Scientific Computation and Applied & Industrial Mathematics: Leevan Ling

A brief introduction of translation-invariant kernel based methods, aka radial basis function methods, for function approximation and PDEs will be given. These methods do not require meshes, but in return, we have to deal with highly ill-conditioned linear systems. In this talk, we will introduce an adaptive algorithm that selects appropriate column subspaces that ensure linear independency.