Stable evaluation of derivatives for barycentric and continued fraction representations of rational functions

Abstract Effective algorithms for approximation by rational functions exist for both barycentric and Thiele continued fraction (TCF) representations. We present the first numerically stable methods for derivative evaluation in the barycentric representation, including an O ( n ) algorithm for all derivatives. We also extend an earlier O ( n ) algorithm for evaluation of the TCF first derivative to higher orders. Numerical experiments confirm the robustness and efficiency of the proposed methods.

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Publication Details

Journal
Research in the Mathematical Sciences
Published
2026-08-28
DOI
https://doi.org/10.1007/s40687-026-00655-6
Primary Topic
Polynomial and algebraic computation
Type
article
Field-Weighted Citation Impact
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article

Stable evaluation of derivatives for barycentric and continued fraction representations of rational functions

Yuxing Zhou, Tobin A. Driscoll
Research in the Mathematical Sciences
Polynomial and algebraic computation
article

Stable evaluation of derivatives for barycentric and continued fraction representations of rational functions

Yuxing Zhou, Tobin A. Driscoll
article en

Abstract

Abstract Effective algorithms for approximation by rational functions exist for both barycentric and Thiele continued fraction (TCF) representations. We present the first numerically stable methods for derivative evaluation in the barycentric representation, including an O ( n ) algorithm for all derivatives. We also extend an earlier O ( n ) algorithm for evaluation of the TCF first derivative to higher orders. Numerical experiments confirm the robustness and efficiency of the proposed methods.

Research in the Mathematical SciencesVol. 13(3)
University of Delaware (US)
Openalex Percentile: Top 91%
Polynomial and algebraic computation
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