An overview of the method of fundamental solutions—Solvability, uniqueness, convergence, and stability

AHD Cheng, Y Hong - Engineering Analysis with Boundary Elements, 2020 - Elsevier
In this paper we give an overview of the Method of Fundamental Solutions (MFS) as a
heuristic numerical method. It is truly meshless. Its concept and numerical implementation …

The exponentially convergent trapezoidal rule

LN Trefethen, JAC Weideman - SIAM review, 2014 - SIAM
It is well known that the trapezoidal rule converges geometrically when applied to analytic
functions on periodic intervals or the real line. The mathematics and history of this …

[PDF][PDF] A review of radial basis function with applications explored

G Arora, K Bala, H Emadifar… - Journal of the Egyptian …, 2023 - joems.journals.ekb.eg
Partial differential equations are a vital component of the study of mathematicalmodels in
science and engineering. There are various tools and techniques developedby the …

[ΒΙΒΛΙΟ][B] Meshfree approximation methods with Matlab (With Cd-rom)

GE Fasshauer - 2007 - books.google.com
Meshfree approximation methods are a relatively new area of research, and there are only a
few books covering it at present. Whereas other works focus almost entirely on theoretical …

Solving PDEs with radial basis functions

B Fornberg, N Flyer - Acta Numerica, 2015 - cambridge.org
Finite differences provided the first numerical approach that permitted large-scale
simulations in many applications areas, such as geophysical fluid dynamics. As accuracy …

[ΒΙΒΛΙΟ][B] A primer on radial basis functions with applications to the geosciences

B Fornberg, N Flyer - 2015 - SIAM
This book is focused on a powerful numerical methodology for solving PDEs to high
accuracy in any number of dimensions: Radial Basis Functions (RBFs). During the past …

On choosing “optimal” shape parameters for RBF approximation

GE Fasshauer, JG Zhang - Numerical Algorithms, 2007 - Springer
Many radial basis function (RBF) methods contain a free shape parameter that plays an
important role for the accuracy of the method. In most papers the authors end up choosing …

Stable computations with Gaussian radial basis functions

B Fornberg, E Larsson, N Flyer - SIAM Journal on Scientific Computing, 2011 - SIAM
Radial basis function (RBF) approximation is an extremely powerful tool for representing
smooth functions in nontrivial geometries since the method is mesh-free and can be …

Stable evaluation of Gaussian radial basis function interpolants

GE Fasshauer, MJ McCourt - SIAM Journal on Scientific Computing, 2012 - SIAM
We provide a new way to compute and evaluate Gaussian radial basis function interpolants
in a stable way with a special focus on small values of the shape parameter, ie, for “flat” …

A numerical study of some radial basis function based solution methods for elliptic PDEs

E Larsson, B Fornberg - Computers & Mathematics with Applications, 2003 - Elsevier
During the last decade, three main variations have been proposed for solving elliptic PDEs
by means of collocation with radial basis functions (RBFs). In this study, we have …