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{ "item_title" : "Graph Theory", "item_author" : [" Geir Agnarsson", "Raymond Greenlaw "], "item_description" : "For junior- to senior-level courses in Graph Theory taken by majors in Mathematics, Computer Science, or Engineering or for beginning-level graduate courses.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 new text introduces basic concepts, definitions, theorems, and examples from graph theory. The authors present a collection of interesting results from mathematics that involve key concepts and proof techniques; cover design and analysis of computer algorithms for solving problems in graph theory; and discuss applications of graph theory to the sciences. It is mathematically rigorous, but also practical, intuitive, and algorithmic.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/13/142/384/0131423843_b.jpg", "price_data" : { "retail_price" : "173.32", "online_price" : "173.32", "our_price" : "173.32", "club_price" : "173.32", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Graph Theory|Geir Agnarsson

Graph Theory : Modeling, Applications, and Algorithms

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Overview

For junior- to senior-level courses in Graph Theory taken by majors in Mathematics, Computer Science, or Engineering or for beginning-level graduate courses. 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 new text introduces basic concepts, definitions, theorems, and examples from graph theory. The authors present a collection of interesting results from mathematics that involve key concepts and proof techniques; cover design and analysis of computer algorithms for solving problems in graph theory; and discuss applications of graph theory to the sciences. It is mathematically rigorous, but also practical, intuitive, and algorithmic.

This item is Non-Returnable

Details

  • ISBN-13: 9780131423848
  • ISBN-10: 0131423843
  • Publisher: Pearson
  • Publish Date: September 2006
  • Dimensions: 9.34 x 7.2 x 0.84 inches
  • Shipping Weight: 1.78 pounds
  • Page Count: 464

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