Stephen Smale (Toyota Technical Institute at Chicago/
University of California at Berkeley):
Shannon Sampling, Learning Theory and Reconstructing Functions
from Point Values
Shannon sampling is a special case of the general problem of
reconstruction of a function from its values at a discrete set
of points. The talk will deal with age-old algorithms for
solving this problem and new estimates for their error and efficiency.