Discrete Mathematics and Graph Theory: A Concise Study Companion and Guide (Undergraduate Topics in Computer Science)

Erciyes, K.

ISBN 10: 3030611140 / ISBN 13: 9783030611149

Published by Springer, 2021

About this Item

Seller Inventory # mon0004131271

Bibliographic Details

• Title: Discrete Mathematics and Graph Theory: A Concise Study Companion and Guide (Undergraduate Topics in Computer Science)
• Publisher: Springer
• Publication Date: 2021
• Language: English
• ISBN 10: 3030611140
• ISBN 13: 9783030611149
• Binding: paperback
• Condition: Fine

About this title

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.

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.