e+00 -2.000000e+00 2.197609e-01 123 1 24 -3.000000e+00 -2.000000e+00 2.208490e-01 128 1 25 -1.000000e+00 -2.000000e+00 2.229810e-01 133 1 26 -3.000000e+00 -2.000000e+00 2.250371e-01 138 1 27 -3.000000e+00 -2.000000e+00 2.270200e-01 143 1 28 -1.000000e+00 -2.000000e+00 2.281730e-01 148 1 29 -3.000000e+00 -2.000000e+00 2.294121e-01 153 1 30 -3.000000e+00 -2.000000e+00 2.313700e-01 158 1 31 -1.000000e+00 -2.000000e+00 2.333329e-01 163 1 32 -1.000000e+00 -2.000000e+00 2.345049e-01 168 1 33 -1.000000e+00 -2.000000e+00 2.356439e-01 173 1 34 -3.000000e+00 -2.000000e+00 2.368169e-01 178 1 35 -1.000000e+00 -2.000000e+00 2.380250e-01 183 1 36 -3.000000e+00 -2.000000e+00 2.392340e-01 188 1 37 -1.000000e+00 -2.000000e+00 2.404640e-01 193 1 38 -1.000000e+00 -2.000000e+00 2.417281e-01 198 1 39 -1.000000e+00 -2.000000e+00 2.430410e-01 203 1 40 -1.000000e+00 -2.000000e+00 2.443299e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.443299e-01 total solves : 208 best bound : -2.000000e+00 simulation ci : -1.812500e+00 ± 3.171441e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: Hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+00] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.000000e+01 1.882708e+01 2.994089e-01 51 1 21 8.151871e+01 2.236176e+02 1.320750e+00 3723 1 30 2.138334e+03 2.336430e+02 2.921920e+00 7674 1 38 8.025312e+02 2.352957e+02 4.194553e+00 10194 1 46 1.737622e+02 2.358930e+02 5.271359e+00 12054 1 57 6.154394e+01 2.360915e+02 6.312359e+00 13671 1 63 1.493193e+03 2.362190e+02 7.968025e+00 15909 1 72 1.044387e+02 2.362973e+02 9.053097e+00 17364 1 98 5.715017e+02 2.364082e+02 1.418381e+01 23094 1 100 4.969839e+02 2.364135e+02 1.502031e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.502031e+01 total solves : 23928 best bound : 2.364135e+02 simulation ci : 2.345669e+02 ± 6.032770e+01 numeric issues : 0 ------------------------------------------------------------------- On average, 2.1 units of thermal are used in the first stage. [ Info: StochDynamicProgramming.jl_multistock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 3 scenarios : 1.43489e+07 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [13, 13] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 5e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.977586e+00 -4.446713e+00 8.503149e-01 1400 1 20 -4.764789e+00 -4.394789e+00 1.142950e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.469878e+00 4200 1 40 -4.483495e+00 -4.370632e+00 1.802463e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.128965e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.451201e+00 8400 1 70 -4.849916e+00 -4.355337e+00 2.780221e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.121965e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.466077e+00 12600 1 100 -4.539897e+00 -4.348641e+00 3.830304e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.830304e+00 total solves : 14000 best bound : -4.348641e+00 simulation ci : -4.325070e+00 ± 8.068871e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StochDynamicProgramming.jl_stock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 1 scenarios : 1.00000e+05 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 2e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -1.671715e+00 -1.476962e+00 4.549279e-01 1050 1 20 -1.529197e+00 -1.471817e+00 5.513029e-01 1600 1 30 -1.410768e+00 -1.471408e+00 7.556860e-01 2650 1 40 -1.596461e+00 -1.471258e+00 8.575690e-01 3200 1 50 -1.002277e+00 -1.471216e+00 1.069192e+00 4250 1 60 -1.085156e+00 -1.471164e+00 1.170645e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.390214e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.501803e+00 6400 1 90 -1.488989e+00 -1.471087e+00 1.723855e+00 7450 1 100 -1.564260e+00 -1.471075e+00 1.845552e+00 8000 1 110 -1.738157e+00 -1.471075e+00 1.971112e+00 8550 1 120 -1.591292e+00 -1.471075e+00 2.093535e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.216426e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.350215e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.487042e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.630415e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.770391e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.912186e+00 12400 1 182 -9.083563e-01 -1.471075e+00 2.938855e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.938855e+00 total solves : 12510 best bound : -1.471075e+00 simulation ci : -1.462065e+00 ± 2.699238e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_2stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 2 state variables : 4 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+06] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.455904e+05 3.147347e+05 3.592896e-02 54 1 20 3.336455e+05 3.402383e+05 4.948997e-02 104 1 30 3.993519e+05 3.403155e+05 6.250501e-02 158 1 40 3.337559e+05 3.403155e+05 7.398105e-02 208 1 48 3.337559e+05 3.403155e+05 8.499694e-02 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.499694e-02 total solves : 248 best bound : 3.403155e+05 simulation ci : 1.298444e+08 ± 1.785864e+08 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_3stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+05] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.403329e+05 3.509666e+05 4.151106e-02 92 1 20 4.506600e+05 4.054833e+05 6.534410e-02 172 1 30 3.959476e+05 4.067125e+05 8.795118e-02 264 1 40 4.497721e+05 4.067125e+05 1.089182e-01 344 1 47 3.959476e+05 4.067125e+05 1.258101e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.258101e-01 total solves : 400 best bound : 4.067125e+05 simulation ci : 2.696242e+07 ± 3.645299e+07 numeric issues : 0 ------------------------------------------------------------------- [ Info: agriculture_mccardle_farm.