The Analytic Methods of Operations Research

Abstract

Originally, the techniques used by operational research teams were borrowed from other scientific fields. However, the scope of problems addressed by this new discipline soon led to the development of special analytic methods, including such now familiar terms as linear programming, game theory, dynamic programming, queueing theory, and so forth. This growth was accelerated by the parallel development of the high-speed digital computer and the modern concepts of solution algorithms and simulation models. When computational storage and speed were limited, emphasis was on the exploitation of a problem's special structure; as capabilities have expanded and costs have diminished, emphasis has shifted to the problems of data management for larger-scale problems. Efficient data-structure methods have led to new methods for 'unsolvable' combinatorial problems.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1977
Accession Number
ADA329289

Entities

People

  • Williams S. Jewell

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Business Administration
  • Computational Science
  • Dynamic Programming
  • Evolutionary Algorithms
  • Flow Network
  • Game Theory
  • Integer Programming
  • Linear Programming
  • Mathematical Models
  • Mathematical Programming
  • Operations Research
  • Optimization
  • Queueing Theory
  • Simplex Method
  • Systems Engineering
  • Theorems

Readers

  • Computer Programming and Software Development.
  • Mathematical Modeling and Probability Theory.
  • Systems Analysis and Design