On some techniques for approximating boundary conditions in the finite element method
Modelling 94 Proceedings of the 1994 international symposium on Mathematical modelling and computational methods
Error estimates for interpolation by compactly supported radial basis functions of minimal degree
Journal of Approximation Theory
Improved error bounds for scattered data interpolation by radial basis functions
Mathematics of Computation
Meshless Galerkin methods using radial basis functions
Mathematics of Computation
On unsymmetric collocation by radial basis functions
Applied Mathematics and Computation
A Particle-Partition of Unity Method for the Solution of Elliptic, Parabolic, and Hyperbolic PDEs
SIAM Journal on Scientific Computing
A note on the meshless method using radial basis functions
Computers & Mathematics with Applications
A mixed method for Dirichlet problems with radial basis functions
Computers & Mathematics with Applications
A radial basis function method for solving PDE-constrained optimization problems
Numerical Algorithms
Hi-index | 7.29 |
In this paper, a numerical method is given for partial differential equations, which combines the use of Lagrange multipliers with radial basis functions. It is a new method to deal with difficulties that arise in the Galerkin radial basis function approximation applied to Dirichlet (also mixed) boundary value problems. Convergence analysis results are given. Several examples show the efficiency of the method using TPS or Sobolev splines.