Energy Models and Large-Scale Systems Optimization.
Abstract
The optimization of large-scale dynamic systems represents a central area of research whose successful outcome could make important contributions to the analysis of crucial national and world problems. Although a great number of papers have been published on the theory of solving large-scale systems, not much in software exists that can successfully solve such systems. We believe that there has been little progress, because there has been little in the way of extensive experimentation comparing methods under laboratory-like conditions on representative models. At Stanford's Systems Optimization Laboratory (SOL), to bridge this gap between theory and application, experimental software for solving large-scale dynamic systems has been developed, proposed techniques on representative models have been systematically compared, and information regarding experimental results has been recorded and disseminated. This report gives an overview of some of the work being done at the Systems Optimization Laboratory.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 1976
- Accession Number
- ADA033736
Entities
People
- George Bernard Dantzig
- Shailendra C. Parikh
Organizations
- Stanford University