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{ "item_title" : "The Graph Isomorphism Algorithm", "item_author" : [" John-Tagore Tevet", "Ashay Dharwadker "], "item_description" : "We present a new polynomial-time algorithm for determining whether two given graphs are isomorphic or not. We prove that the algorithm is necessary and sufficient for solving the Graph Isomorphism Problem in polynomial-time, thus showing that the Graph Isomorphism Problem is in P. The semiotic theory for the recognition of graph structure is used to define a canonical form of the sign matrix of a graph. We prove that the canonical form of the sign matrix is uniquely identifiable in polynomial-time for isomorphic graphs. The algorithm is demonstrated by solving the Graph Isomorphism Problem for many of the hardest known examples. We implement the algorithm in C++ and provide a demonstration program for Microsoft Windows.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/46/639/437/1466394374_b.jpg", "price_data" : { "retail_price" : "15.00", "online_price" : "15.00", "our_price" : "15.00", "club_price" : "15.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Graph Isomorphism Algorithm|John-Tagore Tevet

The Graph Isomorphism Algorithm : Graph Isomorphism is in P

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Overview

We present a new polynomial-time algorithm for determining whether two given graphs are isomorphic or not. We prove that the algorithm is necessary and sufficient for solving the Graph Isomorphism Problem in polynomial-time, thus showing that the Graph Isomorphism Problem is in P. The semiotic theory for the recognition of graph structure is used to define a canonical form of the sign matrix of a graph. We prove that the canonical form of the sign matrix is uniquely identifiable in polynomial-time for isomorphic graphs. The algorithm is demonstrated by solving the Graph Isomorphism Problem for many of the hardest known examples. We implement the algorithm in C++ and provide a demonstration program for Microsoft Windows.

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Details

  • ISBN-13: 9781466394377
  • ISBN-10: 1466394374
  • Publisher: Createspace Independent Publishing Platform
  • Publish Date: October 2011
  • Dimensions: 11 x 8.5 x 0.1 inches
  • Shipping Weight: 0.25 pounds
  • Page Count: 38

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