Merge branch 'master' into ipopt-default-cache

Author: SebastianM-C

.github/workflows/DowngradeSublibraries.yml

@@ -23,6 +23,8 @@ jobs:
       # ModelingToolkit 11). Stdlibs and in-repo sublibraries are auto-populated by
       # the centralized workflow.
       skip: "SymbolicAnalysis"
+      exclude: "OptimizationQuadDIRECT"
       group-env-name: "OPTIMIZATION_TEST_GROUP"
       group-env-value: "Core"
-      # Every lib/* sublibrary is downgrade-tested (projects auto-discovered, no exclusions).
+      # OptimizationQuadDIRECT has an unregistered URL source and is tested below
+      # with a manifest repair step after downgrade-compat.

.github/workflows/Downstream.yml

@@ -13,7 +13,8 @@ jobs:
       matrix:
         package:
           - {user: SciML, repo: DiffEqFlux.jl, group: DiffEqFlux}
-          - {user: SciML, repo: NeuralPDE.jl, group: NNPDE}
+          - {user: SciML, repo: NeuralPDE.jl, group: NNPDE1}
+          - {user: SciML, repo: NeuralPDE.jl, group: NNPDE2}
           - {user: SciML, repo: ModelingToolkit.jl, group: All}
     uses: "SciML/.github/.github/workflows/downstream.yml@v1"
     with:

.github/workflows/TagBot.yml

@@ -3,42 +3,28 @@ on:
   issue_comment:
     types: [created]
   workflow_dispatch:
+    inputs:
+      package:
+        description: "Package name to tag; empty audits every package"
+        required: false
+        type: string
+permissions:
+  actions: read
+  checks: read
+  contents: write
+  deployments: read
+  issues: read
+  discussions: read
+  packages: read
+  pages: read
+  pull-requests: read
+  repository-projects: read
+  security-events: read
+  statuses: read
+
 jobs:
   tagbot:
-    uses: "SciML/.github/.github/workflows/tagbot.yml@v1"
-    secrets: "inherit"
-  tagbot-subpackages:
-    strategy:
-      fail-fast: false
-      matrix:
-        subdir:
-          - "lib/OptimizationAuglag"
-          - "lib/OptimizationBBO"
-          - "lib/OptimizationBase"
-          - "lib/OptimizationCMAEvolutionStrategy"
-          - "lib/OptimizationEvolutionary"
-          - "lib/OptimizationGCMAES"
-          - "lib/OptimizationIpopt"
-          - "lib/OptimizationLBFGSB"
-          - "lib/OptimizationMOI"
-          - "lib/OptimizationMadNLP"
-          - "lib/OptimizationManopt"
-          - "lib/OptimizationMetaheuristics"
-          - "lib/OptimizationMultistartOptimization"
-          - "lib/OptimizationNLPModels"
-          - "lib/OptimizationNLopt"
-          - "lib/OptimizationNOMAD"
-          - "lib/OptimizationODE"
-          - "lib/OptimizationOptimJL"
-          - "lib/OptimizationOptimisers"
-          - "lib/OptimizationPRIMA"
-          - "lib/OptimizationPolyalgorithms"
-          - "lib/OptimizationPyCMA"
-          - "lib/OptimizationSciPy"
-          - "lib/OptimizationSophia"
-          - "lib/OptimizationSpeedMapping"
-          - "lib/SimpleOptimization"
-    uses: "SciML/.github/.github/workflows/tagbot.yml@v1"
+    uses: "SciML/.github/.github/workflows/monorepo-tagbot.yml@v1"
     with:
-      subdir: "${{ matrix.subdir }}"
+      package: "${{ inputs.package }}"
     secrets: "inherit"

Project.toml

@@ -1,6 +1,6 @@
 name = "Optimization"
 uuid = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
-version = "5.6.4"
+version = "5.6.5"
 
 [deps]
 ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
@@ -20,12 +20,6 @@ TerminalLoggers = "5d786b92-1e48-4d6f-9151-6b4477ca9bed"
 [sources.OptimizationBase]
 path = "lib/OptimizationBase"
 
-[sources.OptimizationLBFGSB]
-path = "lib/OptimizationLBFGSB"
-
-[sources.OptimizationMOI]
-path = "lib/OptimizationMOI"
-
 [sources.OptimizationOptimJL]
 path = "lib/OptimizationOptimJL"
 
