nonlinear-optimization-ad: Wrapper of nonlinear-optimization package for using with AD package
[ algorithms, gpl, library, math, optimisation, optimization ]
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This package enhances nonlinear-optimization's usability by using ad's automatic differentiation. You only need to specify a function to minimize and don't need to specify its gradient explicitly.
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Name | Description | Default |
---|---|---|
buildsampleprograms | build sample programs | Disabled |
Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info
Downloads
- nonlinear-optimization-ad-0.2.4.tar.gz [browse] (Cabal source package)
- Package description (revised from the package)
Note: This package has metadata revisions in the cabal description newer than included in the tarball. To unpack the package including the revisions, use 'cabal get'.
Maintainer's Corner
For package maintainers and hackage trustees
Candidates
Versions [RSS] | 0.1.0, 0.2.0, 0.2.1, 0.2.2, 0.2.3, 0.2.4 |
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Change log | CHANGELOG.markdown |
Dependencies | ad (>=3.4 && <4.6), base (>=4 && <5), bytestring, cassava, nonlinear-optimization (>=0.3.7 && <0.4), nonlinear-optimization-ad, primitive, reflection, vector (>=0.5 && <0.14) [details] |
Tested with | ghc ==8.8.2, ghc ==8.6.4, ghc ==8.4.4, ghc ==8.2.2, ghc ==8.0.2, ghc ==7.10.3, ghc ==7.8.4 |
License | GPL-3.0-only |
Copyright | (c) 2013 Masahiro Sakai |
Author | Masahiro Sakai (masahiro.sakai@gmail.com) |
Maintainer | masahiro.sakai@gmail.com |
Revised | Revision 3 made by MasahiroSakai at 2022-08-20T14:38:07Z |
Category | Math, Algorithms, Optimisation, Optimization |
Home page | https://github.com/msakai/nonlinear-optimization-ad |
Bug tracker | https://github.com/msakai/nonlinear-optimization-ad/issues |
Source repo | head: git clone git://github.com/msakai/nonlinear-optimization-ad.git |
Uploaded | by MasahiroSakai at 2020-02-29T15:49:25Z |
Distributions | |
Reverse Dependencies | 1 direct, 0 indirect [details] |
Executables | LinearRegression |
Downloads | 3968 total (14 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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Status | Docs available [build log] Last success reported on 2020-02-29 [all 1 reports] |