Accurate and efficient computations with Wronskian matrices of Bernstein and related bases
In this article, we provide a bidiagonal decomposition of the Wronskian matrices of Bernstein bases of polynomials and other related bases such as the Bernstein basis of negative degree or the negative binomial basis. The mentioned bidiagonal decompositions are used to achieve algebraic computations...
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Published in | Numerical linear algebra with applications Vol. 29; no. 3 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Wiley Subscription Services, Inc
01.05.2022
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Subjects | |
Online Access | Get full text |
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Summary: | In this article, we provide a bidiagonal decomposition of the Wronskian matrices of Bernstein bases of polynomials and other related bases such as the Bernstein basis of negative degree or the negative binomial basis. The mentioned bidiagonal decompositions are used to achieve algebraic computations with high relative accuracy for these Wronskian matrices. The numerical experiments illustrate the accuracy obtained using the proposed decomposition when computing inverse matrices, eigenvalues or singular values, and the solution of some related linear systems. |
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Bibliography: | Funding information Gobierno de Aragón, E41_20R; MCUI/IEA, PGC2018‐096321‐B‐I00 |
ISSN: | 1070-5325 1099-1506 |
DOI: | 10.1002/nla.2423 |