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.
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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.
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0 of 2 people found the following review helpful:
2.0 out of 5 stars
The choice of the thirsty for application.,
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This review is from: Operations Research: Deterministic Optimization Models (Paperback)
This exercise-filled deterministic optimization course book was my introduction to linear, integer and non-linear programming, and also taught me a lot of what I know about general linear algebra. It (the book) can be very hard to read for the novice, and should be considered a source of raw practice problems and examples. In lack of substance this is often a resort to some authors, but Murty has done it well. The examples are widely useful and interesting and should be considered a goldmine for any professor teaching optimization or trying to compile an exam for graduate students. To digest it's bulk text one should be familiar whith the language of mathematics in order not having to stop to breathe or having to go for a walk every once in a while.
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