numeric-optimization-ad: Wrapper of numeric-optimization package for using with AD package
Please see the README on GitHub at https://github.com/msakai/nonlinear-optimization-ad/tree/master/numeric-optimization-ad#readme
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| Versions [RSS] | 0.1.0.0, 0.1.0.1 |
|---|---|
| Change log | CHANGELOG.md |
| Dependencies | ad (>=4.3.6 && <4.6), base (>=4.12 && <5), data-default-class, hmatrix (>=0.20.0.0), numeric-optimization (>=0.1.0.0 && <0.2.0.0), numeric-optimization-ad, primitive (>=0.6.4.0), reflection (>=2.1.5), vector (>=0.12.0.2 && <0.14) [details] |
| License | BSD-3-Clause |
| Copyright | Copyright (c) 2023 Masahiro Sakai |
| Author | Masahiro Sakai |
| Maintainer | masahiro.sakai@gmail.com |
| Category | Math, Algorithms, Optimisation, Optimization |
| Home page | https://github.com/msakai/nonlinear-optimization-ad#readme |
| Bug tracker | https://github.com/msakai/nonlinear-optimization-ad/issues |
| Source repo | head: git clone https://github.com/msakai/nonlinear-optimization-ad |
| Uploaded | by MasahiroSakai at 2023-06-03T08:34:01Z |
| Distributions | NixOS:0.1.0.1 |
| Executables | rosenbrock-ad |
| Downloads | 84 total (9 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 2023-06-03 [all 1 reports] |
Readme for numeric-optimization-ad-0.1.0.1
[back to package description]numeric-optimization-ad
Wrapper of numeric-optimization package for using with ad package
Example Usage
{-# LANGUAGE FlexibleContexts #-}
import Numeric.Optimization.AD
main :: IO ()
main = do
result <- minimize LBFGS def rosenbrock Nothing [] [-3,-4]
print (resultSuccess result) -- True
print (resultSolution result) -- [0.999999999009131,0.9999999981094296]
print (resultValue result) -- 1.8129771632403013e-18
-- https://en.wikipedia.org/wiki/Rosenbrock_function
rosenbrock :: Floating a => [a] -> a
-- rosenbrock :: Reifies s Tape => [Reverse s Double] -> Reverse s Double
rosenbrock [x,y] = sq (1 - x) + 100 * sq (y - sq x)
sq :: Floating a => a -> a
sq x = x ** 2