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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Preface
In the rapidly evolving landscape of computer science, the significance of graph theory has become increasingly pronounced. As a foundational pillar of both theoretical and applied computer science, graph theory provides essential tools and methodologies for modeling complex relationships and structures inherent in various domains. This book, titled Graph Theory for Computer Science, aims to bridge the gap between abstract mathematical concepts and practical applications, offering a comprehensive exploration of graph theory’s role in contemporary computing.
Graph theory, at its core, is the study of graphs, which are mathematical structures used to model pairwise relationships between objects. A graph consists of vertices (or nodes) connected by edges, and it serves as a versatile framework for representing a myriad of systems, from social networks and transportation systems to biological networks and communication protocols. The versatility of graphs allows computer scientists to analyze and solve problems that involve connectivity, flow, and optimization, making it an indispensable tool in the field.
The chapters in this book are meticulously curated to cover a wide array of topics that highlight the relevance of graph theory in computer science. Each chapter delves into specific applications, algorithms, and theoretical underpinnings, providing readers with a holistic understanding of the subject. The book is structured to cater to both newcomers and seasoned professionals, ...
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