Name
Abstract | ||
|---|---|---|
The radial basis function (RBF) method, especially the multiquadric (MQ) function, was introduced in solving linear integral equations. The procedure of MQ method includes that the unknown function was firstly expressed in linear combination forms of RBFs, then the integral equation was transformed into collocation matrix of RBFs, and finally, solving the matrix equation and an approximation solution was obtained. Because of the superior interpolation performance of MQ, the method can acquire higher precision with fewer nodes and low computations which takes obvious advantages over thin plate splines (TPS) method. In implementation, two types of integration schemes as the Gauss quadrature formula and regional split technique were put forward. Numerical results showed that the MQ solution can achieve accuracy of 1E -5. So, the MQ method is suitable and promising for integral equations. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1155/2014/793582 | JOURNAL OF APPLIED MATHEMATICS |
Field | DocType | Volume |
Linear combination,Mathematical optimization,Thin plate spline,Radial basis function,Mathematical analysis,Matrix (mathematics),Interpolation,Integral equation,Gaussian quadrature,Mathematics,Collocation | Journal | 2014 |
ISSN | Citations | PageRank |
1110-757X | 1 | 0.36 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huaiqing Zhang | 1 | 5 | 5.52 |
| Yu Chen | 2 | 1 | 1.04 |
| Xin Nie | 3 | 1 | 0.36 |