Recent Releases of NLPModels
NLPModels - v0.21.4
NLPModels v0.21.4
Merged pull requests:
- [documentation] Update Documenter.jl (#449) (@amontoison)
- objcons call objcons! (#467) (@tmigot)
- Update ci.yml (#479) (@amontoison)
- Update .cirrus.yml (#480) (@amontoison)
- Add eltype for NLPModels (#481) (@tmigot)
- Update with JSOBestieTemplate for NLPModels (#483) (@tmigot)
- Update breakage.yml (#487) (@amontoison)
- Update with JSOBestieTemplate for NLPModels (#489) (@tmigot)
- Improve the documentation of nnzh (#490) (@amontoison)
- Improve cons! and jprod! implementation (#492) (@tmigot)
Closed issues: - Keep ExaModels.jl and MadNLP.jl for breakage tests (#488) - Significant slowdown observed in QuadraticModels.jl (#491)
- Julia
Published by github-actions[bot] about 1 year ago
NLPModels - v0.21.2
NLPModels v0.21.2
Merged pull requests: - Documentation tweaks (fixes #460) (#462) (@timholy) - Error for nnzj mismatch (#468) (@aldma) - Add counters field in default counters macro (#470) (@MaxenceGollier) - Add new NLPModelMeta constructor (#471) (@MaxenceGollier) - Version 0.21.2 (#473) (@tmigot)
Closed issues:
- Return assertion error if nnzj != lin_nnzj + nln_nnzj in meta (#448)
- Documentation: inconsistency in whether constraints are zero (#460)
- Update an NLPModelMeta (#469)
- Julia
Published by github-actions[bot] almost 2 years ago
NLPModels - v0.21.0
NLPModels v0.21.0
Merged pull requests:
- Bump ADNLPModels in doc (#433) (@tmigot)
- remove non-existent variable from docstring (#434) (@tpapp)
- trivial fix: return type of objcons! (#436) (@tpapp)
- Update documentation reset! (#438) (@geoffroyleconte)
- add blocknlpmodels in the docs (#439) (@grishabh147)
- docs: enable linkcheck (#441) (@dpo)
- Fix link to meta in guideline (#442) (@tmigot)
- Update CI scripts (#450) (@amontoison)
- Update models documentation (#451) (@tmigot)
- Update CITATION.cff (#452) (@tmigot)
- Avoid views in jtprod! (#453) (@tmigot)
- Remove Vector implicit assumption (#455) (@tmigot)
- Version 0.21 (#459) (@tmigot)
Closed issues:
- Set codecov threshold for failure (#329)
- Add support to dense Jacobian and Hessian in API (#376)
- Return an error if lcon = -Inf and ucon = Inf (#435)
- reset! function (#437)
- Out of date link in Guidelines (#440)
- Julia
Published by github-actions[bot] about 2 years ago
NLPModels - v0.20.0
NLPModels v0.20.0
Closed issues:
- NLS: obj, grad! and objgrad! without residual evaluation (#429)
Merged pull requests: - use strict=true in docs (#411) (@dpo) - Remove auto-merge bot (#427) (@tmigot) - Add a keyword to avoid recomputing residual (#430) (@tmigot) - Version 0.20 (#432) (@tmigot)
- Julia
Published by github-actions[bot] about 3 years ago
NLPModels - v0.19.2
NLPModels v0.19.2
Merged pull requests: - Update CommentPR.yml (#420) (@amontoison) - put NLPModelMeta constructor outside of struct (#424) (@paraynaud) - Add community guidelines section in readme (#425) (@tmigot) - v0.19.2 (#426) (@paraynaud)
- Julia
Published by github-actions[bot] over 3 years ago
NLPModels - v0.19.1
NLPModels v0.19.1
Closed issues: - Memory allocation in counters (#405) - Fix docs (#409)
Merged pull requests:
- Spell out NLP (#410) (@PallHaraldsson)
- Up doc environment (#412) (@tmigot)
- sum_counters without allocations (#414) (@tmigot)
- Add in-place obj and grad! for nls (#417) (@tmigot)
- add FPS in breakage (#418) (@tmigot)
- Version 0.19.1 (#419) (@tmigot)
- Julia
Published by github-actions[bot] over 3 years ago
NLPModels - v0.18.5
NLPModels v0.18.5
Closed issues: - Documentation of met (#398)
Merged pull requests:
- Fix counters in jprod! and jtprod! (#399) (@tmigot)
- Fix linear API 2 (#401) (@tmigot)
- documentation meta (#402) (@tmigot)
- Version 0.18.5 (#403) (@tmigot)
- Julia
Published by github-actions[bot] about 4 years ago
NLPModels - v0.18.0
NLPModels v0.18.0
Closed issues:
- Is meta.minimize useful? (#341)
- Update Documentation (#374)
- Issue with AbstractNLPModel (#386)
Merged pull requests:
- update docs NLPModelMeta (#375) (@geoffroyleconte)
- API for linear constraints (#379) (@tmigot)
- Change default nln in NLPModelMeta (#381) (@tmigot)
- Remove matrix-product with the structure only (#382) (@tmigot)
- Add linear api in docs (#383) (@tmigot)
- Update docs after remove of nln (#387) (@tmigot)
- Version 0.18.0 Merge after #387 (@tmigot)
- Julia
Published by github-actions[bot] over 4 years ago
NLPModels - v0.17.1
NLPModels v0.17.1
Closed issues: - Symmetric hessians (#352)
Merged pull requests:
- Update breakage list (#357) (@abelsiqueira)
- [AUTO] Change master to main (#368) (@abelsiqueira)
- [AUTO] Fix docs to use main (#369) (@abelsiqueira)
- Add getter for NLPModelMeta and NLSMeta (#371) (@tmigot)
- Julia
Published by github-actions[bot] almost 5 years ago
NLPModels - v0.15.0
NLPModels v0.15.0
Closed issues: - Get the j-th hessian of the constraints (#315) - Some comment should be docstrings (#326) - non-finite values in constraint and objective (#350)
Merged pull requests: - Change some comments to docstrings (#345) (@abelsiqueira) - Update CI, TagBot and documentation workflows (#348) (@JSOBot) - Update CI, TagBot and documentation workflows (#349) (@JSOBot) - Parametrize structures (#353) (@geoffroyleconte) - Update Version (#356) (@geoffroyleconte)
- Julia
Published by github-actions[bot] almost 5 years ago
NLPModels - v0.14.1
NLPModels v0.14.1
Closed issues: - AutoGrad (#24) - Extension of NLPModels to Maximum and Quasi Likelihood Estimation (#171) - Sparse dercheck (#260) - Use reverse-mode AD for J(x)'v (#267) - LLSModel hess_structure! not implemented (#273) - LLSModels no longer accept LinearOperators (#281) - Refactor code (#332) - Move non-specific tests to another package (consistency, check-dims, etc.) (#333) - Move ADNLPModel to another package (#334) - Move Modifiying methods to another package (#335) - NLPModels split checklist (#337) - LBFGS approx of Hessian (#343) - Add sparse derivative check (#344)
Merged pull requests:
- Add new functions jth_hess related (#340) (@tmigot)
- Testing breakage changes (#342) (@abelsiqueira)
- Julia
Published by github-actions[bot] about 5 years ago
NLPModels - v0.14.0
NLPModels v0.14.0
Closed issues: - Reinstate breakage checks with GitHub Actions (#313) - Improvements to breakage (#328)
Merged pull requests:
- [skip ci] Test probot (#307) (@abelsiqueira)
- Create ci.yml (#309) (@abelsiqueira)
- use CircleCI linux (#310) (@dpo)
- fix CircleCI config (#311) (@dpo)
- use GitHub Actions across the board (#312) (@dpo)
- Fix bug in feasibility_residual (#318) (@tmigot)
- Improve hessian tests (#319) (@tmigot)
- Add ghjvprod implementation and tests (#320) (@tmigot)
- GitHub Actions Breakage tests (#324) (@abelsiqueira)
- Add exclude to consistent_nlps and defaults to ghjvprod (#325) (@abelsiqueira)
- Refactoring into core folder (#327) (@abelsiqueira)
- Breakage improvements (#330) (@abelsiqueira)
- Refactoring (#331) (@abelsiqueira)
- Julia
Published by github-actions[bot] about 5 years ago
NLPModels - v0.13.2
NLPModels v0.13.2
Closed issues: - Strange output of hess_op in LLSModels (#274) - Add show to guidelines (#296) - Including parameters (aka fixed variables) ? (#299) - objgrad! of LBFGSModel calls obj and grad but should call objgrad! of inner model (#304)
Merged pull requests: - Update guidelines with show information (#300) (@abelsiqueira) - Small doc fix (#301) (@abelsiqueira) - add BibTeX citation (#302) (@dpo) - Update the documentation about NLPModelsJuMP (#303) (@amontoison) - Fix objgrad on qnmodels (#305) (@abelsiqueira)
- Julia
Published by github-actions[bot] almost 6 years ago
NLPModels - v0.13.0
NLPModels v0.13.0
Closed issues: - Pass linear residuals to FeasibilityFormNLS (#289)
Merged pull requests: - Remove NotImplemented and use MethodError instead (#280) (@abelsiqueira) - Using histogram printing of the counters (#290) (@abelsiqueira) - Remove useless hessian call on ADNLPModel constructor (#293) (@abelsiqueira) - Pass linear residuals to FeasibilityFormNLS as linear constraints (#294) (@abelsiqueira) - Add new constructors for ADNLP and ADNLS models (#295) (@abelsiqueira)
