Graph Theory: Modeling, Applications, and Algorithms 1st Edition

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ISBN-13: 978-0131423848
ISBN-10: 0131423843
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Paperback, October 2, 2006
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Editorial Reviews

From the Back Cover

Once considered an “unimportant branch of topology, graph theory has come into its own through many important contributions to a wide range of fields - and is now one of the fastest-growing areas in discrete mathematics and computer science. This practical, intuitive book introduces basic concepts, definitions, theorems, and examples from graph theory.Presents a collection of interesting results from mathematics that involve key concepts and proof techniques. Covers design and analysis of computer algorithms for solving problems in graph theory. Discusses applications of graph theory to the sciences. Includes a collection of graph algorithms, written in Java, that are ready for compiling and running.For anyone interested in learning graph theory, discrete structures, or algorithmic design for graph problems.


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Product Details

  • Paperback: 464 pages
  • Publisher: Pearson; 1 edition (October 2, 2006)
  • Language: English
  • ISBN-10: 0131423843
  • ISBN-13: 978-0131423848
  • Product Dimensions: 7 x 1.2 x 9 inches
  • Shipping Weight: 1.8 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #833,049 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

11 of 11 people found the following review helpful By Babak Khorrami on April 2, 2007
Format: Paperback
This is a very good introductory book on Graph Theory. If you don't want to be overwhelmed by Doug West's, etc., and yet receive a decent introduction to the topic, this book is your best bet. It covers all the topics required for an advanced undergrad course or a graduate level graph theory course for Math, engineering, operations research or computer science students in good depth and details. There are good examples and interesting exercises; some computer codes (JAVA) are also available in the book implementing some of the algorithms.

I would say O.R. and CS people will benefit a lot from it both as a reference or a textbook if adapted for a one semester graduate course. The only drawback is the price!
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