Published September 5, 2020
| Version v1.0.0
Software
Open
JuliaNLSolvers/Optim.jl: v1.0.0
Authors/Creators
- Patrick Kofod Mogensen1
- John Myles White2
- Asbjørn Nilsen Riseth3
- Tim Holy4
- Miles Lubin5
- Christof Stocker
- Andreas Noack1
- Antoine Levitt
- Christoph Ortner6
- Blake Johnson7
- Dahua Lin8
- Kristoffer Carlsson1
- Yichao Yu9
- Christopher Rackauckas10
- Alex Williams
- Ben Kuhn11
- Jeffrey Regier12
- cossio
- Ron Rock13
- Thomas R. Covert14
- Takafumi Arakaki
- Alexey Stukalov15
- Andrew Clausen
- Benjamin Deonovic16
- Benoît Legat17
- Don MacMillen
- Iain Dunning18
- Jarrett Revels19
- Josua Grawitter
- 1. @JuliaComputing
- 2. Facebook
- 3. University of Oxford
- 4. Washington University in St. Louis
- 5. @google
- 6. University of British Columbia
- 7. IBM Research
- 8. The Chinese University of Hong Kong
- 9. Harvard
- 10. Massachusetts Institute of Technology
- 11. @wavemm
- 12. University of Michigan
- 13. The University of Chicago
- 14. @uchicago
- 15. Technical University of Munich
- 16. ACT, Inc.
- 17. ICTEAM, UCL
- 18. Hudson River Trading
- 19. Beacon Biosignals
Description
Optim v1.0.0
Closed issues:
- usage with JuMP? (#107)
- Generalize Optim.jl to be an interface for nonlinear optimization (#309)
- Multidimensional arrays (#399)
- ProgressMeter (#442)
- Missing docstrings (#469)
- L-BFGS-(B) (#521)
- Finite differencing should respect box constraints (#541)
- Todo: SAMIN (#555)
- Some questions about convergence assessment and results (#574)
- Going below sqrt(eps) (#631)
- Project manifold tangent when we reset search direction (#649)
- Rename
optimizetominimize? (#685) - Preallocate caches in Fminbox to avoid unnecessary value_gradient!! calls (#704)
- No default objective type for IPNewton (#711)
- Fminbox() using parameters outside of the box specified (#712)
- only_fgh! doesn't work if algorithm does not need Hessian (#718)
- Bug in Stiefel_CholQR (#752)
- Intermittent assertion error in HagerZhang (#802)
- Success when none of convergence measures is satisfied (#806)
- feature request: default to gradient-based method when user passes fg! (#816)
- Use AbstractConstrainedOptimizer as the parent type for all the constrained optimizers? (#818)
- Type instability (#820)
- Confusing behavior of f_abstol with Fminbox (#821)
- Univariate optimization does not stop when callback returns true (#822)
- Optim: No method matching iterate (#824)
- Brent still broken for flat functions (#827)
- Comment doesn't really seem to reflect logic in code (#830)
- Computing the inverse of Hessian in Newton's method (#832)
- Fminbox optimization does not exit when callback returns true (#834)
- Particle Swarm algorithm fails in very simple objective function (#835)
- ParticleSwarm does not respect
Optim.Options(iterations=x)(#836) - Missing website (#841)
- ERROR: ArgumentError: Value and slope at step length = 0 must be finite. (#842)
- Problems with BigFloat (#844)
- indexing issue with ArrayParition arguments (#848)
- NealderMead recalculates same points: (#852)
- Functor Support with Univariate analysis (#853)
- Warning (again) on LinearAlgebra.dot (#855)
Merged pull requests:
- WIP: Corrected Stiefel_CholQR (#753) (@jagot)
- Add callback stops for univariate optimization. (#831) (@pkofod)
- Test fgh! (#838) (@pkofod)
- Update .travis.yml (#839) (@pkofod)
- Bump FillArrays version (#840) (@JeffFessler)
- Make promote_obj noop for ipnewton and twicediffed (#845) (@pkofod)
- Add methods for (Not)InplaceObjective to optimize when not method is … (#846) (@pkofod)
- Allow that f can increase from iteration to iteration (#847) (@pkofod)
- Fix project_tangent! and retract! args in manual (#849) (@thisrod)
- Don't re-create the cache in every iteration of Fminbox as it calls the objective too often (#850) (@pkofod)
- Don't use Function signatures. (#854) (@pkofod)
- Fix some outstanding Fminbox issues (#856) (@pkofod)
Files
JuliaNLSolvers/Optim.jl-v1.0.0.zip
Files
(343.3 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/JuliaNLSolvers/Optim.jl/tree/v1.0.0 (URL)