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Improved polynomial remainder sequences for Ore polynomials()

Polynomial remainder sequences contain the intermediate results of the Euclidean algorithm when applied to (non-)commutative polynomials. The running time of the algorithm is dependent on the size of the coefficients of the remainders. Different ways have been studied to make these as small as possi...

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Autor principal: Jaroschek, Maximilian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Limited 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4599632/
https://www.ncbi.nlm.nih.gov/pubmed/26523087
http://dx.doi.org/10.1016/j.jsc.2013.05.012
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author Jaroschek, Maximilian
author_facet Jaroschek, Maximilian
author_sort Jaroschek, Maximilian
collection PubMed
description Polynomial remainder sequences contain the intermediate results of the Euclidean algorithm when applied to (non-)commutative polynomials. The running time of the algorithm is dependent on the size of the coefficients of the remainders. Different ways have been studied to make these as small as possible. The subresultant sequence of two polynomials is a polynomial remainder sequence in which the size of the coefficients is optimal in the generic case, but when taking the input from applications, the coefficients are often larger than necessary. We generalize two improvements of the subresultant sequence to Ore polynomials and derive a new bound for the minimal coefficient size. Our approach also yields a new proof for the results in the commutative case, providing a new point of view on the origin of the extraneous factors of the coefficients.
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spelling pubmed-45996322015-10-29 Improved polynomial remainder sequences for Ore polynomials() Jaroschek, Maximilian J Symb Comput Article Polynomial remainder sequences contain the intermediate results of the Euclidean algorithm when applied to (non-)commutative polynomials. The running time of the algorithm is dependent on the size of the coefficients of the remainders. Different ways have been studied to make these as small as possible. The subresultant sequence of two polynomials is a polynomial remainder sequence in which the size of the coefficients is optimal in the generic case, but when taking the input from applications, the coefficients are often larger than necessary. We generalize two improvements of the subresultant sequence to Ore polynomials and derive a new bound for the minimal coefficient size. Our approach also yields a new proof for the results in the commutative case, providing a new point of view on the origin of the extraneous factors of the coefficients. Elsevier Limited 2013-11 /pmc/articles/PMC4599632/ /pubmed/26523087 http://dx.doi.org/10.1016/j.jsc.2013.05.012 Text en © 2013 The Author https://creativecommons.org/licenses/by/3.0/This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Jaroschek, Maximilian
Improved polynomial remainder sequences for Ore polynomials()
title Improved polynomial remainder sequences for Ore polynomials()
title_full Improved polynomial remainder sequences for Ore polynomials()
title_fullStr Improved polynomial remainder sequences for Ore polynomials()
title_full_unstemmed Improved polynomial remainder sequences for Ore polynomials()
title_short Improved polynomial remainder sequences for Ore polynomials()
title_sort improved polynomial remainder sequences for ore polynomials()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4599632/
https://www.ncbi.nlm.nih.gov/pubmed/26523087
http://dx.doi.org/10.1016/j.jsc.2013.05.012
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