scholarly journals The numerical solution of Fredholm-Hammerstein integral equations by combining the collocation method and radial basis functions

Filomat ◽  
2019 ◽  
Vol 33 (3) ◽  
pp. 667-682 ◽  
Author(s):  
Pouria Assari

Hammerstein integral equations have been arisen from mathematical models in various branches of applied sciences and engineering. This article investigates an approximate scheme to solve Fredholm-Hammerstein integral equations of the second kind. The new method uses the discrete collocation method together with radial basis functions (RBFs) constructed on scattered points as a basis. The discrete collocation method results from the numerical integration of all integrals appeared in the approach. We employ the composite Gauss-Legendre integration rule to estimate the integrals appeared in the method. Since the scheme does not need any background meshes, it can be identified as a meshless method. The algorithm of the presented scheme is interesting and easy to implement on computers. We also provide the error bound and the convergence rate of the presented method. The results of numerical experiments confirm the accuracy and efficiency of the new scheme presented in this paper and are compared with the Legendre wavelet technique.

2021 ◽  
Vol 63 ◽  
pp. 469-492
Author(s):  
Pouria Assari ◽  
Fatemeh Asadi-Mehregan ◽  
Mehdi Dehghan

The main goal of this paper is to solve a class of Darboux problems by converting them into the two-dimensional nonlinear Volterra integral equation of the second kind. The scheme approximates the solution of these integral equations using the discrete Galerkin method together with local radial basis functions, which use a small set of data instead of all points in the solution domain. We also employ the Gauss–Legendre integration rule on the influence domains of shape functions to compute the local integrals appearing in the method. Since the scheme is constructed on a set of scattered points and does not require any background meshes, it is meshless. The error bound and the convergence rate of the presented method are provided. Some illustrative examples are included to show the validity and efficiency of the new technique. Furthermore, the results obtained demonstrate that this method uses much less computer memory than the method established using global radial basis functions. doi:10.1017/S1446181121000377


Sign in / Sign up

Export Citation Format

Share Document