Iterative Matrix Techniques Based on Averages

Matrices have an important role in modern engineering problems like artificial intelligence, biomedicine, machine learning, etc. The present paper proposes new algorithms to solve linear problems involving finite matrices as well as operators in infinite dimensions. It is well known that the power m...

Full description

Saved in:
Bibliographic Details
Main Author: María A. Navascués
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/18/7/439
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850067369369534464
author María A. Navascués
author_facet María A. Navascués
author_sort María A. Navascués
collection DOAJ
description Matrices have an important role in modern engineering problems like artificial intelligence, biomedicine, machine learning, etc. The present paper proposes new algorithms to solve linear problems involving finite matrices as well as operators in infinite dimensions. It is well known that the power method to find an eigenvalue and an eigenvector of a matrix requires the existence of a dominant eigenvalue. This article proposes an iterative method to find eigenvalues of matrices without a dominant eigenvalue. This algorithm is based on a procedure involving averages of the mapping and the independent variable. The second contribution is the computation of an eigenvector associated with a known eigenvalue of linear operators or matrices. Then, a novel numerical method for solving a linear system of equations is studied. The algorithm is especially suitable for cases where the iteration matrix has a norm equal to one or the standard iterative method based on fixed point approximation converges very slowly. These procedures are applied to the resolution of Fredholm integral equations of the first kind with an arbitrary kernel by means of orthogonal polynomials, and in a particular case where the kernel is separable. Regarding the latter case, this paper studies the properties of the associated Fredholm operator.
format Article
id doaj-art-d7ad1a2dd94e442da5c02eae41c9cb7e
institution DOAJ
issn 1999-4893
language English
publishDate 2025-07-01
publisher MDPI AG
record_format Article
series Algorithms
spelling doaj-art-d7ad1a2dd94e442da5c02eae41c9cb7e2025-08-20T02:48:19ZengMDPI AGAlgorithms1999-48932025-07-0118743910.3390/a18070439Iterative Matrix Techniques Based on AveragesMaría A. Navascués0Department of Applied Mathematics, Universidad de Zaragoza, 50018 Zaragoza, SpainMatrices have an important role in modern engineering problems like artificial intelligence, biomedicine, machine learning, etc. The present paper proposes new algorithms to solve linear problems involving finite matrices as well as operators in infinite dimensions. It is well known that the power method to find an eigenvalue and an eigenvector of a matrix requires the existence of a dominant eigenvalue. This article proposes an iterative method to find eigenvalues of matrices without a dominant eigenvalue. This algorithm is based on a procedure involving averages of the mapping and the independent variable. The second contribution is the computation of an eigenvector associated with a known eigenvalue of linear operators or matrices. Then, a novel numerical method for solving a linear system of equations is studied. The algorithm is especially suitable for cases where the iteration matrix has a norm equal to one or the standard iterative method based on fixed point approximation converges very slowly. These procedures are applied to the resolution of Fredholm integral equations of the first kind with an arbitrary kernel by means of orthogonal polynomials, and in a particular case where the kernel is separable. Regarding the latter case, this paper studies the properties of the associated Fredholm operator.https://www.mdpi.com/1999-4893/18/7/439power methodeigenvalueslinear systemsiterative methodsFredholm integral equationsspectrum
spellingShingle María A. Navascués
Iterative Matrix Techniques Based on Averages
Algorithms
power method
eigenvalues
linear systems
iterative methods
Fredholm integral equations
spectrum
title Iterative Matrix Techniques Based on Averages
title_full Iterative Matrix Techniques Based on Averages
title_fullStr Iterative Matrix Techniques Based on Averages
title_full_unstemmed Iterative Matrix Techniques Based on Averages
title_short Iterative Matrix Techniques Based on Averages
title_sort iterative matrix techniques based on averages
topic power method
eigenvalues
linear systems
iterative methods
Fredholm integral equations
spectrum
url https://www.mdpi.com/1999-4893/18/7/439
work_keys_str_mv AT mariaanavascues iterativematrixtechniquesbasedonaverages