- Julia
Published by github-actions[bot] almost 6 years ago
NLPModels - v0.12.4
NLPModels v0.12.4
Merged pull requests: - Remove jthhessresidual, hess and jac implementations for test models (#285) (@amontoison) - Create auto-merge (#286) (@abelsiqueira) - Implement show for NLPModels (#287) (@abelsiqueira) - Add list of linear and nonlinear equations to NLS (#288) (@abelsiqueira) - Update NLS examples with linear residuals (#291) (@amontoison) - Version 0.12.4 (#292) (@amontoison)
- Julia
Published by github-actions[bot] about 6 years ago
NLPModels - v0.12.3
NLPModels v0.12.3
Closed issues: - Many equations broken in the docs (#250) - Better docs for FeasibilityResidual (#251) - Ambiguous methods (#275)
Merged pull requests: - Test CI on Julia 1.3, 1 and nightly (#272) (@abelsiqueira) - Check input dimensions in several models (#276) (@abelsiqueira) - Test mem argument of QN models (#277) (@abelsiqueira) - fix CI scripts (#279) (@dpo) - Add NLP model LINSV (#283) (@amontoison) - Fix check-dimensions tests: constrained hprod! was not called (#284) (@abelsiqueira)
- Julia
Published by github-actions[bot] about 6 years ago
NLPModels - v0.12.2
NLPModels v0.12.2
Closed issues: - Some functions are being overwritten due to @default_counters (#263)
Merged pull requests: - new method resetdata!() for models that store resettable data (#264) (@dpo) - Change LLSModel to use coordinate format internally (#265) (@abelsiqueira) - reset! should call resetdata! (#266) (@dpo) - Changing tests printing (#268) (@abelsiqueira) - pass options through to Quasi-Newton operator (#269) (@dpo) - add reset_data! to docs (#270) (@dpo)
- Julia
Published by github-actions[bot] about 6 years ago
NLPModels - v0.12.1
NLPModels v0.12.1
Merged pull requests: - Create guidelines in docs (#247) (@abelsiqueira) - Print during multiple-precision tests (#255) (@abelsiqueira) - Add NLP problem LINCON (#258) (@amontoison) - Version 0.12.1 (#259) (@abelsiqueira) - Fix missing docstring source links (#261) (@amontoison) - Add NLS problem NLSLC (#262) (@amontoison)
- Julia
Published by github-actions[bot] about 6 years ago
NLPModels - v0.12.0
NLPModels v0.12.0
Closed issues:
- Change \nabla c(x) to J(x) (#246)
Merged pull requests: - Create prod functions that accept structure (#245) (@abelsiqueira) - Version 0.11.1 (#249) (@abelsiqueira) - Several doc fixes (#252) (@abelsiqueira) - More multiple precision fixes (#253) (@abelsiqueira) - Drop Julia 1.1 from CI (#256) (@abelsiqueira) - Add jthhessresidual implementation (#257) (@amontoison)
- Julia
Published by github-actions[bot] about 6 years ago
NLPModels - v0.11.1
NLPModels v0.11.1
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)
- Julia
Published by github-actions[bot] over 6 years ago
NLPModels - v0.11.0
NLPModels v0.11.0
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)
- Julia
Published by github-actions[bot] over 6 years ago
NLPModels - v0.10.1
v0.10.1 (2020-01-17)
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)
- Julia
Published by julia-tagbot[bot] over 6 years ago
NLPModels - v0.10.0
v0.10.0 (2019-11-15)
Closed issues:
- Remove Lagrangian multipliers as kw from Hessian functions splitting into two functions (#211)
- Remove
rowsandcolsfor 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)
- Julia
Published by julia-tagbot[bot] over 6 years ago
NLPModels - v0.9.0
v0.9.0 (2019-09-26)
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)
- Julia
Published by julia-tagbot[bot] over 6 years ago
NLPModels - v0.8.3
v0.8.3 (2019-08-22)
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)
- Julia
Published by julia-tagbot[bot] almost 7 years ago
NLPModels - v0.8.1
v0.8.1 (2019-07-06)
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)
- Julia
Published by julia-tagbot[bot] almost 7 years ago
NLPModels -
Remove SimpleNLPModel.
Manual implementation as an alternative to SimpleNLPModel.
Implement structure and inplace coordinate function.
- Julia
Published by abelsiqueira about 7 years ago