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Algorithmen von Christos, Sanjoy Dasgupta und Umesh Vazirani INTERNATIONALE AUSGABE

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Artikelzustand
Neu: Neues, ungelesenes, ungebrauchtes Buch in makellosem Zustand ohne fehlende oder beschädigte ...
Binding
SOFTCOVER
Contents
SAME as in US edition
ACTUAL ISBN
9789355325525
Product Type
INTERNATIONAL EDITION
ISBN
9780073523408

Über dieses Produkt

Product Identifiers

Publisher
Mcgraw-Hill Education
ISBN-10
0073523402
ISBN-13
9780073523408
eBay Product ID (ePID)
57031042

Product Key Features

Number of Pages
336 Pages
Publication Name
Algorithms
Language
English
Subject
Programming / Algorithms, Algebra / General
Publication Year
2006
Type
Textbook
Author
Umesh Vazirani, Sanjoy Dasgupta, Christos H. Papadimitriou
Subject Area
Mathematics, Computers
Format
Perfect

Dimensions

Item Height
0.5 in
Item Weight
17.5 Oz
Item Length
9.2 in
Item Width
7.3 in

Additional Product Features

Intended Audience
College Audience
LCCN
2006-049014
Illustrated
Yes
Table Of Content
0 Prologue 1 Algorithms with Numbers 2 Divide-and-Conquer Algorithms 3 Decompositions of Graphs 4 Paths in Graphs 5 Greedy algorithms 6 Dynamic Programming 7 Linear Programming and Reductions 8 NP-complete Problems 9 Coping with NP-completeness 10 Quantum Algorithms
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, 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, 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
LC Classification Number
QA9.58.D37 2007

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