Cabal revisions of ad-4.2.1.1
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-name: ad-version: 4.2.1.1-license: BSD3-license-File: LICENSE-copyright: (c) Edward Kmett 2010-2014,- (c) Barak Pearlmutter and Jeffrey Mark Siskind 2008-2009-author: Edward Kmett-maintainer: ekmett@gmail.com-stability: Experimental-category: Math-homepage: http://github.com/ekmett/ad-bug-reports: http://github.com/ekmett/ad/issues-build-type: Custom-cabal-version: >= 1.10-extra-source-files:- .ghci- .gitignore- .travis.yml- .vim.custom- TODO- CHANGELOG.markdown- README.markdown- travis/cabal-apt-install- travis/config- include/instances.h-synopsis: Automatic Differentiation-description:- Forward-, reverse- and mixed- mode automatic differentiation combinators with a common API.- .- Type-level \"branding\" is used to both prevent the end user from confusing infinitesimals- and to limit unsafe access to the implementation details of each Mode.- .- Each mode has a separate module full of combinators.- .- * @Numeric.AD.Mode.Forward@ provides basic forward-mode AD. It is good for computing simple derivatives.- .- * @Numeric.AD.Mode.Reverse@ uses benign side-effects to compute reverse-mode AD. It is good for computing gradients in one pass. It generates a Wengert list (linear tape) using @Data.Reflection@.- .- * @Numeric.AD.Mode.Kahn@ uses benign side-effects to compute reverse-mode AD. It is good for computing gradients in one pass. It generates a tree-like tape that needs to be topologically sorted in the end.- .- * @Numeric.AD.Mode.Sparse@ computes a sparse forward-mode AD tower. It is good for higher derivatives or large numbers of outputs.- .- * @Numeric.AD.Mode.Tower@ computes a dense forward-mode AD tower useful for higher derivatives of single input functions.- .- * @Numeric.AD@ computes using whichever mode or combination thereof is suitable to each individual combinator.- .- While not every mode can provide all operations, the following basic operations are supported, modified as- appropriate by the suffixes below:- .- * 'grad' computes the gradient (partial derivatives) of a function at a point.- .- * 'jacobian' computes the Jacobian matrix of a function at a point.- .- * 'diff' computes the derivative of a function at a point.- .- * 'du' computes a directional derivative of a function at a point.- .- * 'hessian' computes the Hessian matrix (matrix of second partial derivatives) of a function at a point.- .- The following suffixes alter the meanings of the functions above as follows:- .- * @\'@ -- also return the answer- .- * @With@ lets the user supply a function to blend the input with the output- .- * @F@ is a version of the base function lifted to return a 'Traversable' (or 'Functor') result- .- * @s@ means the function returns all higher derivatives in a list or f-branching 'Stream'- .- * @T@ means the result is transposed with respect to the traditional formulation.- .- * @0@ means that the resulting derivative list is padded with 0s at the end.--flag lib-Werror- default: False- manual: True--source-repository head- type: git- location: git://github.com/ekmett/ad.git--library- default-extensions: CPP- hs-source-dirs: src- include-dirs: include- default-language: Haskell2010-- other-extensions:- BangPatterns- DeriveDataTypeable- FlexibleContexts- FlexibleInstances- FunctionalDependencies- GeneralizedNewtypeDeriving- MultiParamTypeClasses- PatternGuards- Rank2Types- ScopedTypeVariables- TemplateHaskell- TypeFamilies- TypeOperators- UndecidableInstances-- build-depends:- array >= 0.2 && < 0.6,- base >= 4.5 && < 5,- comonad >= 4 && < 5,- containers >= 0.2 && < 0.6,- data-reify >= 0.6 && < 0.7,- erf >= 2.0 && < 2.1,- free >= 4.6.1 && < 5,- nats >= 0.1.2 && < 2,- reflection >= 1.4 && < 2,- transformers >= 0.3 && < 0.5-- if impl(ghc < 7.8)- build-depends: tagged >= 0.7 && < 1-- exposed-modules:- Numeric.AD- Numeric.AD.Halley- Numeric.AD.Internal.Dense- Numeric.AD.Internal.Forward- Numeric.AD.Internal.Forward.Double- Numeric.AD.Internal.Identity- Numeric.AD.Internal.Kahn- Numeric.AD.Internal.On- Numeric.AD.Internal.Or- Numeric.AD.Internal.Reverse- Numeric.AD.Internal.Sparse- Numeric.AD.Internal.Tower- Numeric.AD.Internal.Type- Numeric.AD.Jacobian- Numeric.AD.Jet- Numeric.AD.Mode- Numeric.AD.Mode.Forward- Numeric.AD.Mode.Forward.Double- Numeric.AD.Mode.Kahn- Numeric.AD.Mode.Reverse- Numeric.AD.Mode.Sparse- Numeric.AD.Mode.Tower- Numeric.AD.Newton- Numeric.AD.Rank1.Forward- Numeric.AD.Rank1.Forward.Double- Numeric.AD.Rank1.Halley- Numeric.AD.Rank1.Kahn- Numeric.AD.Rank1.Newton- Numeric.AD.Rank1.Sparse- Numeric.AD.Rank1.Tower-- other-modules:- Numeric.AD.Internal.Combinators-- if flag(lib-Werror)- ghc-options: -Werror- else- ghc-options: -Wall-- ghc-options: -fspec-constr -fdicts-cheap -O2---- Verify the results of the examples-test-suite doctests- default-language: Haskell2010- type: exitcode-stdio-1.0- main-is: doctests.hs- build-depends:- base,- directory,- doctest >= 0.9.0.1 && <= 0.10,- filepath- ghc-options: -Wall -threaded- if impl(ghc<7.6)- ghc-options: -Werror- hs-source-dirs: tests--benchmark blackscholes- default-language: Haskell2010- type: exitcode-stdio-1.0- main-is: BlackScholes.hs- hs-source-dirs: bench- build-depends: base, ad, erf, criterion- ghc-options: -fspec-constr -fdicts-cheap -O2+name: ad +version: 4.2.1.1 +x-revision: 1 +license: BSD3 +license-File: LICENSE +copyright: (c) Edward Kmett 2010-2014, + (c) Barak Pearlmutter and Jeffrey Mark Siskind 2008-2009 +author: Edward Kmett +maintainer: ekmett@gmail.com +stability: Experimental +category: Math +homepage: http://github.com/ekmett/ad +bug-reports: http://github.com/ekmett/ad/issues +build-type: Custom +cabal-version: >= 1.10 +extra-source-files: + .ghci + .gitignore + .travis.yml + .vim.custom + TODO + CHANGELOG.markdown + README.markdown + travis/cabal-apt-install + travis/config + include/instances.h +synopsis: Automatic Differentiation +description: + Forward-, reverse- and mixed- mode automatic differentiation combinators with a common API. + . + Type-level \"branding\" is used to both prevent the end user from confusing infinitesimals + and to limit unsafe access to the implementation details of each Mode. + . + Each mode has a separate module full of combinators. + . + * @Numeric.AD.Mode.Forward@ provides basic forward-mode AD. It is good for computing simple derivatives. + . + * @Numeric.AD.Mode.Reverse@ uses benign side-effects to compute reverse-mode AD. It is good for computing gradients in one pass. It generates a Wengert list (linear tape) using @Data.Reflection@. + . + * @Numeric.AD.Mode.Kahn@ uses benign side-effects to compute reverse-mode AD. It is good for computing gradients in one pass. It generates a tree-like tape that needs to be topologically sorted in the end. + . + * @Numeric.AD.Mode.Sparse@ computes a sparse forward-mode AD tower. It is good for higher derivatives or large numbers of outputs. + . + * @Numeric.AD.Mode.Tower@ computes a dense forward-mode AD tower useful for higher derivatives of single input functions. + . + * @Numeric.AD@ computes using whichever mode or combination thereof is suitable to