Recent Applications in Graph Theory

Harun Pirim

ISBN 10: 1839695269 / ISBN 13: 9781839695261

Published by Intechopen, 2022

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9781839695261

Bibliographic Details

• Title: Recent Applications in Graph Theory
• Publisher: Intechopen
• Publication Date: 2022
• Language: English
• ISBN 10: 1839695269
• ISBN 13: 9781839695261
• Binding: Buch
• Condition: Neu
• Dimensions: 266W x 185H x 13D millimeters 266 millimeters width by 185 millimeters height by 13 millimeters depth
• Weight: 465 grams

About this title

Synopsis

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.