An Improved Diagonal Transformation Algorithm for the Maximum Eigenvalue of Zero Symmetric Nonnegative Matrices

The irreducibility of nonnegative matrices is an important condition for the diagonal transformation algorithm to succeed. In this paper, we introduce zero symmetry to replace the irreducibility of nonnegative matrices and propose an improved diagonal transformation algorithm for finding the maximum...

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Main Authors: Gang Wang, Jinfa Liu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/14/8/1707
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author Gang Wang
Jinfa Liu
author_facet Gang Wang
Jinfa Liu
author_sort Gang Wang
collection DOAJ
description The irreducibility of nonnegative matrices is an important condition for the diagonal transformation algorithm to succeed. In this paper, we introduce zero symmetry to replace the irreducibility of nonnegative matrices and propose an improved diagonal transformation algorithm for finding the maximum eigenvalue without any partitioning. The improved algorithm retains all of the benefits of the diagonal transformation algorithm while having fewer computations. Numerical examples are reported to show the efficiency of the proposed algorithm. As an application, the improved algorithm is used to check whether a zero symmetric matrix is an <i>H</i>-matrix.
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spelling doaj.art-e3eb639403d048cbb2e3f978ea0c12682023-12-02T00:22:09ZengMDPI AGSymmetry2073-89942022-08-01148170710.3390/sym14081707An Improved Diagonal Transformation Algorithm for the Maximum Eigenvalue of Zero Symmetric Nonnegative MatricesGang Wang0Jinfa Liu1School of Management Science, Qufu Normal University, Rizhao 276800, ChinaSchool of Management Science, Qufu Normal University, Rizhao 276800, ChinaThe irreducibility of nonnegative matrices is an important condition for the diagonal transformation algorithm to succeed. In this paper, we introduce zero symmetry to replace the irreducibility of nonnegative matrices and propose an improved diagonal transformation algorithm for finding the maximum eigenvalue without any partitioning. The improved algorithm retains all of the benefits of the diagonal transformation algorithm while having fewer computations. Numerical examples are reported to show the efficiency of the proposed algorithm. As an application, the improved algorithm is used to check whether a zero symmetric matrix is an <i>H</i>-matrix.https://www.mdpi.com/2073-8994/14/8/1707improved diagonal transformation algorithmzero symmetric reducible nonnegative matricesmaximum eigenvalueH-matrix
spellingShingle Gang Wang
Jinfa Liu
An Improved Diagonal Transformation Algorithm for the Maximum Eigenvalue of Zero Symmetric Nonnegative Matrices
Symmetry
improved diagonal transformation algorithm
zero symmetric reducible nonnegative matrices
maximum eigenvalue
H-matrix
title An Improved Diagonal Transformation Algorithm for the Maximum Eigenvalue of Zero Symmetric Nonnegative Matrices
title_full An Improved Diagonal Transformation Algorithm for the Maximum Eigenvalue of Zero Symmetric Nonnegative Matrices
title_fullStr An Improved Diagonal Transformation Algorithm for the Maximum Eigenvalue of Zero Symmetric Nonnegative Matrices
title_full_unstemmed An Improved Diagonal Transformation Algorithm for the Maximum Eigenvalue of Zero Symmetric Nonnegative Matrices
title_short An Improved Diagonal Transformation Algorithm for the Maximum Eigenvalue of Zero Symmetric Nonnegative Matrices
title_sort improved diagonal transformation algorithm for the maximum eigenvalue of zero symmetric nonnegative matrices
topic improved diagonal transformation algorithm
zero symmetric reducible nonnegative matrices
maximum eigenvalue
H-matrix
url https://www.mdpi.com/2073-8994/14/8/1707
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