Optimization v4.5.0
Merged pull requests:
- Added fix for COBYLA example in docs (#931) (@AdityaPandeyCN)
- PyCMA Wrapper (#933) (@mxpoch)
- added pycma docs and python kwargs (#934) (@mxpoch)
- added callbacks to pycma wrapper (#935) (@mxpoch)
- Relax type in MOI NLP evaluator (#938) (@ErikQQY)
- Add optimization parameters to OptimizationState (#945) (@ChrisRackauckas)
- Add verbose parameter support to CMAEvolutionStrategyOpt (#946) (@ChrisRackauckas)
- Fix integer bounds error in OptimizationMOI (#947) (@ChrisRackauckas)
- Fix LBFGS iteration counter always showing 0 (#948) (@ChrisRackauckas)
- Add support for dual_ftol_rel parameter in NLopt (#949) (@ChrisRackauckas)
- Add documentation for reinit! function (#950) (@ChrisRackauckas)
- Improve test coverage for src/utils.jl (#952) (@ChrisRackauckas)
- Fix Sophia neural network training documentation example (#953) (@ChrisRackauckas)
- Remove Julia v1.9 version checks and associated AD tests (#956) (@ChrisRackauckas)
- Add spell checking configuration (#962) (@ChrisRackauckas)
- Fix spelling errors and add typos configuration (#963) (@ChrisRackauckas)
- Add downgrade CI workflow with Core test group (#964) (@ChrisRackauckas)
- Add downgrade CI for all sublibraries (#965) (@ChrisRackauckas)
- Update CI to test on Julia 1, lts, and pre versions (#966) (@ChrisRackauckas)
- Update code formatting with JuliaFormatter (#985) (@ChrisRackauckas)
Closed issues:
- Add description and usage example of
reinit
(#502) - Error messages with integer constraint vectors (#528)
- Prevent printing when using CMAEvolutionStrategyOpt solver (#572)
- The help to solve does not explain the result. (#587)
- test: test coverage needs improvement for the ./src/utils.jl file (#868)
- Add optimization parameters to
OptimiationStsate
(#891) - LBFGS iteration index is always 0? (#907)
- Add OptimizationSciPy wrapper package (#917)
- Add OptimizationPyCMA Wrapper Package (#918)
- Adding dual_ftol_rel keyword for NLopt (#922)
no method matching keys(::Nothing)
when I forget to passlcons
anducons
to a constrained problem (#959)