Radial Basis Function Approximation and Applications
by
Xingping Sun
Department of MathematicsMissouri State University
Springfield, MO 65804, USA
Email: sun@math.smsu.edu
Abstract : Radial Basis Functions
(RBF) have recently found many applications in a diverse areas of
mathematics and engineering, including image processing, machine
learning, Monte Carlo methods, neural networks, and numerical solutions
of PDE. RBF provide an efficient tool for dealing with scattered data
in higher dimensional Spaces. In this talk, we will survey some recent
results on RBF approximation and interpolation. We will emphasize the
interactions of RBF methods with Numerical Linear Algebra.
