May 16, 2024
Saeed Karimi

Saeed Karimi

Academic Rank: Associate professor
Address:
Degree: Ph.D in Applied Mathematics
Phone: 07733447965
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title A fast and efficient Newton-Shultz-type iterative method for computing inverse and Moore-Penrose inverse of tensors
Type Article
Keywords
Tensor, iterative methods, Moore-Penrose inverse, outer inverse, Einstein product
Journal Journal of Mathematical Modeling
DOI DOI: 10.22124/jmm.2021.19005.1627
Researchers Saeed Karimi (Second researcher)

Abstract

A fast and efficient Newton-Shultz-type iterative method is presented to compute the inverse of an invertible tensor. Analysis of the convergence error shows that the proposed method has the sixth order convergence. It is shown that the proposed algorithm can be used for finding the Moore-Penrose inverse of tensors. Computational complexities of the algorithm is presented to support the theoretical aspects of the paper. Using the new method, we obtain a new preconditioner to solve the multilinear system A ∗N X = B. The effectiveness and accuracy of this method are re-verified by several numerical examples. Finally, some conclusions are given.