Sparse Matrix Computation

by

Esmond Ng

Lawrence Berkeley National Laboratory
One Cyclotron Road
Mail Stop 50F
Berkeley, CA 94720
Email: EGNg@lbl.gov
 

 

Abstract : Sparse matrices arise frequently in scientific and engineering  applications. Most of them are in the form ofsystems of linear  equations, which tend to be large and sparse. This tutorial will  provide an overview of state-of-the-art algorithms for such large sparse  linear systems. Opportunities for further research will also be discussed.