Have a personal or library account? Click to login
Evaluating 



AT,S(2)
A_{T,S}^{\left( 2 \right)}


 Matrix Inverses from full-rank Singular Value Decomposition Cover

Evaluating AT,S(2) A_{T,S}^{\left( 2 \right)} Matrix Inverses from full-rank Singular Value Decomposition

Open Access
|Jun 2025

Abstract

Based on the compact SVD decomposition of the full rank of a predetermined matrix M, a method for calculating the inverses AT,S(2) A_{T,S}^{\left( 2 \right)} of matrix A is derived. As a consequence, the advantages of compact single value decompositions were developed with this new method. The method is then extended to a set of polynomial matrices. As a result, an algorithm is proposed for effective symbolic computation of AT,S(2) A_{T,S}^{\left( 2 \right)} inverses of a polynomial matrix. Some implementation details and comparative computation times compared to other similar methods are shown to illustrate the efficiency of the algorithm.

DOI: https://doi.org/10.2478/auom-2025-0023 | Journal eISSN: 1844-0835 | Journal ISSN: 1224-1784
Language: English
Page range: 143 - 156
Submitted on: Jul 4, 2024
Accepted on: Nov 25, 2024
Published on: Jun 3, 2025
Published by: Ovidius University of Constanta
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year

© 2025 Ivan Stanimirović, published by Ovidius University of Constanta
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.