Algorithms

Dasgupta, Sanjoy; Papadimitriou, Christos; Vazirani, Umesh

  • 4.24 out of 5 stars
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ISBN 10: 0073523402 ISBN 13: 9780073523408
Published by McGraw-Hill Education (edition 1), 2006
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  • 4.24 out of 5 stars
    476 ratings by Goodreads

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Synopsis:

This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, explains the fundamentals of algorithms in a story line that makes the material enjoyable and easy to digest. Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal.

Features include: The use of boxes to strengthen the narrative: pieces that provide historical context, descriptions of how the algorithms are used in practice, and excursions for the mathematically sophisticated.

Carefully chosen advanced topics that can be skipped in a standard one-semester course, but can be covered in an advanced algorithms course or in a more leisurely two-semester sequence.

An accessible treatment of linear programming introduces students to one of the greatest achievements in algorithms. An optional chapter on the quantum algorithm for factoring provides a unique peephole into this exciting topic. In addition to the text, DasGupta also offers a Solutions Manual, which is available on the Online Learning Center.

"Algorithms is an outstanding undergraduate text, equally informed by the historical roots and contemporary applications of its subject. Like a captivating novel, it is a joy to read." Tim Roughgarden Stanford University

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Bibliographic Details

Title: Algorithms
Publisher: McGraw-Hill Education (edition 1)
Publication Date: 2006
Binding: Paperback
Condition: Good
Edition: 1.

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Dasgupta, Sanjoy; Papadimitriou, Christos; Vazirani, Umesh
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ISBN 10: 0073523402 ISBN 13: 9780073523408
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