Discrete Mathematics and Graph Theory by K Erciyes
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.
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Modelling Computing Systems
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Data Structures and Algorithms with Python
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Sets, Logic and Maths for Computing
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Fundamentals of Discrete Math for Computer Science
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Principles of Digital Image Processing
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Introduction to Artificial Intelligence
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A First Introduction to Quantum Computing and Information
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Introduction to Data Science
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A Practical Approach to Compiler Construction
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A Concise Introduction to Languages and Machines
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Mathematics for Computer Graphics
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A Beginners Guide to Python 3 Programming
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Philosophical and Cultural Aspects of Computing
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Principles of Data Mining
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Pattern Recognition
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Introduction to Deep Learning
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Financial Software Engineering
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Guide to Competitive Programming
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Advanced Guide to Python 3 Programming
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Introduction to Medical Image Analysis
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Introduction to Video and Image Processing
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Introduction to Software Quality
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Multicore Programming Using the ParC Language
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Introduction to HPC with MPI for Data Science
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Computability and Complexity
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Object-Oriented Programming Languages: Interpretation
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Introduction to Parallel Computing
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Concise Guide to Databases
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Human-Centred Scientific Data Visualisation
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Guide to Using Generative AI in Programming
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Programming in HTML and PHP
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Introduction to Cryptographic Definitions
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Proofs and Algorithms
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Introduction to Software Process Improvement
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Rigorous Software Development
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Sensing and Systems in Pervasive Computing
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Autonomic Computing
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OCaml Scientific Computing
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Applied Logic for Computer Scientists
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Basic Graph Theory
“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)
| SKU | Unavailable |
| ISBN 13 | 9783030611149 |
| ISBN 10 | 3030611140 |
| Title | Discrete Mathematics and Graph Theory |
| Author | K Erciyes |
| Series | Undergraduate Topics In Computer Science |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2021-01-29 |
| Number of pages | 336 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |