CUTEst Quadratic Optimization.jl Benchmarks

CUTEst Quadratic Optimization.jl Benchmarks

This benchmark runs CUTEst quadratic problems with linear constraints through the Optimization.jl interface using OptimizationNLPModels.

ENV["GKSwstype"] = "100"

using CUTEst
using DataFrames
using Plots
using StatsPlots
using StatsBase: countmap
using Statistics
using Printf

include(joinpath(isdefined(Main, :WEAVE_ARGS) ? WEAVE_ARGS[:folder] : @__DIR__,
    "cutest_benchmark_utils.jl"))

quadratic_linear_problems = select_safe_problems(
    collect(CUTEst.select_sif_problems(objtype = "quadratic", contype = "linear"))
)

println("Selected quadratic problems with linear constraints: ",
    length(quadratic_linear_problems))

quadratic_results = run_benchmarks(
    "quadratic linear",
    quadratic_linear_problems,
    CONSTRAINED_SOLVERS,
)

display(quadratic_results)
quadratic_summary = summarize_results(quadratic_results)

plot_solve_times(quadratic_results, "CUTEst quadratic Optimization.jl solve time")
plot_success_rates(quadratic_summary, "CUTEst quadratic Optimization.jl success rate")
Selected quadratic problems with linear constraints: 50

Running quadratic linear benchmarks
Problems: 50
Solvers: Ipopt
  Ipopt              PRIMALC1                
***************************************************************************
***
This program contains Ipopt, a library for large-scale nonlinear optimizati
on.
 Ipopt is released as open source code under the Eclipse Public License (EP
L).
         For more information visit https://github.com/coin-or/Ipopt
***************************************************************************
***

 OK Success 0.808s
  Ipopt              QPCBOEI1                 OK Success 1.629s
  Ipopt              DUAL2                    OK Success 0.169s
  Ipopt              HS35                     OK Success 0.012s
  Ipopt              AVGASB                   OK Success 0.015s
  Ipopt              QPNBOEI1                 OK Success 7.697s
  Ipopt              S268                     OK Success 0.190s
  Ipopt              DUALC5                   OK Success 0.061s
  Ipopt              DEGENQP                  OK Success 0.038s
  Ipopt              LEUVEN7                  OK MaxTime 90.090s
  Ipopt              PORTSNQP                 OK Success 0.014s
  Ipopt              DUAL3                    OK Success 0.104s
  Ipopt              GMNCASE4                 OK Success 0.169s
  Ipopt              NASH                     OK Infeasible 0.057s
  Ipopt              PRIMALC2                 OK Success 0.101s
  Ipopt              CVXQP1                   OK Success 0.063s
  Ipopt              PRIMAL1                  OK Success 0.079s
  Ipopt              QPCBLEND                 OK Success 0.084s
  Ipopt              PRIMALC5                 OK Success 0.163s
  Ipopt              QPCBOEI2                 OK Success 0.313s
  Ipopt              HS76                     OK Success 0.010s
  Ipopt              HS21                     OK Success 0.011s
  Ipopt              HATFLDH                  OK Success 0.014s
  Ipopt              TARGUS                   OK MaxIters 2.573s
  Ipopt              PRIMAL3                  OK Success 0.244s
  Ipopt              HS44                     OK Success 0.011s
  Ipopt              GMNCASE1                 OK Success 1.022s
  Ipopt              DUALC2                   OK Success 0.093s
  Ipopt              PRIMALC8                 OK Success 1.609s
  Ipopt              QPNBOEI2                 OK Success 0.334s
  Ipopt              STATIC3                  OK Failure 6.802s
  Ipopt              HS35MOD                  OK Success 0.022s
  Ipopt              TABLE7                   OK MaxIters 56.592s
  Ipopt              ZECEVIC2                 OK Success 0.011s
  Ipopt              QPNSTAIR                 OK Success 1.408s
  Ipopt              TAME                     OK Success 0.005s
  Ipopt              HS53                     OK Success 0.008s
  Ipopt              GENHS28                  OK Success 0.010s
  Ipopt              HS76I                    OK Success 0.012s
  Ipopt              DUALC1                   OK Success 0.130s
  Ipopt              PRIMAL2                  OK Success 0.221s
  Ipopt              DUAL1                    OK Success 0.441s
  Ipopt              CLEUVEN7                 OK MaxTime 90.419s
  Ipopt              QPCSTAIR                 OK Success 1.092s
  Ipopt              AVGASA                   OK Success 0.015s
  Ipopt              GOULDQP1                 OK Success 0.031s
  Ipopt              HS44NEW                  OK Success 0.011s
  Ipopt              DUALC8                   OK Success 0.142s
  Ipopt              LOTSCHD                  OK Success 0.017s
  Ipopt              DUAL4                    OK Success 0.078s
50×7 DataFrame
 Row │ category          problem   solver  n_vars  secs       retcode  stat
us
     │ String            String    String  Int64   Float64    String   Stri
ng
─────┼─────────────────────────────────────────────────────────────────────
───
   1 │ quadratic linear  PRIMALC1  Ipopt      230  0.807958   Success  OK
   2 │ quadratic linear  QPCBOEI1  Ipopt      384  1.62871    Success  OK
   3 │ quadratic linear  DUAL2     Ipopt       96  0.169402   Success  OK
   4 │ quadratic linear  HS35      Ipopt        3  0.0124919  Success  OK
   5 │ quadratic linear  AVGASB    Ipopt        8  0.0151391  Success  OK
   6 │ quadratic linear  QPNBOEI1  Ipopt      384  7.69742    Success  OK
   7 │ quadratic linear  S268      Ipopt        5  0.190065   Success  OK
   8 │ quadratic linear  DUALC5    Ipopt        8  0.0611038  Success  OK
  ⋮  │        ⋮             ⋮        ⋮       ⋮         ⋮         ⋮       ⋮
  44 │ quadratic linear  QPCSTAIR  Ipopt      467  1.09235    Success  OK
  45 │ quadratic linear  AVGASA    Ipopt        8  0.0145662  Success  OK
  46 │ quadratic linear  GOULDQP1  Ipopt       32  0.030654   Success  OK
  47 │ quadratic linear  HS44NEW   Ipopt        4  0.010668   Success  OK
  48 │ quadratic linear  DUALC8    Ipopt        8  0.142138   Success  OK
  49 │ quadratic linear  LOTSCHD   Ipopt       12  0.017416   Success  OK
  50 │ quadratic linear  DUAL4     Ipopt       75  0.0778801  Success  OK
                                                               35 rows omit
ted

Return code distribution:
  Success: 44
  MaxIters: 2
  MaxTime: 2
  Infeasible: 1
  Failure: 1

Summary:
1×8 DataFrame
 Row │ category          solver  completed_runs  successful_runs  total_run
s   ⋯
     │ String            String  Int64           Int64            Int64    
    ⋯
─────┼─────────────────────────────────────────────────────────────────────
─────
   1 │ quadratic linear  Ipopt               50               44          5
0   ⋯
                                                               3 columns om
itted

Appendix

These benchmarks are a part of the SciMLBenchmarks.jl repository, found at: https://github.com/SciML/SciMLBenchmarks.jl. For more information on high-performance scientific machine learning, check out the SciML Open Source Software Organization https://sciml.ai.

To locally run this benchmark, do the following commands:

using SciMLBenchmarks
SciMLBenchmarks.weave_file("benchmarks/OptimizationCUTEst","CUTEst_quadratic.jmd")

Computer Information:

Julia Version 1.12.7
Commit 6d172b025e4 (2026-08-15 08:05 UTC)
Build Info:
  Official https://julialang.org release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 128 × AMD EPYC 7502 32-Core Processor
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, znver2)
  GC: Built with stock GC
Threads: 128 default, 1 interactive, 128 GC (on 128 virtual cores)
Environment:
  JULIA_DEPOT_PATH = /home/crackauc/github-runners/amdci8-1/.julia
  JULIA_NUM_THREADS = auto

Package Information:

Status `~/github-runners/amdci8-1/_work/SciMLBenchmarks.jl/SciMLBenchmarks.jl/benchmarks/OptimizationCUTEst/Project.toml`
⌃ [1b53aba6] CUTEst v1.3.7
  [a93c6f00] DataFrames v1.8.2
⌃ [b6b21f68] Ipopt v1.14.3
⌃ [b8f27783] MathOptInterface v1.51.0
  [a4795742] NLPModels v0.21.12
⌃ [7f7a1694] Optimization v5.4.0
⌅ [fd9f6733] OptimizationMOI v0.5.11
⌃ [064b21be] OptimizationNLPModels v1.1.0
⌃ [36348300] OptimizationOptimJL v0.4.9
⌃ [42dfb2eb] OptimizationOptimisers v0.3.15
⌃ [91a5bcdd] Plots v1.41.6
⌃ [31c91b34] SciMLBenchmarks v0.1.3 [loaded: v0.2.1]
⌃ [10745b16] Statistics v1.11.1
⌃ [2913bbd2] StatsBase v0.34.10
  [f3b207a7] StatsPlots v0.15.8
  [de0858da] Printf v1.11.0
Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated`

