Sparse Matrix Algorithms

Number: 
CMPSC 219
Level: 
Graduate
Units: 
4

Description

Theory, implementation, and applications of sparse matrix algorithms. Direct, iterative, preconditioned, and multilevel methods for solving large, sparse systems of linear equations. Tools include graph theory, linear algebra, and computer architecture; applications range from physical modeling to data mining.