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 10 state variables : 4 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [24, 24] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 6] VariableRef in MOI.GreaterThan{Float64} : [20, 20] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 8e+01] objective range [1e+00, 1e+03] bounds range [6e+01, 6e+01] rhs range [2e+02, 3e+03] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 8.316000e+03 0.000000e+00 6.760310e+00 14 1 40 2.308500e+03 4.074139e+03 7.676626e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.676626e+00 total solves : 776 best bound : 4.074139e+03 simulation ci : 4.224313e+03 ± 6.692189e+02 numeric issues : 0 ------------------------------------------------------------------- [ Info: air_conditioning.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 7.000000e+04 6.250000e+04 2.458797e+00 8 1 6L 4.000000e+04 6.250000e+04 3.514141e+00 60 1 15L 9.500000e+04 6.250000e+04 4.516172e+00 132 1 20L 6.000000e+04 6.250000e+04 5.399598e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.399598e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.475000e+04 ± 7.336233e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 1.793814e-02 8 1 16 4.000000e+04 6.250000e+04 1.054878e+00 140 1 20 4.000000e+04 6.250000e+04 1.315375e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.315375e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.950000e+04 ± 8.933885e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). [ Info: air_conditioning_forward.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [1e+02, 3e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 6.891894e-02 5 1 10 4.000000e+04 6.250000e+04 7.442629e-01 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.442629e-01 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 3.711660e-01 6 1 20L 9.000000e+00 9.000000e+00 4.928081e-01 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.928081e-01 total solves : 123 best bound : 9.000000e+00 simulation ci : 8.850000e+00 ± 2.940000e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_simple.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 1.098583e+00 87 1 10 -1.109375e+01 2.605769e-01 1.112069e+00 142 1 15 3.105797e+00 5.434132e-01 1.125959e+00 197 1 20 -2.463349e+01 1.503415e+00 1.140006e+00 252 1 25 -1.421085e-14 1.514085e+00 1.154892e+00 307 1 30 4.864000e+01 1.514085e+00 3.369494e+00 394 1 35 4.864000e+01 1.514085e+00 3.386294e+00 449 1 40 -8.870299e+00 1.514085e+00 3.402341e+00 504 1 45 -1.428571e+00 1.514085e+00 3.418609e+00 559 1 48 -1.428571e+00 1.514085e+00 3.429361e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.429361e+00 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 9.831321e-01 278 1 20 1.440356e+01 1.278425e+00 1.024860e+00 428 1 30 8.388546e+00 1.278425e+00 1.093222e+00 706 1 40 6.666667e-03 1.278410e+00 1.136072e+00 856 1 50 -5.614035e+00 1.278410e+00 1.207805e+00 1134 1 60 1.426676e+01 1.278410e+00 1.257474e+00 1284 1 64 1.261296e+01 1.278410e+00 1.278587e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.278587e+00 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 1.031070e-01 278 1 20 1.111084e+01 1.278410e+00 1.552141e-01 428 1 30 2.293779e+01 1.278410e+00 2.468271e-01 706 1 40 1.426676e+01 1.278410e+00 3.326919e-01 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.326919e-01 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.787277e+00 9.346930e+00 6.035132e+00 900 1 20 6.374753e+00 1.361934e+01 6.421628e+00 1720 1 30 2.848217e+01 1.624016e+01 7.407044e+00 3036 1 40 1.973944e+01 1.776547e+01 8.367726e+00 4192 1 50 4.000000e+00 1.889360e+01 9.224174e+00 5020 1 60 1.142478e+01 1.907862e+01 1.014767e+01 5808 1 70 9.386421e+00 1.961295e+01 1.111015e+01 6540 1 80 5.667851e+01 1.890911e+01 1.186553e+01 7088 1 90 3.740597e+01 1.993139e+01 1.352121e+01 8180 1 100 9.867183e+00 2.001688e+01 1.425051e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.425051e+01 total solves : 8664 best bound : 2.001688e+01 simulation ci : 2.301336e+01 ± 4.670816e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 3.050885e+00 36 1 10 0.000000e+00 0.000000e+00 3.089393e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.089393e+00 total solves : 360 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 6.134033e-03 407 1 10 2.850000e+02 5.728212e+02 5.878091e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.878091e-02 total solves : 731 best bound : 5.728212e+02 simulation ci : 6.480000e+02 ± 1.400040e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 13] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.150000e+02 3.347014e+02 6.187916e-03 778 1 10 2.825000e+02 3.465177e+02 6.344700e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.344700e-02 