Temporal Planning and Management Decision under Risk and Uncertainty.

Abstract

The theoretical research accomplished heretofore will continue to arise from concrete analytical problems of direct relevance to operations research of a military nature. Many of these are identical or closely similar in form to situations in industry, engineering, and other sciences to the extent that progress in one area implies progress in the other. Mathematically, the fields covered involve linear and non-linear optimization, integer and chance-constrained programming, mathematical statistics, game theory, multicriteria or poly-extremal optimization, algorithmic and computational methods. To be especially noted is that the project work has corresponded to directions indicated for accelerated research initiatives by the Mathematics Division of ONR. The major areas of significant research contributions were linear programming solution theory, convex duality and chance-constrained programming, stochastic and inverse problems, minimum discrimination information theory, data envelopment analysis, and computational methods. As may be noted, it is intended to continue in these directions of endeavor following the lead of openings suggested by these accomplishments.

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Document Details

Document Type
Technical Report
Publication Date
Dec 02, 1987
Accession Number
ADA189005

Entities

People

  • Abraham Charnes

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computational Complexity
  • Computational Science
  • Computer Programming
  • Computer Science
  • Convex Programming
  • Evolutionary Algorithms
  • Game Theory
  • Information Theory
  • Inverse Problems
  • Linear Programming
  • Mathematical Programming
  • Operations Research
  • Optimization
  • Systems Engineering
  • Systems Science

Readers

  • Operations Research
  • Research Science/Academic Research
  • Theoretical Analysis.