@@ -35,17 +29,14 @@ path = "lib/OptimizationOptimisers"
 [compat]
 ADTypes = "1.18"
 ArrayInterface = "7.10"
-BenchmarkTools = "1"
 Boltz = "1"
 ComponentArrays = ">= 0.13.9"
 ConsoleProgressMonitor = "0.1.1"
 DiffEqFlux = "2, 3, 4"
 DocStringExtensions = "0.9.5"
-Enzyme = "0.13"
 FiniteDiff = "2"
 Flux = "0.13, 0.14, 0.15, 0.16"
 ForwardDiff = "0.10, 1"
-Ipopt = "1"
 IterTools = "1.3"
 LinearAlgebra = "1.10"
 LinearSolve = "3.64.0"
@@ -54,12 +45,9 @@ LoggingExtras = "0.4, 1"
 Lux = "1.12.4"
 MLUtils = "0.4"
 ModelingToolkit = "11"
-Mooncake = "0.4.138, 0.5"
 Optim = ">= 1.4.1"
 Optimisers = ">= 0.2.5"
 OptimizationBase = "5"
-OptimizationLBFGSB = "1.2"
-OptimizationMOI = "1"
 OptimizationOptimJL = "0.4.10"
 OptimizationOptimisers = "0.3.16"
 OrdinaryDiffEqTsit5 = "1, 2"
@@ -72,35 +60,28 @@ SafeTestsets = "0.1"
 SciMLBase = "2.148.0, 3"
 SciMLLogging = "1.10.1, 2"
 SciMLSensitivity = "7.100.0"
-SciMLTesting = "1"
+SciMLTesting = "2.1"
 SparseArrays = "1.10"
 Symbolics = "7"
 TerminalLoggers = "0.1"
 Test = "1.10"
-Tracker = "0.2"
 Zygote = "0.6, 0.7"
 julia = "1.10"
 
 [extras]
-BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
 Boltz = "4544d5e4-abc5-4dea-817f-29e4c205d9c8"
 ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66"
 DiffEqFlux = "aae7a2af-3d4f-5e19-a356-7da93b79d9d0"
-Enzyme = "7da242da-08ed-463a-9acd-ee780be4f1d9"
 FiniteDiff = "6a86dc24-6348-571c-b903-95158fe2bd41"
 Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
-Ipopt = "b6b21f68-93f8-5de0-b562-5493be1d77c9"
 IterTools = "c8e1da08-722c-5040-9ed9-7db0dc04731e"
 LinearSolve = "7ed4a6bd-45f5-4d41-b270-4a48e9bafcae"
 Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
 MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
 ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
-Mooncake = "da2b9cff-9c12-43a0-ae48-6db2b0edb7d6"
 Optim = "429524aa-4258-5aef-a3af-852621145aeb"
 Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
-OptimizationLBFGSB = "22f7324a-a79d-40f2-bebe-3af60c77bd15"
-OptimizationMOI = "fd9f6733-72f4-499f-8506-86b2bdd0dea1"
 OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
 OptimizationOptimisers = "42dfb2eb-d2b4-4451-abcd-913932933ac1"
 OrdinaryDiffEqTsit5 = "b1df2697-797e-41e3-8120-5422d3b24e4a"
@@ -114,8 +95,7 @@ SciMLTesting = "09d9d899-5365-40a9-917a-5f67fddea283"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
-Tracker = "9f7883ad-71c0-57eb-9f7f-b5c9e6d3789c"
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
 [targets]
-test = ["BenchmarkTools", "Boltz", "ComponentArrays", "DiffEqFlux", "Enzyme", "FiniteDiff", "Flux", "ForwardDiff", "Ipopt", "IterTools", "LinearSolve", "Lux", "MLUtils", "ModelingToolkit", "Optim", "OptimizationLBFGSB", "OptimizationMOI", "OptimizationOptimJL", "OptimizationOptimisers", "OrdinaryDiffEqTsit5", "Pkg", "Random", "ReverseDiff", "SafeTestsets", "SciMLSensitivity", "SciMLTesting", "SparseArrays", "Symbolics", "Test", "Tracker", "Zygote", "Mooncake", "SciMLLogging"]
+test = ["Boltz", "ComponentArrays", "DiffEqFlux", "FiniteDiff", "Flux", "ForwardDiff", "IterTools", "LinearSolve", "Lux", "MLUtils", "ModelingToolkit", "Optim", "OptimizationOptimJL", "OptimizationOptimisers", "OrdinaryDiffEqTsit5", "Pkg", "Random", "ReverseDiff", "SafeTestsets", "SciMLSensitivity", "SciMLTesting", "SparseArrays", "Symbolics", "Test", "Zygote", "SciMLLogging"]

docs/make.jl

@@ -1,5 +1,11 @@
 using Documenter, Optimization
-using OptimizationLBFGSB, OptimizationSophia, SimpleOptimization
+using OptimizationAuglag, OptimizationBBO, OptimizationBase
+using OptimizationCMAEvolutionStrategy, OptimizationGCMAES, OptimizationIpopt
+using OptimizationLBFGSB, OptimizationMadNLP, OptimizationManopt
+using OptimizationNLPModels, OptimizationNOMAD, OptimizationODE
+using OptimizationPolyalgorithms, OptimizationPRIMA, OptimizationPyCMA
+using OptimizationQuadDIRECT, OptimizationSciPy, OptimizationSophia
+using OptimizationSpeedMapping, SimpleOptimization
 
