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Tags · JuliaSmoothOptimizers/JSOSolvers.jl · GitHub
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Tags: JuliaSmoothOptimizers/JSOSolvers.jl
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v0.14.0
[Diff since v0.13.2](v0.13.2...v0.14.0) - drop support for Julia 1.6 - Bump to Krylov 0.10 - subsolver_type becomes subsolver and take a symbol corresponding to the solver function and not the structure. **Merged pull requests:** - Support Krylov.jl v0.10 (#292) (@amontoison) - Update .cirrus.yml (#296) (@dpo) - Version 0.14.0 (#300) (@tmigot) - Add a subsolver for TRON (#301) (@amontoison) - Fix link in documentation build (#302) (@tmigot) **Closed issues:** - `setfield!` Error with `SparseMatrixCOO` in Bound-Constrained Solver Tests (#297) - Updating Krylov to v0.10.0 breaks JSOSolvers due to module renaming (#298)
v0.13.0
[Diff since v0.12.1](v0.12.1...v0.13.0) Add a new ParameterSet structure to each solver that facilitate documentation and parameter tuning. **Merged pull requests:** - Use SolverParameters (#254) (@tmigot) - Fix preconditioner unit test (#283) (@mertkipcak) - Update with JSOBestieTemplate for JSOSolvers (#286) (@tmigot) - Update with JSOBestieTemplate for JSOSolvers (#287) (@tmigot) - Version 0.13.0 (#289) (@tmigot) - Update deprecated version of `actions/cache: v1`. (#290) (@tmigot)
v0.12.0
[Diff since v0.11.2](v0.11.2...v0.12.0) **Merged pull requests:** - Fomo nonmonotone extension (#267) (@d-monnet) - Add unbounded objective tests (#268) (@d-monnet) - Add unbounded optimality (#269) (@tmigot) - Update Krylov.jl [compat] (#274) (@paraynaud) - Bump to NLPModels 0.21 (#277) (@tmigot) **Closed issues:** - "Error: not a descent direction" when trying to minimize `LinearAlgebra.norm` (!) with `trunk` (#273)
v0.11.2
[Diff since v0.11.1](v0.11.1...v0.11.2) **Merged pull requests:** - First-order with momentum (#250) (@d-monnet) - Add references for R2 and LBFGS in readme #236 (#259) (@hpmouton) - Generalize callback documentation (#263) (@tmigot) - Fix warnings (#264) (@tmigot) - Add time limit on Krylov solvers (#265) (@tmigot) **Closed issues:** - Add references for R2 and LBFGS in readme (#236) - Add time limit in Krylov solvers (#237) - Fix warning conflict on `solve!` (#238) - R2 doesn't stop when sigma overflow (#245) - R2 doc does not list callback function as kwarg (#247) - Issue with the update of NLPModelsModifiers#v0.7.0 (#258) - Callback documentation (#262) - Negative predicted reduction in tron/trunk (#266)
v0.11.1
[Diff since v0.11.0](v0.11.0...v0.11.1) **Merged pull requests:** - [CI] Update .cirrus.yml (#239) (@amontoison) - [documentation] Update Documenter.jl (#240) (@amontoison) - Small update to the docs (#241) (@abelsiqueira) - Removed unnecessary code (#243) (@Jay-sanjay) - Added warning message (#246) (@Jay-sanjay) - fix consistency.jl test (#249) (@d-monnet) - Remove x (#252) (@Jay-sanjay) - Use CITATION.cff instead of CITATION.bib (#253) (@tmigot) - replace σ by 1/α (#255) (@d-monnet) - CompatHelper: bump compat for NLPModelsModifiers to 0.7, (keep existing compat) (#257) (@github-actions[bot]) **Closed issues:** - Docs (#20) - TRON: add a warning if initial guess is not within the bounds (#244) - Remove `x` in tests (#251)
v0.11.0
[Diff since v0.10.0](v0.10.0...v0.11.0) **Closed issues:** - Test allocations of each solver (#161) - Review Krylov.jl usage (#163) - What does "Error: Cauchy step returned: small_step" mean and what can/should I do about it? (#201) - Iteration numbers in tron logging are offset by one. (#207) - max_iter kwarg not supported (R2.jl) (#213) **Merged pull requests:** - Use in-place `cg` in TRON (#202) (@tmigot) - Save allocations in projected line search (#204) (@tmigot) - Save allocations with active indices (#205) (@tmigot) - Save allocations from Hessian operator (#206) (@tmigot) - Fix display TRON (#208) (@tmigot) - Pre-allocate ZHZ operator (#209) (@tmigot) - Save allocations computing `-g` (#210) (@tmigot) - Remove subsolver logger (#211) (@tmigot) - Use Krylov.cg! (#215) (@tmigot) - Remove allocations in TRON (#218) (@tmigot) - Save allocations in TRON-NLS (#220) (@tmigot) - Save allocations in `cauchy_ls` for TRON-NLS (#221) (@tmigot) - Save allocations in `projected_line_search_ls!` for TRON-NLS (#222) (@tmigot) - Resize projected newton subsolver (#223) (@tmigot) - Add allocation test for TRON and TRUNK NLS (#225) (@tmigot) - Use NLS variant for `aredpred!` (#226) (@tmigot) - Add allocation test for bound-constrained problems (#227) (@tmigot) - Update R2.jl (#228) (@farhadrclass) - Review logs (#230) (@tmigot) - Add subsolver verbose in TRON (#232) (@tmigot) - Remove @error macro (#234) (@tmigot) - Version 0.11 (#235) (@tmigot)
v0.10.0
[Diff since v0.9.3](v0.9.3...v0.10.0) **Closed issues:** - Stop criteria for NLS solvers: residual is sufficiently small (#34) - TRON appears to not be using its internal TrustRegion (#181) - Add `max_iter` stopping criterion (#184) - Use `obj` to compute the objective function for NLS (#194) **Merged pull requests:** - Use `objgrad!` at initialization of `lbfgs` (#180) (@tmigot) - Use `max_radius` in TRON (#182) (@tmigot) - Use test problems in allocation tests (#185) (@tmigot) - Add allocation tests for R2 (#186) (@tmigot) - Add small residual check (#187) (@tmigot) - Add `max_iter` in all solvers (#188) (@tmigot) - Add `trunk` in 0-allocs tests (#190) (@tmigot) - Save some allocations in `tron` (#191) (@tmigot) - Save some allocations in Trunk-LS (#192) (@tmigot) - Remove allocations in trunk-nls (#193) (@tmigot) - Avoid using `nls.F` (#195) (@tmigot) - Use obj and grad! in NLS solvers with NLPModels 0.20 (#197) (@tmigot) - Use `NLPModels` parametric type (#198) (@tmigot) - Version 0.10.0 (#200) (@tmigot)
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