accelerate-typelits: a typesafe way encode accelerate matrices and vectors
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 | |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Downloads | 1163 total (4 in the last 30 days) |
| Rating | 2.0 (votes: 1) [estimated by Bayesian average] |
| Your Rating | |
| Status | Docs uploaded by user Build status unknown [no reports yet] |
Readme for accelerate-typelits-0.1.0.0
[back to package description]Accelerate TypeLits
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