Relationship between boundary integral equation and radial basis function

This paper aims to survey our recent work relating to the radial basis function (RBF) from some new views of points. In the first part, we established the RBF on numerical integration analysis based on an intrinsic relationship between the Green's boundary integral representation and RBF. It is found that the kernel function of integral equation is important to create efficient RBF. The fundamental solution RBF (FS-RBF) was presented as a novel strategy constructing operator-dependent RBF. We proposed a conjecture formula featuring the dimension affect on error bound to show the independent-dimension merit of the RBF techniques. We also discussed wavelet RBF, localized RBF schemes, and the influence of node placement on the RBF solution accuracy. The centrosymmetric matrix structure of the RBF interpolation matrix under symmetric node placing is proved. The second part of this paper is concerned with the boundary knot method (BKM), a new boundary-only, meshless, spectral convergent, integration-free RBF collocation technique. The BKM was tested to the Helmholtz, Laplace, linear and nonlinear convection-diffusion problems. In particular, we introduced the response knot-dependent nonsingular general solution to calculate varying-parameter and nonlinear steady convection-diffusion problems very efficiently. By comparing with the multiple dual reciprocity method, we discussed the completeness issue of the BKM. Finally, the nonsingular solutions for some known differential operators were given in appendix. Also we expanded the RBF concepts by introducing time-space RBF for transient problems. Key words: radial basis function, integral equation, kernel function, edge effects, FS-RBF, error bound, node placement, time-spac