Department of Mathematics and Statistics,
Arizona State University
Thursday,
January 29, 2004, 12:15 p.m. in GWC Room 110
Department of Mathematics, Ewha W. University, Seoul, Korea
Approximation by Radial Basis Function and Subdivision
Abstract
Radial basis function is a very sucessful and popular tool
for multivariate scattered data approximation problems.
Recently, it becomes popular for many applications such as
surface fitting, numerical partial differential equation,
image processing, and computer graphics.
We will observe the state-of-the-art in the area of radial basis
function methods.
Next, subdivision is a powerful tool for the fast construction
of smooth curves and surfaces from a set of control points by means
of iterative refinements.
Its basic limit (or refinable) function provides a multiresolution
analysis (MRA) which is the key to wavelet construction.
We will briefly discuss non-stationary and non-uniform schemes.
For further information please contact:
mittelmann@asu.edu