doi:10.1002/andp.19163540702> is a concise mathematical notation that implicitly sums over repeated indices of n-dimensional arrays. Many ordinary matrix operations (e.g. transpose, matrix multiplication, scalar product, 'diag()', trace etc.) can be written using Einstein notation. The notation is particularly convenient for expressing operations on arrays with more than two dimensions because the respective operators ('tensor products') might not have a standardized name.">

einsum: Einstein Summation (original) (raw)

The summation notation suggested by Einstein (1916) <doi:10.1002/andp.19163540702> is a concise mathematical notation that implicitly sums over repeated indices of n-dimensional arrays. Many ordinary matrix operations (e.g. transpose, matrix multiplication, scalar product, 'diag()', trace etc.) can be written using Einstein notation. The notation is particularly convenient for expressing operations on arrays with more than two dimensions because the respective operators ('tensor products') might not have a standardized name.

Version: 0.1.2
Imports: Rcpp, glue, mathjaxr
LinkingTo: Rcpp
Suggests: testthat, covr
Published: 2023-08-28
DOI: 10.32614/CRAN.package.einsum
Author: Constantin Ahlmann-EltzeORCID iD [aut, cre]
Maintainer: Constantin Ahlmann-Eltze
BugReports: https://github.com/const-ae/einsum/issues
License: MIT + file
URL: https://const-ae.github.io/einsum/
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: einsum results

Documentation:

Reference manual: einsum.html , <einsum.pdf>

Downloads:

Package source: einsum_0.1.2.tar.gz
Windows binaries: r-devel: einsum_0.1.2.zip, r-release: einsum_0.1.2.zip, r-oldrel: einsum_0.1.2.zip
macOS binaries: r-release (arm64): einsum_0.1.2.tgz, r-oldrel (arm64): einsum_0.1.2.tgz, r-release (x86_64): einsum_0.1.2.tgz, r-oldrel (x86_64): einsum_0.1.2.tgz
Old sources: einsum archive

Reverse dependencies:

Reverse imports: BioImageDbs, DelayedTensor, gcTensor, iTensor

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=einsumto link to this page.