Releases: JuliaNonconvex/Nonconvex.jl
Releases · JuliaNonconvex/Nonconvex.jl
v2.1.3
Nonconvex v2.1.3
Merged pull requests:
- warnonly = true in docs (#163) (@mohamed82008)
Closed issues:
- Trouble calling Julia Function from Python Code (#153)
- Make Nonconvex models type stable (#155)
- Unified API for information of the results (#159)
- NLopt zero-order algorithms are using Zygote (#160)
- Throw a better error when passing an illegal algorithm name for NLopt (#161)
- Compatible with JuliaGPU (#162)
v2.1.2
Nonconvex v2.1.2
Closed issues:
v2.1.1
Nonconvex v2.1.1
Closed issues:
- Wrap NOMAD.jl (#84)
- Useage with ComponentArrays (#99)
- Wrap Metaheuristics.jl (#124)
- Problem with Hyperoptim.jl (#146)
- Mixed-mode AD? (#148)
- Parallel capabilities of Hyperopt? (#149)
- Extract number of iterations from results (#150)
Merged pull requests:
- Update CI.yml (#147) (@mohamed82008)
- fix typo in README.md (#151) (@CarloLucibello)
v2.1.0
Nonconvex v2.1.0
Closed issues:
- Workaround for Mutating Arrays (#137)
Merged pull requests:
- More docs and tests (#145) (@mohamed82008)
v2.0.4
Nonconvex v2.0.4
Closed issues:
- Support GalacticOptim for unconstrained and bound constrained optimization (#28)
- Percival fails with ERROR: outside of the trust region: ‖x‖²= NaN (#55)
- Support functions with a sparse Jacobian (#115)
- Symbolic AD Sensitivity to Init Values (#143)
Merged pull requests:
- improve docs side bar (#144) (@mohamed82008)
v2.0.3
Nonconvex v2.0.3
v2.0.2
Nonconvex v2.0.2
v2.0.1
v2.0.0
Nonconvex v2.0.0
Closed issues:
- Nonconvex (ab)uses eval (#134)
- Jacobian_Approximation for IPOPT (#135)
- How to extract results from NLopt (#136)
Merged pull requests:
- Docs improvement, sparsity and symbolic AD (#141) (@mohamed82008)