| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2026-09-12 | 2.5 kB | |
| v5.9.1 source code.tar.gz | 2026-09-12 | 366.8 kB | |
| v5.9.1 source code.zip | 2026-09-12 | 562.0 kB | |
| Totals: 3 Items | 931.4 kB | 0 | |
Optimization v5.9.1
- Raise the OptimizationBase floor to 5.6.0, which routes
solvethrough the problem'sproblem_typewhen wrapping solutions (#1354, [#1356])
Non-breaking patch release. Requires SciMLBase 3.54 transitively for the problem_type slot on OptimizationProblem.
🤖 Posted by an AI agent — harness: Claude Code, model: claude-opus-5[1m]. Chris asked for this release.
https://claude.ai/code/session_014FEzNTLFutCmTEAZ3zBg5R
Merged pull requests:
- Fix OptimizationManopt reporting MaxIters even when converged (#1258) (@SebastianM-C)
- Add ConvexOptimization subpackage (disciplined convex programming backend) (#1263) (@ChrisRackauckas-Claude)
- qa: use the shared reexport documentation policy (#1324) (@ChrisRackauckas)
- 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)
- Route solve through the problem's problem_type when wrapping solutions (#1354) (@ChrisRackauckas-Claude)
- Release Optimization 5.9.1 (#1356) (@ChrisRackauckas)
Closed issues:
- Manopt linesearch produces NaN/Inf on SymmetricPositiveDefinite manifold (#1135)