Optimization.jl Files

OptimizationODE OptimizationODE-v0.1.12

Diff since OptimizationODE-v0.1.11

Patch release of OptimizationODE v0.1.12.

• Drop stale [compat] majors older than one year (https://github.com/SciML/Optimization.jl/pull/1320)
• Bump version to 0.1.12 (https://github.com/SciML/Optimization.jl/pull/1428)

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Merged pull requests:

• Fix OptimizationManopt reporting MaxIters even when converged (#1258) (@SebastianM-C)
• Add ConvexOptimization subpackage (disciplined convex programming backend) (#1263) (@ChrisRackauckas-Claude)
• Fix the wrapper reexport floors and surface (#1317) (@ChrisRackauckas-Claude)
• Preserve AbstractVector containers in AutoEnzyme Hessians (#1319) (@ChrisRackauckas-Claude)
• qa: use the shared reexport documentation policy (#1324) (@ChrisRackauckas)
• Release 5.9.0 (#1325) (@ChrisRackauckas)
• Develop Optimization lib/* in Downstream CI (#1326) (@ChrisRackauckas-Claude)
• Release OptimizationBase 5.5.1 (#1327) (@ChrisRackauckas)
• Cap Enzyme Lagrangian Hessian batches at eight on every Julia version (#1328) (@ChrisRackauckas-Claude)
• Test OptimizationBBO ZDT1 solution semantically (#1330) (@ChrisRackauckas-Claude)
• Cap AutoEnzyme Hessian batches at width 8 (#1331) (@ChrisRackauckas-Claude)
• Release OptimizationBase 5.5.2 (#1332) (@ChrisRackauckas)
• Fix downgrade compat floors for Ipopt, NLopt, and NOMAD sublibraries (#1333) (@ChrisRackauckas-Claude)
• Fix OptimizationZygoteExt formatting (#1334) (@ChrisRackauckas-Claude)
• Release 5.5.3 (#1335) (@ChrisRackauckas)
• Document restored optimizer reexports (#1336) (@ChrisRackauckas-Claude)
• Re-enable the SPD manifold test in OptimizationBase (#1339) (@SebastianM-C)
• Scope Optimization libraries per downstream package (#1341) (@ChrisRackauckas-Claude)
• Release OptimizationNLopt 0.3.18 (#1342) (@ChrisRackauckas)
• Release OptimizationOptimJL 0.4.21 (#1343) (@ChrisRackauckas)
• Release OptimizationOptimisers 0.3.24 (#1344) (@ChrisRackauckas)
• Release OptimizationManopt 1.6.1 (#1345) (@ChrisRackauckas)
• Add 32-bit Core CI lane via test_groups.toml (#1346) (@ChrisRackauckas-Claude)
• ConvexOptimization: lower norm/exp/log objectives through their epigraph (#1347) (@ChrisRackauckas-Claude)
• ConvexOptimization: lower l1/linf norm and exp/log objectives (#1348) (@ChrisRackauckas-Claude)
• Add AirspeedVelocity benchmarking CI (#1350) (@ChrisRackauckas-Claude)
• ConvexOptimization: disciplined parametrized programming (DPP) and fast re-solve (#1351) (@ChrisRackauckas-Claude)
• Allow SymbolicAnalysis 0.5 in ConvexOptimization (#1353) (@ChrisRackauckas-Claude)
• Route solve through the problem's problem_type when wrapping solutions (#1354) (@ChrisRackauckas-Claude)
• Release Optimization 5.9.1 (#1356) (@ChrisRackauckas)
• Release OptimizationBase 5.6.1 (#1357) (@ChrisRackauckas)
• OptimizationReactant: Reactant/Enzyme AD backend (#1359) (@ChrisRackauckas-Claude)
• Release ConvexOptimization v0.1.1 (#1360) (@ChrisRackauckas)
• Require OptimizationBase 5.7.0 in OptimizationReactant (#1361) (@ChrisRackauckas)
• docs: ignore the Artelys host in linkcheck (#1362) (@ChrisRackauckas-Claude)
• Use cons_vjp for the AugLag gradient and request constraint products by the requires/allows traits (#1363) (@SebastianM-C)
• OptimizationMOI/OptimizationBase: expression graph for array constraints; fix SymbolifiedExprs MethodError (#1364) (@ChrisRackauckas-Claude)
• ConvexOptimization: lower piecewise-linear atoms (abs, max/min, maximum/minimum, sum(abs.())) (#1367) (@ChrisRackauckas-Claude)
• ConvexOptimization: lower quadratic atoms through the rotated SOC (#1368) (@ChrisRackauckas-Claude)
• Release ConvexOptimization v0.1.2 (#1369) (@ChrisRackauckas)
• Fix downgrade CI: ADTypes 1.19 floor in OptimizationBase, source OptimizationOptimisers in OptimizationReactant tests (#1370) (@SebastianM-C)
• OptimizationOptimisers: keep the gradient finiteness check on-device (#1373) (@SebastianM-C)
• ConvexOptimization: lower nested atoms innermost-first, certify the original expression (#1376) (@ChrisRackauckas-Claude)
• ConvexOptimization: allow atoms inside <= and >= constraint components (#1377) (@ChrisRackauckas-Claude)
• Raise ConvexOptimization Symbolics floor to 7.39 (fix downgrade *(Arr,Matrix,Arr) ambiguity) (#1379) (@ChrisRackauckas-Claude)
• Raise ConvexOptimization SymbolicAnalysis floor to 0.5.3 (soundness); Symbolics floor 7.40 (#1382) (@ChrisRackauckas-Claude)
• [stacked on [#1376] + [#1377]] Lower PSD matrix atoms and triangle constraints (#1386) (@ChrisRackauckas-Claude)
• docs: update BlackBoxOptim and MadNLP links to their current repos (#1388) (@ChrisRackauckas-Claude)
• [stacked on [#1386]] ConvexOptimization: refresh README (#1389) (@ChrisRackauckas-Claude)
• OptimizationOptimJL: make implicit imports explicit, un-break no_implicit_imports QA check (#1392) (@ChrisRackauckas-Claude)
• Bump OptimizationOptimisers to 0.3.25 (#1394) (@ChrisRackauckas)
• Bump ConvexOptimization to 0.1.3 (#1395) (@ChrisRackauckas)
• Clarify Sophia package in Optimisers docs (#1396) (@ChrisRackauckas-Claude)
• QA: make OptimizationOptimisers imports explicit (#1397) (@ChrisRackauckas-Claude)
• OptimizationNLopt: make imports explicit (#1398) (@ChrisRackauckas-Claude)
• Remove Core.Box captures from the unconstrained OptimizationLBFGSB __solve path (#1402) (@ChrisRackauckas-Claude)
• OptimizationMOI: const f in MOIOptimizationNLPEvaluator to avoid large field copies (#1404) (@ChrisRackauckas-Claude)
• OptimizationOptimJL: default extended_trace to false (#1406) (@ChrisRackauckas-Claude)
• Use DEFAULT_CALLBACK const in OptimJL/Optimisers __init (#1407) (@ChrisRackauckas-Claude)
• OptimizationNLPModels: make imports explicit (#1409) (@ChrisRackauckas-Claude)
• OptimizationLBFGSB: make imports explicit (#1411) (@ChrisRackauckas-Claude)
• OptimizationIpopt: make imports explicit (#1413) (@ChrisRackauckas-Claude)
• OptimizationPolyalgorithms: make imports explicit (#1415) (@ChrisRackauckas-Claude)
• SimpleOptimization: make imports explicit (#1416) (@ChrisRackauckas-Claude)
• OptimizationMadNLP: make imports explicit (#1417) (@ChrisRackauckas-Claude)
• 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)

