Release v5.1.0 · SciML/Optimization.jl

Optimization v5.1.0

Merged pull requests:

Rewrite the progressbar part of OptimizationOptimisers (#1060) (@prbzrg)
Add OptimizationMadNLP (#1061) (@SebastianM-C)
CompatHelper: bump compat for OptimizationNLPModels to 1 for package docs, (keep existing compat) (#1063) (@github-actions[bot])
CompatHelper: bump compat for Optimization to 5 for package docs, (keep existing compat) (#1064) (@github-actions[bot])
Better handling of Base method movement (#1066) (@ChrisRackauckas)
Clean up and update to OptimizationBase@v4 (#1067) (@SebastianM-C)
Fix NLopt crash with gradient-based algorithms when no AD backend specified (#1068) (@ChrisRackauckas-Claude)
Bugfix (#1069) (@SebastianM-C)
Cleanup for OptimizationBase (#1071) (@SebastianM-C)
Fix deprecated field names in MultistartOptimization result handling (#1072) (@ChrisRackauckas-Claude)
Fix LBFGS/BFGS callback receiving Dual numbers instead of scalar loss values (#1075) (@ChrisRackauckas-Claude)
Use the current OptimizationBase instead of the release (#1080) (@SebastianM-C)
Skip gradient updates when gradients contain NaN or Inf (#1081) (@ChrisRackauckas-Claude)
shorten the OptimizationMadNLP tests (#1082) (@SebastianM-C)
Continue fixing CI (#1083) (@SebastianM-C)
Fix OptimizationMadNLP version (#1084) (@SebastianM-C)
add missing bumps (#1086) (@SebastianM-C)

Closed issues:

OptimizationBase (v2) fails to precompile (#1056)
[ERROR] @logprogress must be used inside @withprogress or with _id keyword argument (#1059)
OptimizationPRIMA v0.3.2 fails to precompile (#1062)
1 dependency had output during precompilation (#1065)
Did Optimization v5 break Optimization v4 somehow? (#1070)
(L-)BFGS with bounds reports negatives loss to callback (#1073)