Computation of tensors generalized inverses under $M$-product and applications

Fuente: arXiv
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Autori principali: Sahoo, Jajati Keshari, Panda, Saroja Kumar, Behera, Ratikanta, Stanimirović, Predrag S.
Natura: Preprint
Pubblicazione: 2024
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author Sahoo, Jajati Keshari
Panda, Saroja Kumar
Behera, Ratikanta
Stanimirović, Predrag S.
author_facet Sahoo, Jajati Keshari
Panda, Saroja Kumar
Behera, Ratikanta
Stanimirović, Predrag S.
contents This paper introduces notions of the Drazin and the core-EP inverses on tensors via M-product. We propose a few properties of the Drazin and core-EP inverses of tensors, as well as effective tensor-based algorithms for calculating these inverses. In addition, definitions of composite generalized inverses are presented in the framework of the M-product, including CMP, DMP, and MPD inverse of tensors. Tensor-based higher-order Gauss-Seidel and Gauss-Jacobi iterative methods are designed. Algorithms for these two iterative methods to solve multilinear equations are developed. Certain multilinear systems are solved using the Drazin inverse, core-EP inverses, and composite generalized inverses such as CMP, DMP, and MPD inverse. A tensor M-product-based regularization technique is applied to solve the color image deblurring.
format Preprint
id arxiv_https___arxiv_org_abs_2405_16111
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Computation of tensors generalized inverses under $M$-product and applications
Sahoo, Jajati Keshari
Panda, Saroja Kumar
Behera, Ratikanta
Stanimirović, Predrag S.
Numerical Analysis
This paper introduces notions of the Drazin and the core-EP inverses on tensors via M-product. We propose a few properties of the Drazin and core-EP inverses of tensors, as well as effective tensor-based algorithms for calculating these inverses. In addition, definitions of composite generalized inverses are presented in the framework of the M-product, including CMP, DMP, and MPD inverse of tensors. Tensor-based higher-order Gauss-Seidel and Gauss-Jacobi iterative methods are designed. Algorithms for these two iterative methods to solve multilinear equations are developed. Certain multilinear systems are solved using the Drazin inverse, core-EP inverses, and composite generalized inverses such as CMP, DMP, and MPD inverse. A tensor M-product-based regularization technique is applied to solve the color image deblurring.
title Computation of tensors generalized inverses under $M$-product and applications
topic Numerical Analysis
url https://arxiv.org/abs/2405.16111