9414355 Nash This research is focused on the development of algorithms for nonlinear programming, particularly, problems that involve many variables. The emphasis is on algorithms suitable for parallel computer implementation. The aim is at methods suitable for coarse-grained parallel computers where each processor is itself moderately powerful. The domain of target processors of interest include computers such as the Intel Paragon and Cray supercomputers. The algorithms developed are aimed to be general- purpose, easy to use, and ultimately implemented as a computer software. Nonlinear programming problems exist in several sectors of the economy, including both the industrial and military systems. However, nonlinear programming models can be difficult to solve. The general-purpose nature of the algorithms to be developed will make available the power of computers to users of nonlinear models, and hence extend the range of nonlinear programming as an everyday modeling tools.

Agency
National Science Foundation (NSF)
Institute
Division of Civil, Mechanical, and Manufacturing Innovation (CMMI)
Application #
9414355
Program Officer
Lawrence M. Seiford
Project Start
Project End
Budget Start
1995-01-01
Budget End
1998-06-30
Support Year
Fiscal Year
1994
Total Cost
$164,977
Indirect Cost
Name
George Mason University
Department
Type
DUNS #
City
Fairfax
State
VA
Country
United States
Zip Code
22030