Bivariate High‐Accuracy Hermite‐Type Multiquadric Quasi‐Interpolation Operators

In this paper, a kind of Hermite‐type multiquadric quasi‐interpolation operator is constructed by combining an extended univariate multiquadric quasi‐interpolation operator with a bivariate Hermite interpolation polynomial. Some error bounds in terms of the modulus of continuity of high order and Peano representations for the error are given. Numerical comparisons with other existing methods are carried out to verify a higher degree of accuracy based on the obtained scheme. Furthermore, with an assumption on the suitable shape‐preserving parameter c , several numerical tests show that the convergent order of the proposed operator is satisfactory.

Authors

Publication Details

Journal
Journal of Mathematics
Published
2025-01-01
DOI
https://doi.org/10.1155/jom/2321192
Primary Topic
Numerical methods in engineering
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bivariate High‐Accuracy Hermite‐Type Multiquadric Quasi‐Interpolation Operators

Ruifeng Wu
Journal of Mathematics
Numerical methods in engineering
article

Bivariate High‐Accuracy Hermite‐Type Multiquadric Quasi‐Interpolation Operators

Ruifeng Wu
article en

Abstract

In this paper, a kind of Hermite‐type multiquadric quasi‐interpolation operator is constructed by combining an extended univariate multiquadric quasi‐interpolation operator with a bivariate Hermite interpolation polynomial. Some error bounds in terms of the modulus of continuity of high order and Peano representations for the error are given. Numerical comparisons with other existing methods are carried out to verify a higher degree of accuracy based on the obtained scheme. Furthermore, with an assumption on the suitable shape‐preserving parameter c , several numerical tests show that the convergent order of the proposed operator is satisfactory.

Journal of MathematicsVol. 2025(1)
Jilin University of Finance and Economics
Openalex Percentile: Top 77%
Numerical methods in engineering
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.