Discrete Mathematics and Graph Theory - (Undergraduate Topics in Computer Science) by K Erciyes (Paperback)

Book Synopsis

This textbook can serve as a comprehensive manual of discrete mathematics and graph theory for non-Computer Science majors; as a reference and study aid for professionals and researchers who have not taken any discrete math course before. It can also be used as a reference book for a course on Discrete Mathematics in Computer Science or Mathematics curricula.

The study of discrete mathematics is one of the first courses on curricula in various disciplines such as Computer Science, Mathematics and Engineering education practices.

Graphs are key data structures used to represent networks, chemical structures, games etc. and are increasingly used more in various applications such as bioinformatics and the Internet. Graph theory has gone through an unprecedented growth in the last few decades both in terms of theory and implementations; hence it deserves a thorough treatment which is not adequately found in any other contemporary books on discrete mathematics, whereas about 40% of this textbook is devoted to graph theory.

The text follows an algorithmic approach for discrete mathematics and graph problems where applicable, to reinforce learning and to show how to implement the concepts in real-world applications.

From the Back Cover

The study of discrete mathematics is one of the first courses on curricula in various educational disciplines such as Computer Science, Mathematics and Engineering.

Graphs are key data structures used to represent networks, chemical structures, games etc. and are increasingly used more in various applications such as bioinformatics and the Internet. Graph theory has gone through an unprecedented growth in the last few decades both in terms of theory and implementations; hence it deserves a thorough treatment which is not adequately found in any other contemporary books on discrete mathematics, whereas about 40% of this textbook is devoted to graph theory.

Employing an algorithmic approach, this clearly structured textbook/reference presents a comprehensive review of the fundamental principles of discrete mathematics with emphasis on graph theory. It aims to be a study companion and a guide for discrete mathematics and graph theory.

Topics and features:

• Provides a detailed and concise review of the main concepts of discrete mathematics
• Presents a focus on graph theory concepts
• Surveys main algorithmic methods
• Employs algorithmic solutions to many discrete math and graph theory problems
• Includes chapter summaries, end-of-chapter review questions, numerous examples, and exercises

This unique textbook can serve as a comprehensive manual of discrete mathematics and graph theory for Computer Science or non-CS majors. In addition, its easy-to-read chapters, filled with examples, make it a highly useful reference and study aid for professionals and researchers who have not taken any discrete math course previously.

Dr. K. Erciyes is a professor of Computer Engineering at Üsküdar University, İstanbul. His other publications include the Springer titles Distributed Graph Algorithms for Computer Networks, Distributed and Sequential Algorithms for Bioinformatics, Guide to Graph Algorithms and Distributed Real-Time Systems.

Review Quotes

"This accessible reference book should be well received by undergraduate-level CS, engineering, and mathematics students." (Soubhik Chakraborty, Computing Reviews, July 12, 2022)
"The book under review is an elementary introduction to mathematical logic, set theory, discrete mathematics, number theory, probability theory and graph theory. Its undoubted advantage is its good algorithmic support. ... I would recommend this book to students studying computer science at the bachelor's level." (I. M. Erusalimskiy, zbMATH 1477.68004, 2022)

About the Author

Dr. Kayhan Erciyes is a full Professor in the Department of Computer Engineering at Üsküdar University, Istanbul, Turkey. His other publications include the Springer titles Distributed Real-Time Systems, Guide to Graph Algorithms, Distributed and Sequential Algorithms for Bioinformatics, and Distributed Graph Algorithms for Computer Networks.