ttTensor: Tensor-Train Decomposition

Tensor-train is a compact representation for higher-order tensors. Some algorithms for performing tensor-train decomposition are available such as TT-SVD, TT-WOPT, and TT-Cross. For the details of the algorithms, see I. V. Oseledets (2011) <doi:10.1137/090752286>, Yuan Longao, et al (2017) <arXiv:1709.02641>, I. V. Oseledets (2010) <doi:10.1016/j.laa.2009.07.024>.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: methods, rTensor, tensorr, PTAk, Matrix
Suggests: testthat
Published: 2021-05-18
Author: Koki Tsuyuzaki [aut, cre], Manabu Ishii [aut], Itoshi Nikaido [aut]
Maintainer: Koki Tsuyuzaki <k.t.the-answer at hotmail.co.jp>
License: Artistic-2.0
URL: https://github.com/rikenbit/ttTensor
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ttTensor results

Documentation:

Reference manual: ttTensor.pdf

Downloads:

Package source: ttTensor_1.0.1.tar.gz
Windows binaries: r-devel: ttTensor_1.0.1.zip, r-release: ttTensor_1.0.1.zip, r-oldrel: ttTensor_1.0.1.zip
macOS binaries: r-release (arm64): ttTensor_1.0.1.tgz, r-oldrel (arm64): ttTensor_1.0.1.tgz, r-release (x86_64): ttTensor_1.0.1.tgz, r-oldrel (x86_64): ttTensor_1.0.1.tgz
Old sources: ttTensor archive

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