And the full manifest:

Status `~/github-runners/amdci8-1/_work/SciMLBenchmarks.jl/SciMLBenchmarks.jl/benchmarks/OptimizationCUTEst/Manifest.toml`
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  [d7e528f0] FreeType2_jll v2.14.3+1
  [559328eb] FriBidi_jll v1.0.17+0
⌃ [0656b61e] GLFW_jll v3.4.1+1
⌅ [d2c73de3] GR_jll v0.73.24+0
⌅ [b0724c58] GettextRuntime_jll v0.22.4+0
  [61579ee1] Ghostscript_jll v9.55.1+0
  [020c3dae] Git_LFS_jll v3.7.1+0
⌃ [f8c6e375] Git_jll v2.54.0+0
⌃ [7746bdde] Glib_jll v2.86.3+0
⌃ [3b182d85] Graphite2_jll v1.3.15+0
⌅ [2e76f6c2] HarfBuzz_jll v8.5.1+0
⌃ [e33a78d0] Hwloc_jll v2.13.0+1
  [1d5cc7b8] IntelOpenMP_jll v2025.2.0+0
⌅ [9cc047cb] Ipopt_jll v300.1400.1901+0
⌃ [aacddb02] JpegTurbo_jll v3.1.5+0
  [c1c5ebd0] LAME_jll v3.100.3+0
⌃ [88015f11] LERC_jll v4.1.0+0
⌃ [1d63c593] LLVMOpenMP_jll v18.1.8+0
⌅ [e9f186c6] Libffi_jll v3.4.7+0
  [7e76a0d4] Libglvnd_jll v1.7.1+1
  [94ce4f54] Libiconv_jll v1.18.0+0
  [4b2f31a3] Libmount_jll v2.42.0+0
⌃ [89763e89] Libtiff_jll v4.7.2+0
  [38a345b3] Libuuid_jll v2.42.0+0
  [d00139f3] METIS_jll v5.1.3+0
  [856f044c] MKL_jll v2025.2.0+0
⌅ [d7ed1dd3] MUMPS_seq_jll v500.800.200+0
  [c8ffd9c3] MbedTLS_jll v2.28.1010+0
  [e7412a2a] Ogg_jll v1.3.6+0
⌃ [656ef2d0] OpenBLAS32_jll v0.3.33+1
⌃ [9bd350c2] OpenSSH_jll v10.3.1+0
  [efe28fd5] OpenSpecFun_jll v0.5.6+0
  [91d4177d] Opus_jll v1.6.1+0
⌃ [36c8627f] Pango_jll v1.57.1+0
  [30392449] Pixman_jll v0.46.4+0
  [c0090381] Qt6Base_jll v6.10.2+2
⌃ [629bc702] Qt6Declarative_jll v6.10.2+1
  [ce943373] Qt6ShaderTools_jll v6.10.2+1
  [6de9746b] Qt6Svg_jll v6.10.2+0
  [e99dba38] Qt6Wayland_jll v6.10.2+1
⌃ [f50d1b31] Rmath_jll v0.5.1+0
⌃ [54dcf436] SIFDecode_jll v3.1.0+0
⌃ [319450e9] SPRAL_jll v2025.9.18+0
  [a44049a8] Vulkan_Loader_jll v1.3.243+0
  [a2964d1f] Wayland_jll v1.24.0+0
⌅ [02c8fc9c] XML2_jll v2.13.9+0
  [ffd25f8a] XZ_jll v5.8.3+0
  [f67eecfb] Xorg_libICE_jll v1.1.2+0
  [c834827a] Xorg_libSM_jll v1.2.6+0
  [4f6342f7] Xorg_libX11_jll v1.8.13+0
  [0c0b7dd1] Xorg_libXau_jll v1.0.13+0
  [935fb764] Xorg_libXcursor_jll v1.2.4+0
  [a3789734] Xorg_libXdmcp_jll v1.1.6+0
  [1082639a] Xorg_libXext_jll v1.3.8+0
  [d091e8ba] Xorg_libXfixes_jll v6.0.2+0
⌃ [a51aa0fd] Xorg_libXi_jll v1.8.3+0
  [d1454406] Xorg_libXinerama_jll v1.1.7+0
  [ec84b674] Xorg_libXrandr_jll v1.5.6+0
  [ea2f1a96] Xorg_libXrender_jll v0.9.12+0
  [a65dc6b1] Xorg_libpciaccess_jll v0.19.0+0
  [c7cfdc94] Xorg_libxcb_jll v1.17.1+0
  [cc61e674] Xorg_libxkbfile_jll v1.2.0+0
  [e920d4aa] Xorg_xcb_util_cursor_jll v0.1.6+0
