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accelerate-typelits: a typesafe way encode accelerate matrices and vectors

[ library, math ] [ Propose Tags ]

a small wrapper plus convenience functions on top of accelerate to represent matrices with their dimensions

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Versions [RSS] 0.1.0.0
Change log ChangeLog.md
Dependencies accelerate (>=0.15 && <0.16), accelerate-random (>=0.15 && <0.16), base (>=4.8 && <5), mwc-random (>=0.13 && <0.14), QuickCheck (>=2.8 && <2.9), smallcheck (>=1.1 && <1.2) [details]
License ISC
Copyright (c) 2016 Martin Heuschober
Author Martin Heuschober
Maintainer Martin Heuschober <epsilonhalbe [at] gmail [dot] com>
Revised Revision 2 made by epsilonhalbe at 2016-05-17T12:35:48Z
Category Math
Bug tracker http://github.com/epsilonhalbe/accelerate-typelits/issues
Source repo head: git clone git://github.com/epsilonhalbe/accelerate-typelits
Uploaded by epsilonhalbe at 2016-05-17T12:01:55Z
Distributions NixOS:0.1.0.0
Downloads 1097 total (2 in the last 30 days)
Rating 2.0 (votes: 1) [estimated by Bayesian average]
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Status Docs uploaded by user
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Readme for accelerate-typelits-0.1.0.0

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Accelerate TypeLits

Build Status Synopsis

This library provides a high level interface to accelerate for matrix computations.

Installation

The simplest way to install this library is using cabal or cabal-sandbox

> cabal install accelerate-typelits

If you want to have the most recent version, the project is on github so you can checkout the project.

> git clone https://github.com/epsilonhalbe/accelerate-typelits.git
> cd accelerate-typelits
> cabal install

> git clone https://github.com/epsilonhalbe/accelerate-typelits.git
> cd accelerate-typelits
> cabal sandbox init
> cabal install

There is also a stack.yaml file included, so one can also use stack in order to compile this library.

> git clone https://github.com/epsilonhalbe/accelerate-typelits.git
> cd accelerate-typelits
> stack --stack-yaml stack-7.10.yaml build

The operators have been designed to give a visual hint of the respective parameters.

  • # for matrices
  • ^ for vectors
  • . for scalars

So for example #*^ represents the multiplication of a matrix with a vector, analogously ^*# works the other way around. Other examples would be #*# for matrix-matrix multiplication and .*^ scalar multiplication of a vector.

Operator precedence is usually the same as the numeric equivalence.

Credits

The matrix-vector and matrix-matrix products have been inspired by Henning Thielemann's accelerate-arithmetic library