Approximation of piecewise smooth functions by nonuniform nonlinear quadratic and cubic spline quasi-interpolants

This paper presents new nonlinear quadratic and cubic spline quasi-interpolants for approximating piecewise smooth functions on nonuniform knot partitions. By incorporating WENO techniques in the quasi-interpolant definition, our method avoids Gibbs phenomenon near discontinuities while maintaining high-order accuracy in smooth regions. The construction extends previous research by considering nonuniform knot distributions, offering enhanced flexibility in function reconstruction. Numerical experiments validate the method's superior performance compared to linear approaches.

Authors

Publication Details

Journal
Mathematics and Computers in Simulation
Published
2025-11-13
DOI
https://doi.org/10.1016/j.matcom.2025.11.008
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
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article

Approximation of piecewise smooth functions by nonuniform nonlinear quadratic and cubic spline quasi-interpolants

Sara Remogna, Francesc Aràndiga
Mathematics and Computers in Simulation
Advanced Numerical Analysis Techniques
article

Approximation of piecewise smooth functions by nonuniform nonlinear quadratic and cubic spline quasi-interpolants

Sara Remogna, Francesc Aràndiga
article en

Abstract

This paper presents new nonlinear quadratic and cubic spline quasi-interpolants for approximating piecewise smooth functions on nonuniform knot partitions. By incorporating WENO techniques in the quasi-interpolant definition, our method avoids Gibbs phenomenon near discontinuities while maintaining high-order accuracy in smooth regions. The construction extends previous research by considering nonuniform knot distributions, offering enhanced flexibility in function reconstruction. Numerical experiments validate the method's superior performance compared to linear approaches.

Mathematics and Computers in SimulationVol. 241
Openalex Percentile: Top 64%
Advanced Numerical Analysis Techniques
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