sparse-tensor: typesafe tensor algebra library
This package is intended to be used as a general purpose tensor algebra library. It defines the usual tensor algebra functions such as addition, scalar multiplication, tensor product, and contractions, but also general symmetrizations and further utility functions.
The implemented tensor data type is capable of being used with an arbitrary number of general abstract indices and can incorporate values of any type that allow for a meaningful addition, scaling, and multiplication. The package is thus very flexible and can easily be customised at wish.
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|Versions [faq]||0.1.0.0, 0.2, 0.2.1, 0.2.1.1, 0.2.1.2|
|Dependencies||ad (>=4.2 && <4.4), base (>=4.9 && <5), bytestring (==0.10.*), cereal (>=0.4 && <0.6), containers (>=0.5 && <0.7), deepseq (>=1.1 && <1.5), ghc-typelits-knownnat (>=0.2 && <0.7), ghc-typelits-natnormalise (>=0.5 && <0.7), hmatrix (>=0.16.1 && <0.21), parallel (==3.2.*), tf-random (==0.5.*), zlib (==0.6.*) [details]|
|Copyright||2019 Tobias Reinhart and Nils Alex|
|Author||Tobias Reinhart and Nils Alex|
|Category||Data, Math, Algebra|
|Source repo||head: git clone git://github.com/TobiReinhart/sparse-tensor.git|
|Uploaded||by nalex at Wed Aug 21 14:40:47 UTC 2019|
|Downloads||583 total (140 in the last 30 days)|
|Rating||(no votes yet) [estimated by Bayesian average]|
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