Software for Optimization.
Abstract
Our aim in this paper is to provide the reader with: some feel for what quality software entails, an overview of various aspects of optimization software, information on solution techniques and available software in the form of a decision tree; and An extensive bibliography so that the reader can further pursue specific topics of interest. We concentrate upon linear programming, non-linear unconstrained optimization and related areas, and non-linear programming.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1978
- Accession Number
- ADA066343
Entities
People
- L. Nazareth
Organizations
- Stanford University