total solves : 1102 best bound : 3.465177e+02 simulation ci : 3.598954e+02 ± 6.281469e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 6.187201e-03 1149 1 10 2.587500e+02 2.052799e+02 5.764222e-02 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.764222e-02 total solves : 1473 best bound : 2.052799e+02 simulation ci : 2.206923e+02 ± 2.764045e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 24] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.375000e+02 4.637735e+02 7.052183e-03 1520 1 10 2.875000e+02 4.661908e+02 6.783819e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.783819e-02 total solves : 1844 best bound : 4.661908e+02 simulation ci : 5.075000e+02 ± 1.503394e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 6.602049e-03 1891 1 10 1.000000e+02 1.129771e+02 5.812716e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.812716e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 7.202148e-03 2262 1 10 1.625000e+02 2.794553e+02 6.626415e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.626415e-02 total solves : 2586 best bound : 2.794553e+02 simulation ci : 2.690625e+02 ± 6.720434e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 37] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.810804e+02 4.073537e+02 7.776976e-03 2633 1 10 5.487500e+02 4.077574e+02 7.084894e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.084894e-02 total solves : 2957 best bound : 4.077574e+02 simulation ci : 3.863418e+02 ± 9.936379e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 8.020878e-03 3004 1 10 6.771875e+02 5.210100e+02 7.230806e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.230806e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 7.377148e-03 3375 1 10 5.312500e+01 5.938345e+01 6.274796e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.274796e-02 total solves : 3699 best bound : 5.938345e+01 simulation ci : 6.187500e+01 ± 1.306667e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: booking_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [10, 10] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.GreaterThan{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 6] VariableRef in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.ZeroOne : [5, 5] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 8.000000e+00 9.440450e+00 1.431123e+00 235 1 10 1.000000e+01 9.159200e+00 1.905054e+00 310 1 15 1.000000e+01 9.159200e+00 2.444148e+00 385 1 20 1.000000e+01 9.159200e+00 2.953686e+00 460 1 25 1.000000e+01 9.159200e+00 5.804080e+00 695 1 30 4.000000e+00 9.159200e+00 6.290063e+00 770 1 35 1.000000e+01 9.159200e+00 6.764047e+00 845 1 40 1.000000e+01 9.159200e+00 7.315252e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.315252e+00 total solves : 920 best bound : 9.159200e+00 simulation ci : 7.200000e+00 ± 8.485598e-01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 2.16000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [18, 18] AffExpr in MOI.EqualTo{Float64} : [4, 4] AffExpr in MOI.GreaterThan{Float64} : [4, 4] AffExpr in MOI.LessThan{Float64} : [12, 12] VariableRef in MOI.EqualTo{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [9, 10] VariableRef in MOI.LessThan{Float64} : [10, 10] VariableRef in MOI.ZeroOne : [9, 9] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+00, 2e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.000000e+00 6.959189e+00 1.311871e+00 510 1 20 1.000000e+01 6.834387e+00 2.882876e+00 720 1 30 7.000000e+00 6.834387e+00 6.688876e+00 1230 1 40 1.000000e+01 6.823805e+00 8.292823e+00 1440 1 50 3.000000e+00 6.823805e+00 1.236945e+01 1950 1 60 2.000000e+00 6.823805e+00 1.401886e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.401886e+01 total solves : 2160 best bound : 6.823805e+00 simulation ci : 6.183333e+00 ± 6.694539e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: generation_expansion.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.299676e+06 2.074407e+06 1.363390e+01 920 1 20 6.049875e+06 2.075240e+06 1.640249e+01 1340 1 30 5.496647e+05 2.078257e+06 2.937906e+01 2260 1 40 3.985383e+04 2.078257e+06 3.210462e+01 2680 1 50 2.994548e+05 2.078257e+06 4.521403e+01 3600 1 60 3.799457e+06 2.078257e+06 4.809605e+01 4020 1 61 3.549665e+06 2.078257e+06 4.836708e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.836708e+01 total solves : 4062 best bound : 2.078257e+06 simulation ci : 2.437601e+06 ± 5.082681e+05 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10L 2.049870e+06 2.079457e+06 3.404783e+01 920 1 20L 2.799668e+06 2.079457e+06 5.577278e+01 1340 1 30L 3.799443e+06 2.079457e+06 8.855247e+01 2260 1 40L 4.299882e+06 2.079457e+06 1.103156e+02 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.103156e+02 total solves : 2680 best bound : 2.079457e+06 simulation ci : 1.602238e+06 ± 4.944385e+05 numeric issues : 0 ------------------------------------------------------------------- [ Info: hydro_valley.jl [ Info: infinite_horizon_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.188534e+02 2.371888e+00 1914 1 200 0.000000e+00 1.191645e+02 2.751156e+00 3840 1 300 7.500000e+01 1.191666e+02 3.176868e+00 5738 1 328 2.500000e+00 1.191667e+02 3.263725e+00 6034 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.263725e+00 total solves : 6034 best bound : 1.191667e+02 simulation ci : 2.272866e+01 ± 3.596240e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 128.14 ± 13.91 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 100 1.000000e+01 1.191232e+02 5.909991e-01 2806 1 200 0.000000e+00 1.191666e+02 1.036343e+00 4749 1 287 5.000000e+00 1.191667e+02 1.374260e+00 5662 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.374260e+00 total solves : 5662 best bound : 1.191667e+02 simulation ci : 2.112369e+01 ± 3.684376e+00 numeric issues : 0 ------------------------------------------------------------------- Confidence_interval = 122.02 ± 14.06 [ Info: infinite_horizon_trivial.