Operations Research: Deterministic Optimization Models

Basic text on deterministic optimization methods. Techniques of modeling real world decision making problems, modeling examples that illustrate the use of modeling techniques, and a variety of problem classes are presented. Various types of algorithms with explanations of how each algorithm works and what conclusion can be drawn from its output, and a review of Matrix Algebra and Geometry and a chapter on Heuristic Methods.

Murty's study of optimization methods and applications has a two-fold objective: (1) to present techniques for and examples of modeling various real-world decision-making problems using appropriate mathematical models, and (2) to present a comprehensive treatment of the various types of algorithms to solve a wide variety of programming models, with explanations of how each algorithm works and what useful conclusions can be drawn from its output.