OptimizationMadNLP-v2.3.3

OptimizationMadNLP OptimizationMadNLP-v2.3.3

Diff since OptimizationMadNLP-v2.3.2

Merged pull requests:

• OptimizationMOI/OptimizationBase: expression graph for array constraints; fix SymbolifiedExprs MethodError (#1364) (@ChrisRackauckas-Claude)
• test: re-enable DiffEqFlux Core coverage (#1385) (@ChrisRackauckas-Claude)
• docs: update BlackBoxOptim and MadNLP links to their current repos (#1388) (@ChrisRackauckas-Claude)
• OptimizationBase: make implicit imports explicit, un-break no_implicit_imports QA check (#1391) (@ChrisRackauckas-Claude)
• OptimizationOptimJL: make implicit imports explicit, un-break no_implicit_imports QA check (#1392) (@ChrisRackauckas-Claude)
• QA: make OptimizationOptimisers imports explicit (#1397) (@ChrisRackauckas-Claude)
• Run runic over entire repository (#1399) (@abhro)
• Remove Core.Box captures from the unconstrained OptimizationLBFGSB __solve path (#1402) (@ChrisRackauckas-Claude)
• OptimizationOptimJL: default extended_trace to false (#1406) (@ChrisRackauckas-Claude)
• Use DEFAULT_CALLBACK const in OptimJL/Optimisers __init (#1407) (@ChrisRackauckas-Claude)
• Use DEFAULT_CALLBACK const in SciPy/Sophia/NLopt/Metaheuristics __init (#1412) (@ChrisRackauckas-Claude)
• Fix NOMAD lower constraint bounds (#1418) (@lowgame)
• OptimizationCMAEvolutionStrategy: make imports explicit (#1421) (@ChrisRackauckas-Claude)
• OptimizationMultistartOptimization: make imports explicit (#1422) (@ChrisRackauckas-Claude)
• Bump OptimizationBase, ConvexOptimization, OptimizationIpopt, OptimizationLBFGSB, OptimizationMOI, OptimizationNLopt, OptimizationPolyalgorithms, and SimpleOptimization for release (#1423) (@ChrisRackauckas)
• OptimizationBase: despecialize AutoSpecialize and AutoDespecialize problems (#1424) (@SebastianM-C)
• Allow JET 0.12 in the QA environment for Julia 1.13 (#1425) (@ChrisRackauckas)
• Bump versions: OptimizationBBO 0.4.13, OptimizationCMAEvolutionStrategy 0.3.14, OptimizationEvolutionary 0.4.15, OptimizationLBFGSB 1.5.3, OptimizationMetaheuristics 0.3.13, OptimizationMultistartOptimization 0.3.11, OptimizationNOMAD 0.3.12, OptimizationODE 0.1.12, OptimizationOptimJL 0.4.22, OptimizationOptimisers 0.3.26 (#1428) (@ChrisRackauckas)
• Cancel superseded PR CI runs (#1429) (@ChrisRackauckas)
• Fix AutoEnzyme Hessian invalidating Hessian-vector products (#1431) (@ChrisRackauckas)
• Avoid second-order AD warnings for analytical Hessians (#1432) (@ChrisRackauckas)
• Handle integer-power codegen in OptimizationMOI expressions (#1436) (@ChrisRackauckas-Claude)
• OptimizationMadNLP: allow MadNLP 0.11 (#1439) (@SebastianM-C)
• Bump versions: OptimizationMOI 1.6.1, OptimizationMetaheuristics 0.3.14, OptimizationNLopt 0.3.20, OptimizationSciPy 0.4.12, OptimizationSophia 1.4.2 (#1440) (@ChrisRackauckas)
• compat: allow Evolutionary 0.12 in OptimizationEvolutionary 0.4.16 (#1441) (@ChrisRackauckas)

Closed issues:

• ForwardDiff gradient dispatch issue with Float32 ComponentArrays in DiffEqFlux test (#1134)
• missing_second_order_ad warning fires even when an analytical Hessian is supplied via OptimizationFunction(f; hess = ...) (#1240)
• AutoEnzyme out-of-place hess rebinds the hv buffer, so hv throws after hess (#1427)
• OptimizationMOI Core rejects literal_pow expressions with SymbolicUtils 4.52.0 (#1435)