The purpose of this investigation is to develop, test, and analyze iterative methods for computing the solutions of large, sparse linear systems arising from the discretization of elliptic partial differential equations. The focus of the research is on partial elimination techniques for two-cycle problems, iteration schemes for nonsymmetric systems derived from non-self-adjoint problems, preconditioners, and parallel computations. An analytic study on benchmark problems, including systems from three-dimensional models, will be combined with numerical experimentation using both serial and parallel computers.

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Communication Foundations (CCF)
Application #
8821078
Program Officer
S. Kamal Abdali
Project Start
Project End
Budget Start
1989-05-01
Budget End
1992-10-31
Support Year
Fiscal Year
1988
Total Cost
$297,965
Indirect Cost
Name
Stanford University
Department
Type
DUNS #
City
Palo Alto
State
CA
Country
United States
Zip Code
94304