Package: rTensor2 2.0.0

rTensor2: MultiLinear Algebra

A set of tools for basic tensor operators. A tensor in the context of data analysis in a multidimensional array. The tools in this package rely on using any discrete transformation (e.g. Fast Fourier Transform (FFT)). Standard tools included are the Eigenvalue decomposition of a tensor, the QR decomposition and LU decomposition. Other functionality includes the inverse of a tensor and the transpose of a symmetric tensor. Functionality in the package is outlined in Kernfeld et al. (2015) <https://www.sciencedirect.com/science/article/pii/S0024379515004358>.

Authors:Kyle Caudle [aut, cre], Randy Hoover [ctb], Jackson Cates [ctb]

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rTensor2.pdf |rTensor2.html✨
rTensor2/json (API)
NEWS

# Install 'rTensor2' in R:
install.packages('rTensor2', repos = c('https://kylecaudle.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Mnist - Subset of MNIST training and testing data.
  • raytrace - Subset of raytrace data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.78 score 1 packages 2 scripts 139 downloads 46 exports 13 dependencies

Last updated 8 months agofrom:f15710b17e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winOKNov 11 2024
R-4.5-linuxOKNov 11 2024
R-4.4-winOKNov 11 2024
R-4.4-macOKNov 11 2024
R-4.3-winOKNov 11 2024
R-4.3-macOKNov 11 2024

Exports:as.tensorLUpolarQRrand_tensort_tposetDWTtEIGtEIGdcttEIGdhttEIGdsttEIGdwhttEIGdwttEIGffttIDWTtINVtINVdcttINVdhttINVdsttINVdwhttINVdwttINVffttLDAtLUtLUdcttLUdhttLUdsttLUdwhttLUdwttLUffttmeantmulttQRtQRdcttQRdhttQRdsttQRdwhttQRdwttQRffttSVDtSVDdcttSVDdhttSVDdsttSVDdwhttSVDdwttSVDfft

Dependencies:gsignallatticeMASSMatrixmatrixcalcpngpracmarasterRcpprTensorspterrawavethresh

rTensor2

Rendered fromrTensor2.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2024-03-30
Started: 2024-02-23

Readme and manuals

Help Manual

Help pageTopics
Tensor Conversionas.tensor
LU Decomposition of a Complex MatrixLU
Subset of MNIST training and testing data.Mnist
Polar/Jordan Form of a Matrixpolar
QR Decomposition of a Complex Matrix Without PivotingQR
Tensor with Random Entriesrand_tensor
Subset of raytrace dataraytrace
Transpose 3-mode Tensort_tpose
Discrete Wavelet Transform of a 3-D TensortDWT
Tensor Eigenvalue Decomposition Using any Discrete TransformtEIG
Tensor Eigenvalue Decomposition Using the Discrete Cosine TransformtEIGdct
Tensor Eigenvalue Decomposition Using the Discrete Hadley TransformtEIGdht
Tensor Eigenvalue Decomposition Using the Discrete Sine TransformtEIGdst
Tensor Eigenvalue Decomposition Using the Discrete Walsh-Hadamard TransformtEIGdwht
Tensor Eigenvalue Decomposition Using the Discrete Wavelet TransformtEIGdwt
Tensor Eigenvalue Decomposition Using the Discrete Fourier TransformtEIGfft
Discrete Inverse Wavelet Transform of a 3-D TensortIDWT
Inverse of a 3-mode Tensor Using any Discrete TransformtINV
Inverse of a 3-mode Tensor Using the Discrete Cosine TransformtINVdct
Inverse of a 3-mode Tensor Using the Discrete Hartley TransformtINVdht
Inverse of a 3-mode Tensor Using the Discrete Sine TransformtINVdst
Inverse of a 3-mode Tensor Using the Discrete Walsh-Hadamard TransformtINVdwht
Inverse of a 3-mode Tensor Using the Discrete Wavelet TransformtINVdwt
Inverse of a 3-mode Tensor Using the Discrete Fourier TransformtINVfft
Linear Discriminate Analysis of a 3-mode Tensor Using any Discrete TransformtLDA
Tensor LU Decomposition Using Using Any Discrete TransformtLU
Tensor LU Decomposition Using the Discrete Cosine TransformtLUdct
Tensor LU Decomposition Using the Discrete Hartley TransformtLUdht
Tensor LU Decomposition Using the Discrete Cosine TransformtLUdst
Tensor LU Decomposition Using the Discrete Walsh-Hadamard TransformtLUdwht
Tensor LU Decomposition Using the Discrete Wavelet TransformtLUdwt
Tensor LU Decomposition Using the Discrete Fourier TransformtLUfft
Find the mean of a tensortmean
Tensor Multiplication Using Any Discrete Transformtmult
Tensor QR Decomposition Using Using Any Discrete TransformtQR
Tensor QR Decomposition Using the Discrete Cosine TransformtQRdct
Tensor QR Decomposition Using the Discrete Hartley TransformtQRdht
Tensor QR Decomposition Using the Discrete Sine TransformtQRdst
Tensor QR Decomposition Using the Discrete Walsh-Hadamard TransformtQRdwht
Tensor QR Decomposition Using the Discrete Wavelet TransformtQRdwt
Tensor QR Decomposition Using the Discrete Fourier TransformtQRfft
Tensor Singular Value Decomposition Using Any Discrete TransformtSVD
Tensor Singular Value Decomposition Using the Discrete Cosine TransformtSVDdct
Tensor Singular Value Decomposition Using the Discrete Harley TransformtSVDdht
Tensor Singular Value Decomposition Using the Discrete Sine TransformtSVDdst
Tensor Singular Value Decomposition Using the Discrete Walsh-Hadamard TransformtSVDdwht
Tensor Singular Value Decomposition Using the Discrete Wavelet TransformtSVDdwt
Tensor Singular Value Decomposition Using the Discrete Fourier TransformtSVDfft