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{ "item_title" : "Recent Applications in Graph Theory", "item_author" : [" Harun Pirim "], "item_description" : "Graph theory, being a rigorously investigated field of combinatorial mathematics, is adopted by a wide variety of disciplines addressing a plethora of real-world applications. Advances in graph algorithms and software implementations have made graph theory accessible to a larger community of interest. Ever-increasing interest in machine learning and model deployments for network data demands a coherent selection of topics rewarding a fresh, up-to-date summary of the theory and fruitful applications to probe further. This volume is a small yet unique contribution to graph theory applications and modeling with graphs. The subjects discussed include information hiding using graphs, dynamic graph-based systems to model and control cyber-physical systems, graph reconstruction, average distance neighborhood graphs, and pure and mixed-integer linear programming formulations to cluster networks.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/83/969/526/1839695269_b.jpg", "price_data" : { "retail_price" : "155.00", "online_price" : "155.00", "our_price" : "155.00", "club_price" : "155.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Recent Applications in Graph Theory|Harun Pirim

Recent Applications in Graph Theory

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Overview

Graph theory, being a rigorously investigated field of combinatorial mathematics, is adopted by a wide variety of disciplines addressing a plethora of real-world applications. Advances in graph algorithms and software implementations have made graph theory accessible to a larger community of interest. Ever-increasing interest in machine learning and model deployments for network data demands a coherent selection of topics rewarding a fresh, up-to-date summary of the theory and fruitful applications to probe further. This volume is a small yet unique contribution to graph theory applications and modeling with graphs. The subjects discussed include information hiding using graphs, dynamic graph-based systems to model and control cyber-physical systems, graph reconstruction, average distance neighborhood graphs, and pure and mixed-integer linear programming formulations to cluster networks.

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Details

  • ISBN-13: 9781839695261
  • ISBN-10: 1839695269
  • Publisher: Intechopen
  • Publish Date: May 2022
  • Dimensions: 9.61 x 6.69 x 0.31 inches
  • Shipping Weight: 0.84 pounds
  • Page Count: 112

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