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 2.000000e+01 1.998872e+01 1.475399e-01 1033 1 20 8.000000e+00 2.000000e+01 1.758718e-01 1209 1 30 1.200000e+01 2.000000e+01 3.124700e-01 2304 1 40 3.000000e+01 2.000000e+01 3.983879e-01 2594 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.983879e-01 total solves : 2594 best bound : 2.000000e+01 simulation ci : 1.970000e+01 ± 4.721453e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: inner_hydro_1d.jl Building and solving primal outer model for lower bounds ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : 1.00000e+03 existing cuts : false options solver : serial mode risk measure : A convex combination of 0.5 * SDDP.Expectation() + 0.5 * SDDP.AVaR(0.2) sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+01] bounds range [2e+01, 2e+02] rhs range [8e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.948878e+03 2.847167e+03 7.884598e-02 35 1 10 7.500000e+02 2.935390e+03 1.434700e-01 350 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.434700e-01 total solves : 350 best bound : 2.935390e+03 simulation ci : 1.544902e+03 ± 5.533339e+02 numeric issues : 0 ------------------------------------------------------------------- Building and solving inner model for upper bounds: Node: 3 - elapsed time: 0.22 plus 0.66 for vertex selection. Node: 2 - elapsed time: 0.03 plus 0.01 for vertex selection. Node: 1 - elapsed time: 0.02 plus 0.01 for vertex selection. First-stage upper bound: 2969.680973503913 Total time for upper bound: 0.9586416010000001 Bounds: Risk-neutral confidence interval: 1411.99 ± 82.02 Risk-adjusted lower bound: 2935.39 Risk-adjusted upper bound: 2969.68 [ Info: no_strong_duality.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.000000e+00 1.500000e+00 5.723000e-03 3 1 40 2.000000e+00 2.000000e+00 8.360887e-02 604 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.360887e-02 total solves : 604 best bound : 2.000000e+00 simulation ci : 2.150000e+00 ± 5.038753e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: objective_state_newsvendor.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.675000e+00 4.115510e+00 8.299470e-01 1350 1 20 5.062500e+00 4.110713e+00 1.023659e+00 2700 1 30 4.500000e+00 4.104200e+00 1.203033e+00 4050 1 40 3.812500e+00 4.102669e+00 1.397878e+00 5400 1 50 4.725000e+00 4.095504e+00 1.599008e+00 6750 1 60 4.050000e+00 4.092999e+00 1.816212e+00 8100 1 70 4.606250e+00 4.091524e+00 2.025224e+00 9450 1 80 3.875000e+00 4.089694e+00 2.224904e+00 10800 1 90 3.750000e+00 4.089490e+00 2.446484e+00 12150 1 100 5.125000e+00 4.087894e+00 2.664201e+00 13500 1 110 4.500000e+00 4.087478e+00 3.027817e+00 14850 1 120 3.650000e+00 4.086704e+00 3.310268e+00 16200 1 130 4.406250e+00 4.086063e+00 3.588280e+00 17550 1 140 3.375000e+00 4.085981e+00 3.777712e+00 18900 1 150 3.000000e+00 4.085945e+00 3.971774e+00 20250 1 160 3.812500e+00 4.085838e+00 4.164073e+00 21600 1 170 4.250000e+00 4.085728e+00 4.394730e+00 22950 1 180 3.243750e+00 4.085593e+00 4.677738e+00 24300 1 190 4.306250e+00 4.085487e+00 4.942022e+00 25650 1 200 5.237500e+00 4.085446e+00 5.241252e+00 27000 1 210 4.500000e+00 4.085441e+00 5.522925e+00 28350 1 220 3.612500e+00 4.085405e+00 5.821692e+00 29700 1 230 3.700000e+00 4.085382e+00 6.113889e+00 31050 1 240 3.437500e+00 4.085254e+00 6.376493e+00 32400 1 250 4.100000e+00 4.085115e+00 6.658170e+00 33750 1 260 3.000000e+00 4.084973e+00 6.952240e+00 35100 1 270 4.918750e+00 4.084943e+00 7.260228e+00 36450 1 280 2.756250e+00 4.084920e+00 7.573790e+00 37800 1 290 3.737500e+00 4.084868e+00 7.902568e+00 39150 1 300 5.750000e+00 4.084868e+00 8.249526e+00 40500 1 310 5.156250e+00 4.084858e+00 8.580328e+00 41850 1 320 3.131250e+00 4.084855e+00 8.901944e+00 43200 1 330 4.125000e+00 4.084846e+00 9.250207e+00 44550 1 340 5.875000e+00 4.084820e+00 9.597564e+00 45900 1 350 4.587500e+00 4.084810e+00 9.920036e+00 47250 1 360 5.087500e+00 4.084805e+00 1.025319e+01 48600 1 370 4.393750e+00 4.084802e+00 1.059635e+01 49950 1 380 4.750000e+00 4.084792e+00 1.093959e+01 51300 1 390 4.437500e+00 4.084785e+00 1.128224e+01 52650 1 400 4.181250e+00 4.084785e+00 1.162189e+01 54000 1 410 3.650000e+00 4.084777e+00 1.199533e+01 55350 1 420 3.750000e+00 4.084769e+00 1.237528e+01 56700 1 430 3.725000e+00 4.084762e+00 1.274360e+01 58050 1 440 4.218750e+00 4.084751e+00 1.324374e+01 59400 1 450 5.500000e+00 4.084751e+00 1.359716e+01 60750 1 460 3.637500e+00 4.084747e+00 1.392575e+01 62100 1 470 2.993750e+00 4.084743e+00 1.425607e+01 63450 1 480 5.237500e+00 4.084743e+00 