Adaptive refinement scheme for the least-squares fundamental solution method for potential problems

In this paper we describe how the accuracy of the least-squares Fundamental Solution Method can be improved by means of adaptive refinement scheme. The refinement procedure is based on the statistical concept of significant parameters in multiple regression. The results of applying the method to test problems from potential theory show that the method gives higher accuracy in the potential and normal derivatives with a reduced number of sources.