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Discrete Optimization

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by R. Gary Parker & Ronald L. Rardin
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Discrete Optimization by R. Gary Parker & Ronald L. Rardin

This book treats the fundamental issues and algorithmic strategies emerging as the core of the discipline of discrete optimization in a comprehensive and rigorous fashion. Following an introductory chapter on computational complexity, the basic algorithmic results for the two major models of polynomial algorithms are introduced--models using matroids and linear programming. Further chapters treat the major non-polynomial algorithms: branch-and-bound and cutting planes. The text concludes with a chapter on heuristic algorithms.
Several appendixes are included which review the fundamental ideas of linear programming, graph theory, and combinatorics--prerequisites for readers of the text. Numerous exercises are included at the end of each chapter.

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Ebook Details
Pages: 472
Size: 26.3 MB
Publisher: Academic Press
Date published:   2014
ISBN: 9781483294803 (DRM-PDF)

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Nonfiction > Mathematics

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