1.460045e+01 64800 1 490 4.212500e+00 4.084743e+00 1.490948e+01 66150 1 500 3.843750e+00 4.084743e+00 1.522247e+01 67500 1 510 3.425000e+00 4.084743e+00 1.552665e+01 68850 1 520 4.293750e+00 4.084743e+00 1.582769e+01 70200 1 530 2.818750e+00 4.084740e+00 1.615930e+01 71550 1 540 4.668750e+00 4.084740e+00 1.647551e+01 72900 1 550 2.750000e+00 4.084740e+00 1.679019e+01 74250 1 560 4.100000e+00 4.084740e+00 1.717195e+01 75600 1 570 3.200000e+00 4.084738e+00 1.753635e+01 76950 1 580 3.525000e+00 4.084738e+00 1.788073e+01 78300 1 590 3.125000e+00 4.084738e+00 1.818607e+01 79650 1 600 4.875000e+00 4.084736e+00 1.856054e+01 81000 1 610 4.050000e+00 4.084736e+00 1.890725e+01 82350 1 620 4.750000e+00 4.084733e+00 1.926772e+01 83700 1 630 3.687500e+00 4.084733e+00 1.964044e+01 85050 1 640 3.875000e+00 4.084733e+00 2.002781e+01 86400 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.002781e+01 total solves : 86400 best bound : 4.084733e+00 simulation ci : 4.077646e+00 ± 5.957347e-02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-25 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.51840e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 3] AffExpr in MOI.LessThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [8e-01, 2e+00] objective range [1e+00, 2e+00] bounds range [1e+00, 1e+02] rhs range [5e+01, 5e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.437500e+00 5.043445e+00 4.329538e-01 1350 1 20 3.000000e+00 4.741726e+00 1.175683e+00 2700 1 30 3.018750e+00 4.059070e+00 2.297868e+00 4050 1 40 3.375000e+00 4.057143e+00 3.705966e+00 5400 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1045 running 1 of 1 signal (10): User defined signal 1 _ZN4HEkk25computeDualObjectiveValueEi at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN8HEkkDual7rebuildEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN8HEkkDual11solvePhase2Ev at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN8HEkkDual5solveEb at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN4HEkk5solveEb at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _Z14solveLpSimplexR19HighsLpSolverObject at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _Z7solveLpR19HighsLpSolverObjectNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs11callSolveLpER7HighsLpNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZZN5Highs13optimizeModelEvENKUlR7HighsLpRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERdE_clES1_S9_SA_.isra.499.lto_priv.3713 at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/gen/libhighs.jl:328 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/MOI_wrapper.jl:2236 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/MOI_wrapper.jl:2236 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/zq9bo/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/zq9bo/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x7413e61439f2) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/N7h14/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/N7h14/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:517 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:491 unknown function (ip: 0x7413e4664437) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 macro expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/forward_passes.jl:100 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:11 [inlined] forward_pass at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/forward_passes.jl:99 unknown function (ip: 0x7413e614baa4) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 iteration at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:965 #master_loop##0 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:50 disable_sigint at ./c.jl:167 [inlined] master_loop at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:49 unknown function (ip: 0x7413e6148301) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #train#91 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1291 train at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1116 [inlined] #newsvendor_example#210 at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/objective_state_newsvendor.jl:66 newsvendor_example at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/objective_state_newsvendor.jl:34 unknown function (ip: 0x7413e465ba02) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 include_string at ./loading.jl:2954 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3014 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:10 unknown function (ip: 0x7413e6120262) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 include_string at ./loading.jl:2954 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3014 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_56488.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 exec_options at ./client.jl:310 _start at ./client.jl:577 jfptr__start_42565.