On the Univariate Vector-Valued Rational Interpolation and Recovery Problems

In this paper, we consider a novel vector-valued rational interpolation algorithm and its application. Compared to the classic vector-valued rational interpolation algorithm, the proposed algorithm relaxes the constraint that the denominators of components of the interpolation function must be identical. Furthermore, this algorithm can be applied to construct the vector-valued interpolation function component-wise, with the help of the common divisors among the denominators of components. Through experimental comparisons with the classic vector-valued rational interpolation algorithm, it is found that the proposed algorithm exhibits low construction cost, low degree of the interpolation function, and high approximation accuracy.

Authors

Institutions

Publication Details

Journal
Mathematics
Published
2024-09-17
DOI
https://doi.org/10.3390/math12182896
Citations
1
Primary Topic
Polynomial and algebraic computation
Type
article
Field-Weighted Citation Impact
0.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the Univariate Vector-Valued Rational Interpolation and Recovery Problems

Peng Xia, Shugong Zhang, Lixia Xiao
1 citations
Mathematics
Polynomial and algebraic computation
0.36
article

On the Univariate Vector-Valued Rational Interpolation and Recovery Problems

Peng Xia, Shugong Zhang, Lixia Xiao
article en
1 citations

Abstract

In this paper, we consider a novel vector-valued rational interpolation algorithm and its application. Compared to the classic vector-valued rational interpolation algorithm, the proposed algorithm relaxes the constraint that the denominators of components of the interpolation function must be identical. Furthermore, this algorithm can be applied to construct the vector-valued interpolation function component-wise, with the help of the common divisors among the denominators of components. Through experimental comparisons with the classic vector-valued rational interpolation algorithm, it is found that the proposed algorithm exhibits low construction cost, low degree of the interpolation function, and high approximation accuracy.

MathematicsVol. 12(18)
Liaoning University (CN), Minzu University of China (CN), Jilin University (CN)
Openalex Percentile: Top 36%
Polynomial and algebraic computation
0.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

On the Univariate Vector-Valued Rational Interpolation and Recovery Problems — Peng Xia, Shugong Zhang, et al. · Mathematics (2024) | TGRS Research Map | TGRS