tINV

Performs the inverse of a tensor using the any discrete transform.

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>.

Kyle A Caudle

rTensor2

MultiLinear Algebra

Kyle Caudle

Randy Hoover

Jackson Cates

tINV function

<dl><dt>tnsr</dt>
<dd>: a 3-mode tensor</dd>
<dt>tform</dt>
<dd>: Any discrete transform. Supported transforms are:
fft: Fast Fourier Transform
dwt: Discrete Wavelet Transform (Haar Wavelet)
dct: Discrete Cosine transform
dst: Discrete Sine transform
dht: Discrete Hadley transform
dwht: Discrete Walsh-Hadamard transform</dd></dl>

Arguments

Kyle Caudle
Randy Hoover
Jackson Cates

Author

Inverse of a 3-mode Tensor Using any Discrete Transform — tINV

<dl>

<dt>tnsr</dt>
<dd>: a 3-mode tensor</dd>


<dt>tform</dt>
<dd>: Any discrete transform. Supported transforms are:
fft: Fast Fourier Transform
dwt: Discrete Wavelet Transform (Haar Wavelet)
dct: Discrete Cosine transform
dst: Discrete Sine transform
dht: Discrete Hadley transform
dwht: Discrete Walsh-Hadamard transform</dd>

</dl>

tINV: Inverse of a 3-mode Tensor Using any Discrete Transform

Description

Usage

Value

Arguments

Author

Examples