Closed issues:

• Manopt linesearch produces NaN/Inf on SymmetricPositiveDefinite manifold (#1135)
• ConvexOptimization SymbolicAnalysis compat prevents downstream monorepo resolution (#1352)
• OptimizationNOMAD does not compile (#1358)
• ConvexOptimization: lower quadratic atoms (abs2, ^2, sum of squares, quad_form) through the rotated second-order cone (#1365)
• ConvexOptimization: lower piecewise-linear atoms (abs, max, min, maximum, minimum, sum of abs) (#1366)
• ConvexOptimization: lower nested atoms (norm(w)^2, exp(norm(u)), max(norm(u), 1), ...) (#1374)
• ConvexOptimization: allow atoms inside constraints (norm(A*u - b) <= t, sum(abs.(u)) <= 1, log(u) >= c) (#1375)
• ConvexOptimization downgrade CI red since [#1368]: Symbolics *(Arr, Matrix, Arr) ambiguity at the compat floor (#1378)
• ConvexOptimization: SymbolicAnalysis compat floor admits 0.3.7, which refuses supported problems (#1380)
• ConvexOptimization: PSD atoms (eigmax, eigmin, opnorm, logdet) and PSD constraints (SDP) (#1384)
• ConvexOptimization: README is stale (ConvexOptimizationSolution, LP/SOC only) (#1387)