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numeric-optimization 0.1.0.0 → 0.1.0.1

raw patch · 4 files changed

+27/−10 lines, 4 files

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CHANGELOG.md view
@@ -8,4 +8,11 @@  ## Unreleased -## 0.1.0.0 - YYYY-MM-DD+## 0.1.0.1 - 2023-06-03++* Various documentation fixes+* Fix `build-examples` flag to work++## 0.1.0.0 - 2023-06-03++* Initial release.
README.md view
@@ -1,5 +1,9 @@ # numeric-optimization +[![Hackage](https://img.shields.io/hackage/v/numeric-optimization.svg)](https://hackage.haskell.org/package/numeric-optimization)+[![Hackage Deps](https://img.shields.io/hackage-deps/v/numeric-optimization.svg)](https://packdeps.haskellers.com/feed?needle=numeric-optimization)+[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)+ Unified interface to various numerical optimization algorithms.  Note that the package name is numeric-optimization and not numeri**cal**-optimization.@@ -46,8 +50,8 @@ ## Related Packages  * Packages for using with automatic differentiation:-  * [numerical-optimization-ad](https://hackage.haskell.org/package/numerical-optimization-ad) for using with [ad](https://hackage.haskell.org/package/ad) package-  * [numerical-optimization-backprop](https://hackage.haskell.org/package/numerical-optimization-backprop) for using with [backprop](https://hackage.haskell.org/package/backprop) package+  * [numeric-optimization-ad](https://hackage.haskell.org/package/numeric-optimization-ad) for using with [ad](https://hackage.haskell.org/package/ad) package+  * [numeric-optimization-backprop](https://hackage.haskell.org/package/numeric-optimization-backprop) for using with [backprop](https://hackage.haskell.org/package/backprop) package * [MIP](https://hackage.haskell.org/package/MIP) for solving linear programming and mixed-integer linear programming problems  ## LICENSE
numeric-optimization.cabal view
@@ -5,15 +5,15 @@ -- see: https://github.com/sol/hpack  name:           numeric-optimization-version:        0.1.0.0+version:        0.1.0.1 synopsis:       Unified interface to various numerical optimization algorithms description:    Please see the README on GitHub at <https://github.com/msakai/nonlinear-optimization-ad/tree/master/numeric-optimization#readme> category:       Math, Algorithms, Optimisation, Optimization-homepage:       https://github.com/msakai/numeric-optimization#readme-bug-reports:    https://github.com/msakai/numeric-optimization/issues+homepage:       https://github.com/msakai/nonlinear-optimization-ad#readme+bug-reports:    https://github.com/msakai/nonlinear-optimization-ad/issues author:         Masahiro Sakai maintainer:     masahiro.sakai@gmail.com-copyright:      Masahiro Sakai &lt;masahiro.sakai@gmail.com&gt;+copyright:      Copyright (c) 2023 Masahiro Sakai license:        BSD3 license-file:   LICENSE build-type:     Simple@@ -30,7 +30,7 @@  source-repository head   type: git-  location: https://github.com/msakai/numeric-optimization+  location: https://github.com/msakai/nonlinear-optimization-ad  flag build-examples   description: Build example programs@@ -79,6 +79,10 @@     , numeric-optimization     , vector >=0.12.0.2 && <0.14   default-language: Haskell2010+  if flag(build-examples)+    buildable: True+  else+    buildable: False  test-suite numeric-optimization-test   type: exitcode-stdio-1.0
src/Numeric/Optimization.hs view
@@ -20,8 +20,10 @@ -- optimization, like [scipy.optimize](https://docs.scipy.org/doc/scipy/reference/optimize.html) in Python. -- -- In this module, you need to explicitly provide the function to calculate the--- gradient, -- but you can use @numeric-optimization-ad@ or--- @numeric-optimization-backprop@ to define it using automatic differentiation.+-- gradient, but you can use+-- [numeric-optimization-ad](https://hackage.haskell.org/package/numeric-optimization-ad) or+-- [numeric-optimization-backprop](https://hackage.haskell.org/package/numeric-optimization-backprop)+-- to define it using automatic differentiation. -- ----------------------------------------------------------------------------- module Numeric.Optimization