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x741414dd0249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== 50 ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 4.875000e+00Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007413fadfc010 Total snapshots: 71. Utilization: 100% ╎66 @Base/client.jl:577 _start() ╎ 66 @Base/client.jl:310 exec_options(opts::Base.JLOptions) ╎ 66 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ 66 @Base/Base.jl:311 (::Base.IncludeInto)(fname::String) ╎ 66 @Base/Base.jl:310 include(mapexpr::Function, mod::Module, _path::Str… ╎ 66 @Base/loading.jl:3014 _include(mapexpr::Function, mod::Module, _pat… ╎ ╎ 66 @Base/loading.jl:2954 include_string(mapexpr::typeof(identity), mo… ╎ ╎ 66 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ 66 …YL/test/runtests.jl:10 util_test_directory(dir::String) ╎ ╎ 66 …YL/test/runtests.jl:14 util_test_directory(dir::String, exclud… ╎ ╎ 66 @Test/src/Test.jl:1952 macro expansion ╎ ╎ ╎ 66 …L/test/runtests.jl:16 macro expansion ╎ ╎ ╎ 66 @Base/Base.jl:311 IncludeInto ╎ ╎ ╎ 66 @Base/Base.jl:310 include(mapexpr::Function, mod::Module, _… ╎ ╎ ╎ 66 @Base/loading.jl:3014 _include(mapexpr::Function, mod::Mod… ╎ ╎ ╎ 66 @Base/loading.jl:2954 include_string(mapexpr::typeof(iden… ╎ ╎ ╎ ╎ 66 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ ╎ ╎ 66 …te_newsvendor.jl:34 kwcall(::@NamedTuple{cut_type::SDD… ╎ ╎ ╎ ╎ 66 …e_newsvendor.jl:66 newsvendor_example(; cut_type::SDD… ╎ ╎ ╎ ╎ 66 @SDDP/…orithm.jl:1116 train ╎ ╎ ╎ ╎ 66 @SDDP/…orithm.jl:1291 train(model::SDDP.PolicyGraph{… ╎ ╎ ╎ ╎ ╎ 66 @SDDP/…chemes.jl:49 master_loop(::SDDP.Serial, mode… ╎ ╎ ╎ ╎ ╎ 66 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ 66 @SDDP/…hemes.jl:50 (::SDDP.var"#master_loop##0#ma… ╎ ╎ ╎ ╎ ╎ 5 @SDDP/…ithm.jl:965 iteration(model::SDDP.PolicyG… ╎ ╎ ╎ ╎ ╎ 5 @SDDP/…sses.jl:99 forward_pass(model::SDDP.Poli… ╎ ╎ ╎ ╎ ╎ ╎ 5 @SDDP/…ithm.jl:11 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ 5 @SDDP/…ses.jl:100 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ 5 @SDDP/…thm.jl:491 kwcall(::@NamedTuple{duali… ╎ ╎ ╎ ╎ ╎ ╎ 5 @SDDP/…hm.jl:517 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 5 @JuMP/…ce.jl:560 optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @JuMP/…ce.jl:609 optimize!(model::Model; … ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @MathOptInterface/…:379 optimize!(m::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @MathOptInterface/…:367 optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @HiGHS/…r.jl:2236 optimize!(model::HiG… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @HiGHS/…r.jl:2236 #47 5╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @HiGHS/…s.jl:328 Highs_run ╎ ╎ ╎ ╎ ╎ 31 @SDDP/…ithm.jl:969 iteration(model::SDDP.PolicyG… ╎ ╎ ╎ ╎ ╎ 19 @SDDP/…ithm.jl:675 backward_pass(model::SDDP.Po… ╎ ╎ ╎ ╎ ╎ ╎ 19 @SDDP/…ithm.jl:831 solve_all_children(model::S… ╎ ╎ ╎ ╎ ╎ ╎ 19 @SDDP/…thm.jl:491 kwcall(::@NamedTuple{dualit… ╎ ╎ ╎ ╎ ╎ ╎ 18 @SDDP/…thm.jl:517 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 18 @JuMP/…ce.jl:560 optimize! ╎ ╎ ╎ ╎ ╎ ╎ 18 @JuMP/…ce.jl:609 optimize!(model::Model; i… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 18 @MathOptInterface/…:379 optimize!(m::Math… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 18 @MathOptInterface/…:367 optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 18 @HiGHS/…r.jl:2236 optimize!(model::HiGH… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 18 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ ╎ ╎ 18 @HiGHS/…r.jl:2236 #47 17╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 18 @HiGHS/…s.jl:328 Highs_run ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…thm.jl:540 solve_subproblem(model::SD… 1╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:843 NamedTuple ╎ ╎ ╎ ╎ ╎ 12 @SDDP/…ithm.jl:688 backward_pass(model::SDDP.Po… ╎ ╎ ╎ ╎ ╎ ╎ 12 @SDDP/…ions.jl:415 refine_bellman_function(mod… ╎ ╎ ╎ ╎ ╎ ╎ 12 @SDDP/…ons.jl:470 _refine_bellman_function_no… ╎ ╎ ╎ ╎ ╎ ╎ 12 @SDDP/…ons.jl:539 _add_multi_cut(node::SDDP.… ╎ ╎ ╎ ╎ ╎ ╎ 12 @SDDP/…ons.jl:86 _add_cut(V::SDDP.ConvexApp… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:100 _add_cut(V::SDDP.ConvexAp… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:127 _add_cut_constraint_to_m… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…os.jl:402 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…nt.jl:173 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ts.jl:1039 add_constraint(model… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ts.jl:1016 _moi_add_constraint… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:566 add_constrai… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:2082 add_constr… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…r.jl:1778 add_constraint(m… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @HiGHS/…s.jl:1427 Highs_addRow ╎ ╎ ╎ ╎ ╎ ╎ 11 @SDDP/…ns.jl:102 _add_cut(V::SDDP.ConvexAp… 2╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @SDDP/…ns.jl:180 _cut_selection_update(V:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:196 _cut_selection_update(V:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ns.jl:124 _add_cut_constraint_to_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ve.jl:195 objective_sense 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…ce.jl:1209 get(model::Model, at… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @SDDP/…ns.jl:210 _cut_selection_update(V:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @JuMP/…ts.jl:570 delete(model::Model, co… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @MathOptInterface/…:724 delete(m::MathO… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @MathOptInterface/…:773 delete ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @HiGHS/…r.jl:1797 delete(model::HiGHS… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @Base/…ct.jl:66 iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @MathOptInterface/…:264 iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @OrderedCollections/…:455 iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @OrderedCollections/…:126 rehash! