Improved Space-Time GMQ-RBF Collocation Using Symmetric Variable Shape and Exponent Parameters

Read full text
Authors: Nazanin Tafakhori, Mojtaba Ranjbar, S. Kazemi
Cited by: 1
References: 38

Abstract

This paper introduces a novel approach to enhance the efficiency and accuracy of space-time radial basis function (RBF) collocation methods for solving partial differential equations (PDEs). We employ generalized multiquadric RBFs (GMQ-RBFs) equipped with symmetric variable shape parameters (SVSP) and symmetric variable exponents (SVE). Our method is compared against traditional RBF collocation techniques using constant shape parameters and exponents. Numerical results demonstrate that the proposed SVSP and SVE strategy outperforms conventional methods, resulting in significantly reduced condition numbers, lower interpolation errors, and faster convergence to the exact solution. The effectiveness of our approach is validated through solving the telegraph equation, underscoring its potential for broader applications in PDEs.

Fields of Study & Subjects

Numerical methods in engineering Fractional Differential Equations Solutions Model Reduction and Neural Networks

Publication details

Journal / source
Boletim da Sociedade Paranaense de Matemática
Publisher
Sociedade Paranaense de Matemática
Volume
44
Pages
1–17
Publication date
5 August 2026