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A Multivariate Spline based Collocation Method for Numerical Solution of Partial Differential Equations

Numerical Analysis 2023-04-18 v5 Numerical Analysis Analysis of PDEs

Abstract

We propose a collocation method based on multivariate polynomial splines over triangulation or tetrahedralization for the numerical solution of partial differential equations. We start with a detailed explanation of the method for the Poisson equation and then extend the study to the second-order elliptic PDE in non-divergence form. We shall show that the numerical solution can approximate the exact PDE solution very well. Then we present a large amount of numerical experimental results to demonstrate the performance of the method over the 2D and 3D settings. In addition, we present a comparison with the existing multivariate spline methods in \cite{ALW06} and \cite{LW17} to show that the new method produces a similar and sometimes more accurate approximation in a more efficient fashion.

Keywords

Cite

@article{arxiv.2109.09698,
  title  = {A Multivariate Spline based Collocation Method for Numerical Solution of Partial Differential Equations},
  author = {Ming-Jun Lai and Jinsil Lee},
  journal= {arXiv preprint arXiv:2109.09698},
  year   = {2023}
}
R2 v1 2026-06-24T06:09:07.070Z