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @OrderedCollections/…:142 rehash… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 3 @Base/…ay.jl:622 zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 3 @Base/…ay.jl:626 zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 3 @Base/…ot.jl:661 Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 3 @Base/…ot.jl:648 Array 3╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 3 @Base/…ot.jl:588 GenericMemory ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:152 rehash… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ay.jl:406 similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…ot.jl:648 Array 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…ot.jl:588 GenericMemory ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @OrderedCollections/…:164 rehash… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 2 @Base/…on.jl:487 == 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 2 @Base/…on.jl:637 == ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:180 rehash… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ay.jl:1020 setindex! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…ay.jl:1025 _setindex! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @OrderedCollections/…:181 rehash… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ay.jl:1020 setindex! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…ay.jl:1025 _setindex! ╎ ╎ ╎ ╎ ╎ 30 @SDDP/…ithm.jl:979 iteration(model::SDDP.PolicyG… ╎ ╎ ╎ ╎ ╎ 30 @SDDP/…ithm.jl:880 kwcall(::@NamedTuple{risk_me… ╎ ╎ ╎ ╎ ╎ ╎ 30 @SDDP/…ithm.jl:880 calculate_bound ╎ ╎ ╎ ╎ ╎ ╎ 30 @SDDP/…thm.jl:920 calculate_bound(model::SDDP… ╎ ╎ ╎ ╎ ╎ ╎ 30 @SDDP/…thm.jl:491 kwcall(::@NamedTuple{duali… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:503 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:174 set_incoming_state(node::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:1220 fix ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:1226 fix(variable::Variable… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…es.jl:1239 _moi_fix(moi_backend:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:661 set ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:632 _replace_cons… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:67 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:182 getindex(d:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:106 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MathOptInterface/…:98 MathOptInt… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:550 haskey ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ct.jl:244 ht_keyindex(h::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…ct.jl:129 hashindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…ng.jl:34 hash ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…le.jl:574 hash 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Base/…le.jl:33 getindex ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:504 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…hm.jl:298 parameterize(node::SDDP.N… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …svendor.jl:63 (::var"#220#221"{Model, Va… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @SDDP/…ce.jl:1280 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MutableArithmetics/…:369 macro expansi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MutableArithmetics/…:115 operate!! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MutableArithmetics/…:655 operate_fal… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MutableArithmetics/…:43 operate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @MutableArithmetics/…:241 operate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…rs.jl:58 *(lhs::Float64, rh… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…pr.jl:84 _build_aff_expr(c… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @JuMP/…pr.jl:140 GenericAffExpr ╎ ╎ ╎ ╎ ╎ ╎ 28 @SDDP/…hm.jl:517 solve_subproblem(model::SD… ╎ ╎ ╎ ╎ ╎ ╎ 28 @JuMP/…ce.jl:560 optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @JuMP/…ce.jl:609 optimize!(model::Model; … ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @MathOptInterface/…:379 optimize!(m::Mat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @MathOptInterface/…:367 optimize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @HiGHS/…r.jl:2236 optimize!(model::HiG… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @HiGHS/…r.jl:2236 #47 28╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 28 @HiGHS/…s.jl:328 Highs_run 4.052626e+00 6.016064e+00 6750 1 60 3.562500e+00 4.040018e+00 1.383280e+01 8100 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1217 wait_forever at ./task.jl:1139 jfptr_wait_forever_63711.