The Traveling Salesman Problem: A Computational Study (Princeton Series in Applied Mathematics)

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9780691129938: The Traveling Salesman Problem: A Computational Study (Princeton Series in Applied Mathematics)

This book presents the latest findings on one of the most intensely investigated subjects in computational mathematics--the traveling salesman problem. It sounds simple enough: given a set of cities and the cost of travel between each pair of them, the problem challenges you to find the cheapest route by which to visit all the cities and return home to where you began. Though seemingly modest, this exercise has inspired studies by mathematicians, chemists, and physicists. Teachers use it in the classroom. It has practical applications in genetics, telecommunications, and neuroscience.


The authors of this book are the same pioneers who for nearly two decades have led the investigation into the traveling salesman problem. They have derived solutions to almost eighty-six thousand cities, yet a general solution to the problem has yet to be discovered. Here they describe the method and computer code they used to solve a broad range of large-scale problems, and along the way they demonstrate the interplay of applied mathematics with increasingly powerful computing platforms. They also give the fascinating history of the problem--how it developed, and why it continues to intrigue us.

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From the Inside Flap:


"This book addresses one of the most famous and important combinatorial-optimization problems--the traveling salesman problem. It is very well written, with a vivid style that captures the reader's attention. Many examples are provided that are very useful to motivate and help the reader to better understand the results presented in the book."--Matteo Fischetti, University of Padova


"This is a fantastic book. Ever since the early days of discrete optimization, the traveling salesman problem has served as the model for computationally hard problems. The authors are main players in this area who forged a team in 1988 to push the frontiers on how good we are in solving hard and large traveling salesman problems. Now they lay out their views, experience, and findings in this book."--Bert Gerards, Centrum voor Wiskunde en Informatica


About the Author:

David L. Applegate is a researcher at AT&T Labs. Robert E. Bixby is Research Professor of Management and Noah Harding Professor of Computational and Applied Mathematics at Rice University. Vasek Chvátal is Canada Research Chair in Combinatorial Optimization at Concordia University. William J. Cook is Chandler Family Chair in Industrial and Systems Engineering at the Georgia Institute of Technology.

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Applegate, David L., Bixby, Robert E., Chvatal, Vasek, Cook, William J.
Editore: Princeton University Press (2006)
ISBN 10: 0691129932 ISBN 13: 9780691129938
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Descrizione libro Princeton University Press, 2006. Condizione libro: New. *Price HAS BEEN reduced this weekend for our July ABEBOOKS SALE!* 608 pp., Hardcover, NEW!!!. Codice libro della libreria ZB1063546

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David L. Applegate; Robert E. Bixby; Vasek Chvatal; William J. Cook
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Descrizione libro Princeton University Press, 2007. Hardcover. Condizione libro: New. Codice libro della libreria SONG0691129932

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Descrizione libro Princeton University Press, 2007. HRD. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria WP-9780691129938

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David L. Applegate, Robert E Bixby, Vasek Chvatal, William J Cook, Robert E. Bixby, Vasek Chvátal, William J. Cook
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ISBN 10: 0691129932 ISBN 13: 9780691129938
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Descrizione libro Princeton University Press 2007-02-20, Princeton |Oxford, 2007. hardback. Condizione libro: New. Codice libro della libreria 9780691129938

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David L. Applegate, Robert E. Bixby, Vasek Chvatal
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ISBN 10: 0691129932 ISBN 13: 9780691129938
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Descrizione libro Princeton University Press, United States, 2007. Hardback. Condizione libro: New. Language: English . Brand New Book. This book presents the latest findings on one of the most intensely investigated subjects in computational mathematics--the traveling salesman problem. It sounds simple enough: given a set of cities and the cost of travel between each pair of them, the problem challenges you to find the cheapest route by which to visit all the cities and return home to where you began. Though seemingly modest, this exercise has inspired studies by mathematicians, chemists, and physicists. Teachers use it in the classroom. It has practical applications in genetics, telecommunications, and neuroscience. The authors of this book are the same pioneers who for nearly two decades have led the investigation into the traveling salesman problem. They have derived solutions to almost eighty-six thousand cities, yet a general solution to the problem has yet to be discovered. Here they describe the method and computer code they used to solve a broad range of large-scale problems, and along the way they demonstrate the interplay of applied mathematics with increasingly powerful computing platforms. They also give the fascinating history of the problem--how it developed, and why it continues to intrigue us. Codice libro della libreria AAZ9780691129938

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David L. Applegate, Robert E. Bixby, Vasek Chvatal
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ISBN 10: 0691129932 ISBN 13: 9780691129938
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Descrizione libro Princeton University Press, United States, 2007. Hardback. Condizione libro: New. Language: English . Brand New Book. This book presents the latest findings on one of the most intensely investigated subjects in computational mathematics--the traveling salesman problem. It sounds simple enough: given a set of cities and the cost of travel between each pair of them, the problem challenges you to find the cheapest route by which to visit all the cities and return home to where you began. Though seemingly modest, this exercise has inspired studies by mathematicians, chemists, and physicists. Teachers use it in the classroom. It has practical applications in genetics, telecommunications, and neuroscience. The authors of this book are the same pioneers who for nearly two decades have led the investigation into the traveling salesman problem. They have derived solutions to almost eighty-six thousand cities, yet a general solution to the problem has yet to be discovered. Here they describe the method and computer code they used to solve a broad range of large-scale problems, and along the way they demonstrate the interplay of applied mathematics with increasingly powerful computing platforms. They also give the fascinating history of the problem--how it developed, and why it continues to intrigue us. Codice libro della libreria AAZ9780691129938

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ISBN 10: 0691129932 ISBN 13: 9780691129938
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Descrizione libro Condizione libro: New. Bookseller Inventory # ST0691129932. Codice libro della libreria ST0691129932

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Applegate, David L.; Bixby, Robert E.; Chvatal, Vasek; Cook, William J.
Editore: Princeton University Press (2007)
ISBN 10: 0691129932 ISBN 13: 9780691129938
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Descrizione libro Princeton University Press, 2007. Condizione libro: New. 2007. 2nd Printing. Hardcover. Presents the findings on one of the most intensely investigated subjects in computational mathematics - the travelling salesman problem. This book describes the method and computer code used to solve a range of large-scale problems, and demonstrates the interplay of applied mathematics with increasingly powerful computing platforms. Series: Princeton Series in Applied Mathematics. Num Pages: 608 pages, 200 line illus. BIC Classification: PBW; UYA. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 241 x 165 x 43. Weight in Grams: 1056. . . . . . . Codice libro della libreria V9780691129938

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David L. Applegate; Robert E. Bixby; Vasek Chvátal; William J. Cook
Editore: Princeton University Press (2007)
ISBN 10: 0691129932 ISBN 13: 9780691129938
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Descrizione libro Princeton University Press, 2007. Hardcover. Condizione libro: New. book. Codice libro della libreria 0691129932

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David L. Applegate, Robert E. Bixby, Vasek Chvátal, William J. Cook
Editore: Princeton University Press (2007)
ISBN 10: 0691129932 ISBN 13: 9780691129938
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Descrizione libro Princeton University Press, 2007. Hardcover. Condizione libro: New. Codice libro della libreria DADAX0691129932

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