Speaker
Lloyd N. Trefethen
(University of Oxford and LIP - ENS de Lyon)
Description
In two or more dimensions, various methods have been developed to represent matrices or functions more compactly. The efficacy of such methods often depends on alignment of the data with the axes. We shall discuss four cases: low-rank approximations, sparse grids, quasi-Monte Carlo, and multivariate polynomials.