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] start_task at /source/src/task.c:1281 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== 70 4.125000e+00 4.039430e+00 1.764831e+01 9450 1 ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x0000781d72c931c0 Total snapshots: 424. Utilization: 0% ╎424 @Base/task.jl:1139 wait_forever() 423╎ 424 @Base/task.jl:1217 wait() 78 5.093750e+00 4.039395e+00 2.020714e+01 10530 1 ------------------------------------------------------------------- status : time_limit total time (s) : 2.020714e+01 total solves : 10530 best bound : 4.039395e+00 simulation ci : 4.091266e+00 ± 1.601698e-01 numeric issues : 0 ------------------------------------------------------------------- [1045] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/objective_state_newsvendor.jl:81 _ZN11HEkkDualRHS12updatePrimalEP11HVectorBaseIdEd at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN8HEkkDual12updatePrimalEP11HVectorBaseIdE at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN8HEkkDual7iterateEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN8HEkkDual11solvePhase2Ev at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN8HEkkDual5solveEb at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN4HEkk5solveEb at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _Z14solveLpSimplexR19HighsLpSolverObject at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _Z7solveLpR19HighsLpSolverObjectNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs11callSolveLpER7HighsLpNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZZN5Highs13optimizeModelEvENKUlR7HighsLpRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERdE_clES1_S9_SA_.isra.499.lto_priv.3713 at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs13optimizeModelEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) _ZN5Highs3runEv at /home/pkgeval/.julia/artifacts/47a06bffdeda3b990d140fa738e56944ef478765/lib/libhighs.so (unknown line) Highs_run at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/gen/libhighs.jl:328 [inlined] #47 at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/MOI_wrapper.jl:2236 [inlined] disable_sigint at ./c.jl:167 [inlined] optimize! at /home/pkgeval/.julia/packages/HiGHS/umjNf/src/MOI_wrapper.jl:2236 optimize! at /home/pkgeval/.julia/packages/MathOptInterface/zq9bo/src/Bridges/bridge_optimizer.jl:367 [inlined] optimize! at /home/pkgeval/.julia/packages/MathOptInterface/zq9bo/src/Utilities/cachingoptimizer.jl:379 unknown function (ip: 0x7413e61439f2) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #optimize!#96 at /home/pkgeval/.julia/packages/JuMP/N7h14/src/optimizer_interface.jl:609 optimize! at /home/pkgeval/.julia/packages/JuMP/N7h14/src/optimizer_interface.jl:560 [inlined] #solve_subproblem#78 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:517 solve_subproblem at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:491 unknown function (ip: 0x7413e4664437) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #_simulate#106 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1382 _simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1334 [inlined] #226 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:71 [inlined] iterate at ./generator.jl:48 [inlined] collect_to! at ./array.jl:886 [inlined] collect_to_with_first! at ./array.jl:864 [inlined] _collect at ./array.jl:858 collect_similar at ./array.jl:763 [inlined] map at ./abstractarray.jl:3392 [inlined] #_simulate#224 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:70 [inlined] _simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/plugins/parallel_schemes.jl:62 [inlined] #simulate#108 at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1551 [inlined] simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 simulate at /home/pkgeval/.julia/packages/SDDP/39RYL/src/algorithm.jl:1540 [inlined] #newsvendor_example#210 at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/objective_state_newsvendor.jl:73 newsvendor_example at /home/pkgeval/.julia/packages/SDDP/39RYL/docs/src/examples/objective_state_newsvendor.jl:34 unknown function (ip: 0x7413e465ba02) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 include_string at ./loading.jl:2954 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3014 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:16 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:14 util_test_directory at /home/pkgeval/.julia/packages/SDDP/39RYL/test/runtests.jl:10 unknown function (ip: 0x7413e6120262) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 include_string at ./loading.jl:2954 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3014 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_56488.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 exec_options at ./client.jl:310 _start at ./client.jl:577 jfptr__start_42565.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2271 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x741414dd0249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) Allocations: 600630559 (Pool: 600625072; Big: 5487); GC: 110 PkgEval terminated after 2758.07s: test duration exceeded the time limit