Numerical Solution of Nonlinear PDEs by Using Two-Level Iterative Techniques and Radial Basis Functions
author
Abstract:
Radial basis function method has been used to handle linear and nonlinear equations. The purpose of this paper is to introduce the method of RBF to an existing method in solving nonlinear two-level iterative techniques and also the method is implemented to four numerical examples. The results reveal that the technique is very effective and simple. The main property of the method lies in its flexibility and ability to solve nonlinear equations accurately and conveniently.
similar resources
Using Chebyshev polynomial’s zeros as point grid for numerical solution of nonlinear PDEs by differential quadrature- based radial basis functions
Radial Basis Functions (RBFs) have been found to be widely successful for the interpolation of scattered data over the last several decades. The numerical solution of nonlinear Partial Differential Equations (PDEs) plays a prominent role in numerical weather forecasting, and many other areas of physics, engineering, and biology. In this paper, Differential Quadrature (DQ) method- based RBFs are...
full textNumerical Solution of Singular IVPs of Lane-Emden Type Using Integral Operator and Radial Basis Functions
full text
Numerical Solution of The Parabolic Equations by Variational Iteration Method and Radial Basis Functions
In this work, we consider the parabolic equation: $u_t-u_{xx}=0$. The purpose of this paper is to introduce the method of variational iteration method and radial basis functions for solving this equation. Also, the method is implemented to three numerical examples. The results reveal that the technique is very effective and simple.
full textNumerical Techniques Based on Radial Basis Functions
Radial basis functions are tools for reconstruction of mul-tivariate functions from scattered data. This includes, for instance, reconstruction of surfaces from large sets of measurements, and solving partial diierential equations by collocation. The resulting very large linear N N systems require eecient techniques for their solution, preferably of O(N) or O(N log N) computational complexity. ...
full textnumerical solution of singular ivps of lane-emden type using integral operator and radial basis functions
0
full textTHE COMPARISON OF EFFICIENT RADIAL BASIS FUNCTIONS COLLOCATION METHODS FOR NUMERICAL SOLUTION OF THE PARABOLIC PDE’S
In this paper, we apply the compare the collocation methods of meshfree RBF over differential equation containing partial derivation of one dimension time dependent with a compound boundary nonlocal condition.
full textMy Resources
Journal title
volume 7 issue 4 (FALL)
pages 277- 285
publication date 2017-11-01
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023