Application of Radial Basis Function Method for Solving Nonlinear Integral Equations. (28th October 2014)

• Record Type: Journal Article
• Authors: Zhang, Huaiqing; Chen, Yu; Guo, Chunxian; Fu, Zhihong
• Other Names: Cen Song Academic Editor.
• Is Part Of: Journal of applied mathematics. Volume 2014(2014)
• Publication Date: 2014-10-28
• Subjects: Mathematics -- Periodicals; 519.05
• DOI: 10.1155/2014/381908
• Languages: English
• ISSNs: 1110-757X

Abstract

Abstract : 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. Finally, the coefficients of RBFs were determined by Newton's iteration method and an approximate solution was obtained. In implementation, the Gauss quadrature formula was employed in one-dimensional and two-dimensional regular domain problems, while the quadrature background mesh technique originated in mesh-free methods was introduced for irregular situation. Due to the superior interpolation performance of MQ function, the method can acquire higher accuracy with fewer nodes, so it takes obvious advantage over the Gaussian RBF method which can be revealed from the numerical results.