 cp(joinpath(@__DIR__, "Manifest.toml"), joinpath(@__DIR__, "src/assets/Manifest.toml"), force = true)
 cp(joinpath(@__DIR__, "Project.toml"), joinpath(@__DIR__, "src/assets/Project.toml"), force = true)
@@ -10,8 +16,14 @@ makedocs(
     sitename = "Optimization.jl",
     authors = "Chris Rackauckas, Vaibhav Kumar Dixit et al.",
     modules = [
-        Optimization, Optimization.SciMLBase, Optimization.OptimizationBase, Optimization.ADTypes,
-        OptimizationLBFGSB, OptimizationSophia, SimpleOptimization,
+        Optimization, Optimization.SciMLBase, Optimization.OptimizationBase,
+        OptimizationAuglag, OptimizationBBO, OptimizationBase,
+        OptimizationCMAEvolutionStrategy, OptimizationGCMAES, OptimizationIpopt,
+        OptimizationLBFGSB, OptimizationMadNLP, OptimizationManopt,
+        OptimizationNLPModels, OptimizationNOMAD, OptimizationODE,
+        OptimizationPolyalgorithms, OptimizationPRIMA, OptimizationPyCMA,
+        OptimizationQuadDIRECT, OptimizationSciPy, OptimizationSophia,
+        OptimizationSpeedMapping, SimpleOptimization,
     ],
     clean = true, doctest = false, linkcheck = true,
     warnonly = [:missing_docs, :cross_references],

docs/pages.jl

@@ -27,11 +27,13 @@ pages = [
     ],
     "Optimizer Packages" => [
         "BlackBoxOptim.jl" => "optimization_packages/blackboxoptim.md",
+        "AugLag.jl" => "optimization_packages/auglag.md",
         "CMAEvolutionStrategy.jl" => "optimization_packages/cmaevolutionstrategy.md",
         "Evolutionary.jl" => "optimization_packages/evolutionary.md",
         "GCMAES.jl" => "optimization_packages/gcmaes.md",
         "Ipopt.jl" => "optimization_packages/ipopt.md",
         "LBFGSB.jl" => "optimization_packages/lbfgsb.md",
+        "MadNLP.jl" => "optimization_packages/madnlp.md",
         "Manopt.jl" => "optimization_packages/manopt.md",
         "MathOptInterface.jl" => "optimization_packages/mathoptinterface.md",
         "Metaheuristics.jl" => "optimization_packages/metaheuristics.md",

docs/src/API/ad.md

@@ -13,15 +13,4 @@ The choices for the auto-AD fill-ins with quick descriptions are:
 
 ## Automatic Differentiation Choice API
 
-The following sections describe the Auto-AD choices in detail. These types are defined in the [ADTypes.jl](https://github.com/SciML/ADTypes.jl) package.
-
-```@docs
-ADTypes.AutoForwardDiff
-ADTypes.AutoFiniteDiff
-ADTypes.AutoReverseDiff
-ADTypes.AutoZygote
-ADTypes.AutoTracker
-ADTypes.AutoSymbolics
-ADTypes.AutoEnzyme
-ADTypes.AutoMooncake
-```
+The Auto-AD choices are defined and documented in [ADTypes.jl](https://github.com/SciML/ADTypes.jl). Optimization.jl accepts these choices when constructing optimization functions, but does not own their API.

docs/src/API/optimization_problem.md

@@ -2,4 +2,7 @@
 
 ```@docs
 SciMLBase.OptimizationProblem
+OptimizationBase.ObjSense
+OptimizationBase.MinSense
+OptimizationBase.MaxSense
 ```

docs/src/API/solve.md

@@ -1,5 +1,20 @@
 # Common Solver Options (Solve Keyword Arguments)
 
 ```@docs
-solve(::OptimizationProblem,::Any)
+OptimizationBase.solve(::SciMLBase.OptimizationProblem,::Any)
+OptimizationBase.OptimizationCache
+OptimizationBase.DEFAULT_CALLBACK
+OptimizationBase.DEFAULT_DATA
+OptimizationBase.IncompatibleOptimizerError
+OptimizationBase.OptimizerMissingError
+OptimizationBase.OptimizationVerbosity
+OptimizationBase.allowsbounds
+OptimizationBase.requiresbounds
+OptimizationBase.allowsconstraints
+OptimizationBase.requiresconstraints
+OptimizationBase.allowscallback
+OptimizationBase.requiresgradient
+OptimizationBase.requireshessian
+OptimizationBase.requiresconsjac
+OptimizationBase.requiresconshess
 ```

docs/src/index.md

@@ -39,7 +39,7 @@ the top level package does not add any extra behavior.
 ## Contributing
 
   - Please refer to the
-    [SciML ColPrac: Contributor's Guide on Collaborative Practices for Community Packages](https://github.com/SciML/ColPrac/blob/master/README.md)
+    [SciML ColPrac: Contributor's Guide on Collaborative Practices for Community Packages](https://sciml.github.io/ColPrac/)
     for guidance on PRs, issues, and other matters relating to contributing to SciML.
 
   - See the [SciML Style Guide](https://github.com/SciML/SciMLStyle) for common coding practices and other style decisions.