Releases: JuliaSmoothOptimizers/NLPModelsJuMP.jl
Releases · JuliaSmoothOptimizers/NLPModelsJuMP.jl
v0.13.2
NLPModelsJuMP v0.13.2
Merged pull requests:
- Add jth_hess_coord!, jth_hprod! and ghjvprod! (#193) (@amontoison)
- Support the JuMP macro operator (#197) (@amontoison)
Closed issues:
v0.13.1
NLPModelsJuMP v0.13.1
Merged pull requests:
- Fix support for mix of nonlinear with quadratic (#190) (@blegat)
- Update MOI_wrapper.jl for quadratic constraints (#191) (@amontoison)
Closed issues:
v0.13.0
NLPModelsJuMP v0.13.0
Merged pull requests:
- Support quadratic constraints (#181) (@amontoison)
Closed issues:
v0.12.7
NLPModelsJuMP v0.12.7
Merged pull requests:
- Replace coo_sym_prod! by coo_sym_add_mul! (#183) (@amontoison)
- Fix a bug in the Hessian structure of a MathOptNLSModel (#185) (@amontoison)
Closed issues:
v0.12.6
v0.12.5
NLPModelsJuMP v0.12.5
Merged pull requests:
Closed issues:
- Function tracing (JuMP 1.15.0) is not supported (#160)
v0.12.4
v0.12.3
NLPModelsJuMP v0.12.3
Merged pull requests:
- [documentation] Update Documenter.jl (#164) (@amontoison)
Closed issues:
- Retroactively add an upper bound to JuMP to older versions of NLPModelsJuMP (#163)
v0.12.2
NLPModelsJuMP v0.12.2
Merged pull requests:
- Bump NLPModelsTest to 0.9 (#151) (@tmigot)
- Parse variables at the MOI level (#153) (@blegat)
- Remove the build with Linux ARM (#154) (@amontoison)
- Parse NL at MOI level (#155) (@blegat)
- Add MOI wrapper (#157) (@blegat)
- Add an upper bound for JuMP (#161) (@amontoison)
- Release 0.12.2 (#162) (@amontoison)
Closed issues:
- MOI Optimizer (#152)
v0.12.1
NLPModelsJuMP v0.12.1
Merged pull requests:
- Add more warning from QuadExpr (#139) (@amontoison)
- Update CommentPR.yml (#141) (@amontoison)
- Add discussion in readme (#142) (@tmigot)
- Bump to NLPModels 0.20 (#146) (@tmigot)
- [CI] Update .cirrus.yml (#147) (@amontoison)
- Version 0.12.1 (#148) (@tmigot)