  [12413925] Xorg_xcb_util_image_jll v0.4.1+0
  [2def613f] Xorg_xcb_util_jll v0.4.1+0
  [975044d2] Xorg_xcb_util_keysyms_jll v0.4.1+0
  [0d47668e] Xorg_xcb_util_renderutil_jll v0.3.10+0
  [c22f9ab0] Xorg_xcb_util_wm_jll v0.4.2+0
  [35661453] Xorg_xkbcomp_jll v1.4.7+0
⌃ [33bec58e] Xorg_xkeyboard_config_jll v2.47.0+1
  [c5fb5394] Xorg_xtrans_jll v1.6.0+0
  [8f1865be] ZeroMQ_jll v4.3.6+0
  [3161d3a3] Zstd_jll v1.5.7+1
  [35ca27e7] eudev_jll v3.2.14+0
⌅ [214eeab7] fzf_jll v0.61.1+0
⌃ [a4ae2306] libaom_jll v3.13.3+0
⌃ [0ac62f75] libass_jll v0.17.4+0
  [1183f4f0] libdecor_jll v0.2.2+0
⌃ [8e53e030] libdrm_jll v2.4.125+1
  [2db6ffa8] libevdev_jll v1.13.4+0
  [f638f0a6] libfdk_aac_jll v2.0.4+0
  [36db933b] libinput_jll v1.28.1+0
  [b53b4c65] libpng_jll v1.6.58+0
  [a9144af2] libsodium_jll v1.0.21+0
  [9a156e7d] libva_jll v2.23.0+0
  [f27f6e37] libvorbis_jll v1.3.8+0
  [009596ad] mtdev_jll v1.1.7+0
  [1317d2d5] oneTBB_jll v2022.3.0+0
⌅ [1270edf5] x264_jll v10164.0.1+0
  [dfaa095f] x265_jll v4.1.0+0
  [d8fb68d0] xkbcommon_jll v1.13.0+0
  [0dad84c5] ArgTools v1.1.2
  [56f22d72] Artifacts v1.11.0
  [2a0f44e3] Base64 v1.11.0
  [ade2ca70] Dates v1.11.0
  [8ba89e20] Distributed v1.11.0
  [f43a241f] Downloads v1.7.0
  [7b1f6079] FileWatching v1.11.0
  [9fa8497b] Future v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0
  [4af54fe1] LazyArtifacts v1.11.0
  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2 v1.11.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.12.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [a63ad114] Mmap v1.11.0
  [ca575930] NetworkOptions v1.3.0
  [44cfe95a] Pkg v1.12.1
  [de0858da] Printf v1.11.0
  [3fa0cd96] REPL v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization v1.11.0
  [1a1011a3] SharedArrays v1.11.0
  [6462fe0b] Sockets v1.11.0
  [2f01184e] SparseArrays v1.12.0
  [f489334b] StyledStrings v1.11.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test v1.11.0
  [cf7118a7] UUIDs v1.11.0
  [4ec0a83e] Unicode v1.11.0
  [e66e0078] CompilerSupportLibraries_jll v1.3.0+1
  [deac9b47] LibCURL_jll v8.15.0+0
  [e37daf67] LibGit2_jll v1.9.0+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2025.11.4
  [4536629a] OpenBLAS_jll v0.3.29+0
  [05823500] OpenLibm_jll v0.8.7+0
  [458c3c95] OpenSSL_jll v3.5.4+0
  [efcefdf7] PCRE2_jll v10.44.0+1
  [bea87d4a] SuiteSparse_jll v7.8.3+2
  [83775a58] Zlib_jll v1.3.1+2
  [8e850b90] libblastrampoline_jll v5.15.0+0
  [8e850ede] nghttp2_jll v1.64.0+1
  [3f19e933] p7zip_jll v17.7.0+0
Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`