CENTER FOR COMPUTATION & TECHNOLOGY

In recent years, wavelets have become an increasingly popular basis for efficient representation of information, for example in data compression (used in JPEG2000).  This talk aims to give a practical and intuitive introduction of wavelets as general sets of basis functions for average researchers.  It will use the bi-orthogonal interpolating wavelets as a simple example to illustrate the definition of the wavelets, their mathematical properties and their high storage/processing efficiency.  In particular, the talk will focus on the common features of basis functions in linear and non-linear algebra, relevant to modern numerical problems of quantum many-body physics and chemistry.

Slides (PDF)

Co-speaker TBA.

Dr. Wei Ku completed his Ph.D thesis on electronic excitations in University of Tennessee in 2000.  After working as a postdoc in University of California at Davis for two years, he joined the staff scientists in Brookhaven in 2003.  His current research interest includes theoretical/computational understanding of correlated behaviors and disorders in functional materials.