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einsum: Einstein Summation

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-Eltze ORCID iD [aut, cre]
Maintainer: Constantin Ahlmann-Eltze <artjom31415 at googlemail.com>
BugReports: https://github.com/const-ae/einsum/issues
License: MIT + file LICENSE
URL: https://const-ae.github.io/einsum/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: einsum results

Documentation:

Reference manual: 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 form https://CRAN.R-project.org/package=einsum to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.