Free Ebook The Traveling Salesman Problem: A Computational Study (Princeton Series in Applied Mathematics) By David L. Applegate, Robert E. Bixby, V
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The Traveling Salesman Problem: A Computational Study (Princeton Series in Applied Mathematics) By David L. Applegate, Robert E. Bixby, V
Free Ebook The Traveling Salesman Problem: A Computational Study (Princeton Series in Applied Mathematics) By David L. Applegate, Robert E. Bixby, V
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- Sales Rank: #1445146 in Books
- Brand: Brand: Princeton University Press
- Published on: 2007-02-04
- Original language: English
- Number of items: 1
- Dimensions: 9.02" h x 1.50" w x 5.98" l, 2.14 pounds
- Binding: Hardcover
- 608 pages
- Used Book in Good Condition
Review
Winner of the 2007 Lanchester Prize, Informs
"The authors have done a wonderful job of explaining how they developed new techniques in response to the challenges posed by ever larger instances of the Traveling Salesman Problem."--MAA Online
"By bringing together the best work from a wide array of researchers, advancing the field where needed, describing their findings in a book, and implementing everything in an extremely well-written computer program, the authors show how research in computational combinatorial optimization should be done."--Michael Trick, Operations Research Letters
"The book is certainly a must for every researcher in practical TSP-computation."--Ulrich Faigle, Mathematical Reviews
"It is very well written and clearly structured. Many examples are provided, which help the reader to better understand the presented results. The authors succeed in describing the TSP problem, beginning with its history, and the first approaches, and ending with the state of the art."--Stefan Nickel, Zentralblatt MATH
"[T]the text read[s] more like a best-seller than a tome of mathematics. . . . The resulting book provides not only a map for understanding TSP computation, but should be the starting point for anyone interested in launching a computational assault on any combinatorial optimization problem."--Jan Karel Lenstra, SIAM Review
"By bringing together the best work from a wide array of researchers, advancing the field where needed, describing their findings in a book, and implementing everything in an extremely well-written computer program, the authors show how research in computational combinatorial optimization should be done."--Michael Trick, ScienceDirect
"[T]he book provides a comprehensive treatment of the traveling salesman problem and I highly recommend it not only to specialists in the area but to anyone interested in combinatorial optimization."--EMS Newsletter
From the Back Cover
"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 Chvatal 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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