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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.

Additional Information:

Title: Discrete Optimization
Author: R. Gary Parker,Ronald L. Rardin
Item ID: ppPOBQAAQBAJ
Publisher: Elsevier
Type: BOOK
Format File: PDF & EPUB
Android/iOS: Install “Google Play Books”
Page Count: 472
Category: Mathematics
Published Date: 2014-06-28
Language: en
Isbn 10: 1483294803
Isbn 13: 9781483294803
Sale Info: FOR_SALE
Price: 150.04 EUR


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