Application of Radial Basis Function Method for Solving Nonlinear Integral Equations
The radial basis function (RBF) method, especially the multiquadric (MQ) function, was proposed for one- and two-dimensional nonlinear integral equations. The unknown function was firstly interpolated by MQ functions and then by forming the nonlinear algebraic equations by the collocation method. Fi...
Main Authors: | Huaiqing Zhang, Yu Chen, Chunxian Guo, Zhihong Fu |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2014-01-01
|
Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2014/381908 |
Similar Items
-
Solving the Linear Integral Equations Based on Radial Basis Function Interpolation
by: Huaiqing Zhang, et al.
Published: (2014-01-01) -
Hybrid Functions Method Based on Radial Basis Functions for Solving Nonlinear Fredholm Integral Equations
by: H. Almasieh, et al.
Published: (2013-09-01) -
A Radial Basis Function Method for Solving Differential and Integral Equations
by: Chu-Yang Huang, et al.
Published: (2003) -
Radial Basis Function Collocation Method for Nonlinear Schrödinger Equations
by: Hung-Sheng Lin, et al.
Published: (2012) -
Sample Data Synchronization and Harmonic Analysis Algorithm Based on Radial Basis Function Interpolation
by: Huaiqing Zhang, et al.
Published: (2014-01-01)