On the accurate basis conversion of univariate polynomials

Abstract This paper summarizes the bidiagonal factorizations of change of basis matrices between polynomial bases commonly used in interpolation and computer-aided geometric design. These factorizations enable the efficient and highly accurate resolution of linear algebra problems, offering significant advantages in terms of precision. The article also highlights a variety of applications, including the accurate computation of divided differences and the efficient solution of algebraic problems involving collocation matrices or Gram matrices, underscoring the practical relevance of these factorizations in mathematical and computational contexts.

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Publication Details

Journal
SeMA Journal
Published
2025-05-05
DOI
https://doi.org/10.1007/s40324-025-00392-w
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

On the accurate basis conversion of univariate polynomials

Beatriz Rubio, Eduardo Royo-Amondarain, J.M. Peña, E. Mainar et al.
SeMA Journal
Advanced Numerical Analysis Techniques
article

On the accurate basis conversion of univariate polynomials

Beatriz Rubio, Eduardo Royo-Amondarain, J.M. Peña, E. Mainar, Y. Khiar
article en

Abstract

Abstract This paper summarizes the bidiagonal factorizations of change of basis matrices between polynomial bases commonly used in interpolation and computer-aided geometric design. These factorizations enable the efficient and highly accurate resolution of linear algebra problems, offering significant advantages in terms of precision. The article also highlights a variety of applications, including the accurate computation of divided differences and the efficient solution of algebraic problems involving collocation matrices or Gram matrices, underscoring the practical relevance of these factorizations in mathematical and computational contexts.

SeMA JournalVol. 82(4)
Universidad de Zaragoza (ES)
Ministerio de Ciencia e Innovación, Universidad de Zaragoza, Departamento de Educación, Cultura y Deporte, Gobierno de Aragón
Openalex Percentile: Top 90%
Advanced Numerical Analysis Techniques
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