Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
heuristic numerical method. It is truly meshless. Its concept and numerical implementation …
The exponentially convergent trapezoidal rule
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 …
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
Partial differential equations are a vital component of the study of mathematicalmodels in
science and engineering. There are various tools and techniques developedby the …
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 …
few books covering it at present. Whereas other works focus almost entirely on theoretical …
Solving PDEs with radial basis functions
Finite differences provided the first numerical approach that permitted large-scale
simulations in many applications areas, such as geophysical fluid dynamics. As accuracy …
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 …
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 …
important role for the accuracy of the method. In most papers the authors end up choosing …
Stable computations with Gaussian radial basis functions
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 …
smooth functions in nontrivial geometries since the method is mesh-free and can be …
Stable evaluation of Gaussian radial basis function interpolants
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” …
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
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 …
by means of collocation with radial basis functions (RBFs). In this study, we have …