Inversion Free Algorithms for Computing the Principal Square Root of a Matrix

New algorithms are presented about the principal square root of an n×n matrix A. In particular, all the classical iterative algorithms require matrix inversion at every iteration. The proposed inversion free iterative algorithms are based on the Schulz iteration or the Bernoulli substitution as a sp...

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Main Authors: Nicholas Assimakis, Maria Adam
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/2014/613840
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author Nicholas Assimakis
Maria Adam
author_facet Nicholas Assimakis
Maria Adam
author_sort Nicholas Assimakis
collection DOAJ
description New algorithms are presented about the principal square root of an n×n matrix A. In particular, all the classical iterative algorithms require matrix inversion at every iteration. The proposed inversion free iterative algorithms are based on the Schulz iteration or the Bernoulli substitution as a special case of the continuous time Riccati equation. It is certified that the proposed algorithms are equivalent to the classical Newton method. An inversion free algebraic method, which is based on applying the Bernoulli substitution to a special case of the continuous time Riccati equation, is also proposed.
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series International Journal of Mathematics and Mathematical Sciences
spelling doaj-art-4d012031d63d4ec4bf4a3ba8c434245b2025-02-03T05:58:46ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252014-01-01201410.1155/2014/613840613840Inversion Free Algorithms for Computing the Principal Square Root of a MatrixNicholas Assimakis0Maria Adam1Department of Electronic Engineering, Technological Educational Institute of Central Greece, 3rd km Old National Road Lamia-Athens, 35100 Lamia, GreeceDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 2-4 Papasiopoulou Street, 35100 Lamia, GreeceNew algorithms are presented about the principal square root of an n×n matrix A. In particular, all the classical iterative algorithms require matrix inversion at every iteration. The proposed inversion free iterative algorithms are based on the Schulz iteration or the Bernoulli substitution as a special case of the continuous time Riccati equation. It is certified that the proposed algorithms are equivalent to the classical Newton method. An inversion free algebraic method, which is based on applying the Bernoulli substitution to a special case of the continuous time Riccati equation, is also proposed.http://dx.doi.org/10.1155/2014/613840
spellingShingle Nicholas Assimakis
Maria Adam
Inversion Free Algorithms for Computing the Principal Square Root of a Matrix
International Journal of Mathematics and Mathematical Sciences
title Inversion Free Algorithms for Computing the Principal Square Root of a Matrix
title_full Inversion Free Algorithms for Computing the Principal Square Root of a Matrix
title_fullStr Inversion Free Algorithms for Computing the Principal Square Root of a Matrix
title_full_unstemmed Inversion Free Algorithms for Computing the Principal Square Root of a Matrix
title_short Inversion Free Algorithms for Computing the Principal Square Root of a Matrix
title_sort inversion free algorithms for computing the principal square root of a matrix
url http://dx.doi.org/10.1155/2014/613840
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