Computing the greatest common divisor of polynomials using the comrade matrix

The comrade matrix of a polynomial is an analogue of the companion matrix when the matrix is expressed in terms of a general basis such that the basis is a set of orthogonal polynomials satisfying the three-term recurrence relation. We present the algorithms for computing the comrade matrix, and the...

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Main Authors: Aris, Nor`Aini, Nahar Ahmad, Shamsatun
Format: Book Section
Published: Springer Verlag 2008
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Online Access:http://eprints.utm.my/id/eprint/12519/
http://dx.doi.org/10.1007/978-3-540-87827-8_7
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.125192017-10-02T08:27:36Z http://eprints.utm.my/id/eprint/12519/ Computing the greatest common divisor of polynomials using the comrade matrix Aris, Nor`Aini Nahar Ahmad, Shamsatun QA Mathematics The comrade matrix of a polynomial is an analogue of the companion matrix when the matrix is expressed in terms of a general basis such that the basis is a set of orthogonal polynomials satisfying the three-term recurrence relation. We present the algorithms for computing the comrade matrix, and the coefficient matrix of the corresponding linear systems derived from the recurrence relation. The computing times of these algorithms are analyzed. The computing time bounds, which dominate these times, are obtained as functions of the degree and length of the integers that represent the rational number coefficients of the input polynomials. The ultimate aim is to apply these computing time bounds in the analysis of the performance of the generalized polynomial greatest common divisor algorithms. Springer Verlag 2008 Book Section PeerReviewed Aris, Nor`Aini and Nahar Ahmad, Shamsatun (2008) Computing the greatest common divisor of polynomials using the comrade matrix. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Germany, 87-96 . ISBN 978-354087826-1 http://dx.doi.org/10.1007/978-3-540-87827-8_7 DOI:10.1007/978-3-540-87827-8_7
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Aris, Nor`Aini
Nahar Ahmad, Shamsatun
Computing the greatest common divisor of polynomials using the comrade matrix
description The comrade matrix of a polynomial is an analogue of the companion matrix when the matrix is expressed in terms of a general basis such that the basis is a set of orthogonal polynomials satisfying the three-term recurrence relation. We present the algorithms for computing the comrade matrix, and the coefficient matrix of the corresponding linear systems derived from the recurrence relation. The computing times of these algorithms are analyzed. The computing time bounds, which dominate these times, are obtained as functions of the degree and length of the integers that represent the rational number coefficients of the input polynomials. The ultimate aim is to apply these computing time bounds in the analysis of the performance of the generalized polynomial greatest common divisor algorithms.
format Book Section
author Aris, Nor`Aini
Nahar Ahmad, Shamsatun
author_facet Aris, Nor`Aini
Nahar Ahmad, Shamsatun
author_sort Aris, Nor`Aini
title Computing the greatest common divisor of polynomials using the comrade matrix
title_short Computing the greatest common divisor of polynomials using the comrade matrix
title_full Computing the greatest common divisor of polynomials using the comrade matrix
title_fullStr Computing the greatest common divisor of polynomials using the comrade matrix
title_full_unstemmed Computing the greatest common divisor of polynomials using the comrade matrix
title_sort computing the greatest common divisor of polynomials using the comrade matrix
publisher Springer Verlag
publishDate 2008
url http://eprints.utm.my/id/eprint/12519/
http://dx.doi.org/10.1007/978-3-540-87827-8_7
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