December 2025
Intermediate to advanced
576 pages
14h 22m
English
book
Graph Theory for Computer Science
by Manikandan Rajagopal, Ramkumar Sivasakthivel, Joseph Varghese Kureethara, Niranjanamurthy M., Biswadip Basu Mallik
Content preview from Graph Theory for Computer Science
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28Leveraging Graph Theory for Transformative Applications in Computing and Technology
Niranjanamurthy M.1, Mayuri K. P.1*, Amitha S. K.1 and Ranjan Kumar Mishra2
1Department of Artificial Intelligence and Machine Learning, BMS Institute of Technology and Management, Bangalore, India
2School of IT, Netaji Subhash University, Jamshedpur, Jharkhand, India
Abstract
Graphs are regarded as a great modeling tool that can be used to simulate a wide range of relationship types in any physical scenario. Graphs can be used to represent a wide range of real-world issues. In order to show the value of graph theory, this paper examines several concepts related to the idea of graphs and its utilization in the field of computation. The main purpose of these applications is to showcase the concept of graph theory and highlight its significance in computational development: graphical representations, colored graphs, graph illustration, mobility, obligations. This chapter primarily focuses on computational science implications that leverage concepts from graph theory, while it also provides an overview of graph theory’s applications in disparate domains to some measure. This structural reorganization of different items or technologies results in new discoveries and alterations to the current environment for advancement in those domains.
Keywords: Graphical representations, colored graphs, graph illustration, mobility, obligations
28.1 Introduction
An essential branch of mathematics called graph ...
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