v0.11.1

NLPModels v0.11.1

Diff since v0.11.0

Merged pull requests:

• Create CompatHelper.yml (#242) (@abelsiqueira)
• Update README (#244) (@abelsiqueira)
• Test and fix multiple precision in matrix_op (#248) (@abelsiqueira)
• Version 0.11.1 (#249) (@abelsiqueira)

v0.11.0

NLPModels v0.11.0

Diff since v0.10.1

Closed issues:

• Proposition: Change meta (add get(nlp, :thing)) (#92)
• NLSModels should be considered equal to NLPModels (#127)
• NLPModels rework steps (#166)
• Test types (#195)
• Split NLPModels (#199)
• brownden doesn't have obj_weight in hprod! and consistency doesn't check it. (#230)

Merged pull requests:

• Merge pull request #234 from JuliaSmoothOptimizers/refactor-tests2 (#234) (@abelsiqueira)
• Refactor multiple precision tests and fix some multiple precision issues (#235) (@abelsiqueira)
• Fix issue230 (#236) (@abelsiqueira)
• Install TagBot as a GitHub Action (#238) (@JuliaTagBot)
• Update docs/make.jl for Documenter 0.24 (#239) (@amontoison)
• Build documentation again with Travis (#240) (@amontoison)
• Don't test breakage on forks (#241) (@abelsiqueira)

v0.10.1

v0.10.1 (2020-01-17)

Diff since v0.9.1

Closed issues:

• SlackModel loses type of x (#217)
• ADModels: better prods (#214)

Merged pull requests:

• Test-breakage runs in parallel (#233) (abelsiqueira)
• Refactor tests (#231) (abelsiqueira)
• stop in range is not positional argument in Julia 1.0 (#227) (abelsiqueira)
• Improve ForwardDiff related prod functions (#226) (abelsiqueira)
• Fix types in slack model (fix #217) (#225) (abelsiqueira)
• test Julia 1.3, FreeBSD, add badge (#224) (dpo)
• Update travis with latest Julia (#223) (abelsiqueira)

v0.9.1

v0.9.1 (2019-11-20)

Diff since v0.10.0

v0.10.0

v0.10.0 (2019-11-15)

Diff since v0.9.0

Closed issues:

• Remove Lagrangian multipliers as kw from Hessian functions splitting into two functions (#211)
• Remove rows and cols for coord functions (#192)

Merged pull requests:

• remove types from linear operators (#222) (dpo)
• Version 0.10.0 (#221) (abelsiqueira)
• Remove NLPModelsJuMP from docs until it is fixed (#219) (abelsiqueira)
• Test jac_structure! (#218) (abelsiqueira)
• Remove rows and cols from coord functions (#216) (abelsiqueira)
• Split Hessian functions into two removing multipliers as keywords (#215) (abelsiqueira)
• Fix docs (#212) (abelsiqueira)

v0.9.0

v0.9.0 (2019-09-26)

Diff since v0.8.3

Merged pull requests:

• Change some structure functions to their in place versions (#209) (abelsiqueira)
• Test breakage (#208) (abelsiqueira)
• Change coverage in travis to run only for one build (#205) (abelsiqueira)
• Add jac_structure_residual! and use in place coord function for NLS (#204) (abelsiqueira)

v0.8.3

v0.8.3 (2019-08-22)

Diff since v0.8.2

Closed issues:

• Testing if zapier/asana automatically gets this last chance (#198)
• Testing if zapier/asana automatically gets this (#197)
• Testing if zapier/asana automatically gets this (#196)
• Accept non-Function callables (#193)

Merged pull requests:

• Manually compute the derivates of Brownden (#203) (abelsiqueira)
• test Julia 1.2 on CI (#202) (dpo)
• run CI on Travis/Windows (#201) (dpo)
• Remove Function type from ADNLPModel to accept other callables (#194) (abelsiqueira)

v0.8.2

v0.8.2 (2019-07-09)

Diff since v0.8.1

Merged pull requests:

• accessing rows/cols in hess_coord is unsafe (#191) (dpo)
• Simplify methods (#190) (dpo)

v0.8.1

v0.8.1 (2019-07-06)

Diff since v0.8.0

Closed issues:

• hess_structure! (#182)
• Coordinate Jacobian and Hessian improvements (#160)

Merged pull requests:

• ADNLPModel should return a dense Hessian (#189) (dpo)
• Bang methods (#188) (dpo)
• Change from REQUIRE to Project.toml (#186) (abelsiqueira)
• Fix display math in docstrings. (#184) (xhu4)
• New methods to obtain Hessian structure in place (#183) (dpo)

v0.8.0

Remove SimpleNLPModel.
Manual implementation as an alternative to SimpleNLPModel.
Implement structure and inplace coordinate function.