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McGraw-Hill Science/Engineering/Math; 2 edition | ISBN: 0070131511 | 1056 pages | July 16, 2001 | CHM The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures. Like the first edition, this text can also be used for self-study by technical professionals since it discusses engineering issues in algorithm design as well as the mathematical aspects. In its new edition, Introduction to Algorithms continues to provide a comprehensive introduction to the modern study of algorithms. The revision has been updated to reflect changes in the years since the book's original publication. New chapters on the role of algorithms in computing and on probabilistic analysis and randomized algorithms have been included. Sections throughout the book have been rewritten for increased clarity, and material has been added wherever a fuller explanation has seemed useful or new information

Slides Inside..   Numerous practical problems are integer optimization problems that are intractable. Such problems are commonly addressed with heuristics that provide a solution, but not information on the solution's quality. The approximation algorithms' framework provides a guarantee on the quality of the solution obtained. This framework has been used as a guide to developing algorithms in specific problem areas with increasingly improved performance. The book describes the state-of-the-art algorithms in each specialized area and reviews the most effective technical tools used. The thirteen chapters of the book are written by leading researchers that have contributed to the state of the art of approximation algorithms. Download: http://www.mediafire.com/?lq24ojjcmgavwvp

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