Bourne, M., Winkler, J.R. and Su, Y. (2017) A non-linear structure-preserving matrix method for the computation of the coefficients of an approximate greatest common divisor of two Bernstein polynomials. Journal of Computational and Applied Mathematics, 320. pp. 221-241. ISSN 0377-0427
Abstract
This paper describes a non-linear structure-preserving ma trix method for the com- putation of the coefficients of an approximate greatest commo n divisor (AGCD) of degree t of two Bernstein polynomials f ( y ) and g ( y ). This method is applied to a modified form S t ( f, g ) Q t of the t th subresultant matrix S t ( f, g ) of the Sylvester resultant matrix S ( f, g ) of f ( y ) and g ( y ), where Q t is a diagonal matrix of com- binatorial terms. This modified subresultant matrix has sig nificant computational advantages with respect to the standard subresultant matri x S t ( f, g ), and it yields better results for AGCD computations. It is shown that f ( y ) and g ( y ) must be pro- cessed by three operations before S t ( f, g ) Q t is formed, and the consequence of these operations is the introduction of two parameters, α and θ , such that the entries of S t ( f, g ) Q t are non-linear functions of α, θ and the coefficients of f ( y ) and g ( y ). The values of α and θ are optimised, and it is shown that these optimal values allo w an AGCD that has a small error, and a structured low rank approxi mation of S ( f, g ), to be computed.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Elsevier. This is an author produced version of a paper subsequently published in Journal of Computational and Applied Mathematics. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | Approximate greatest common divisor; Sylvester resultant matrix; structure-preserving matrix methods |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Feb 2017 15:44 |
Last Modified: | 24 Apr 2018 08:15 |
Published Version: | https://doi.org/10.1016/j.cam.2017.01.035 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.cam.2017.01.035 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:111431 |