each individual combinator. + . + While not every mode can provide all operations, the following basic operations are supported, modified as + appropriate by the suffixes below: + . + * 'grad' computes the gradient (partial derivatives) of a function at a point. + . + * 'jacobian' computes the Jacobian matrix of a function at a point. + . + * 'diff' computes the derivative of a function at a point. + . + * 'du' computes a directional derivative of a function at a point. + . + * 'hessian' computes the Hessian matrix (matrix of second partial derivatives) of a function at a point. + . + The following suffixes alter the meanings of the functions above as follows: + . + * @\'@ -- also return the answer + . + * @With@ lets the user supply a function to blend the input with the output + . + * @F@ is a version of the base function lifted to return a 'Traversable' (or 'Functor') result + . + * @s@ means the function returns all higher derivatives in a list or f-branching 'Stream' + . + * @T@ means the result is transposed with respect to the traditional formulation. + . + * @0@ means that the resulting derivative list is padded with 0s at the end. + +flag lib-Werror + default: False + manual: True + +source-repository head + type: git + location: git://github.com/ekmett/ad.git + +library + default-extensions: CPP + hs-source-dirs: src + include-dirs: include + default-language: Haskell2010 + + other-extensions: + BangPatterns + DeriveDataTypeable + FlexibleContexts + FlexibleInstances + FunctionalDependencies + GeneralizedNewtypeDeriving + MultiParamTypeClasses + PatternGuards + Rank2Types + ScopedTypeVariables + TemplateHaskell + TypeFamilies + TypeOperators + UndecidableInstances + + build-depends: + array >= 0.2 && < 0.6, + base >= 4.5 && < 4.18, + comonad >= 4 && < 5, + containers >= 0.2 && < 0.6, + data-reify >= 0.6 && < 0.7, + erf >= 2.0 && < 2.1, + free >= 4.6.1 && < 5, + nats >= 0.1.2 && < 2, + reflection >= 1.4 && < 2, + transformers >= 0.3 && < 0.5 + + if impl(ghc < 7.8) + build-depends: tagged >= 0.7 && < 1 + + exposed-modules: + Numeric.AD + Numeric.AD.Halley + Numeric.AD.Internal.Dense + Numeric.AD.Internal.Forward + Numeric.AD.Internal.Forward.Double + Numeric.AD.Internal.Identity + Numeric.AD.Internal.Kahn + Numeric.AD.Internal.On + Numeric.AD.Internal.Or + Numeric.AD.Internal.Reverse + Numeric.AD.Internal.Sparse + Numeric.AD.Internal.Tower + Numeric.AD.Internal.Type + Numeric.AD.Jacobian + Numeric.AD.Jet + Numeric.AD.Mode + Numeric.AD.Mode.Forward + Numeric.AD.Mode.Forward.Double + Numeric.AD.Mode.Kahn + Numeric.AD.Mode.Reverse + Numeric.AD.Mode.Sparse + Numeric.AD.Mode.Tower + Numeric.AD.Newton + Numeric.AD.Rank1.Forward + Numeric.AD.Rank1.Forward.Double + Numeric.AD.Rank1.Halley + Numeric.AD.Rank1.Kahn + Numeric.AD.Rank1.Newton + Numeric.AD.Rank1.Sparse + Numeric.AD.Rank1.Tower + + other-modules: + Numeric.AD.Internal.Combinators + + if flag(lib-Werror) + ghc-options: -Werror + else + ghc-options: -Wall + + ghc-options: -fspec-constr -fdicts-cheap -O2 + +-- Verify the results of the examples +test-suite doctests + default-language: Haskell2010 + type: exitcode-stdio-1.0 + main-is: doctests.hs + build-depends: + base, + directory, + doctest >= 0.9.0.1 && <= 0.10, + filepath + ghc-options: -Wall -threaded + if impl(ghc<7.6) + ghc-options: -Werror + hs-source-dirs: tests + +benchmark blackscholes + default-language: Haskell2010 + type: exitcode-stdio-1.0 + main-is: BlackScholes.hs + hs-source-dirs: bench + build-depends: base, ad, erf, criterion + ghc-options: -fspec-constr -fdicts-cheap -O2