Discrete Mathematics and Graph Theory A Concise Study Companion and Guide /
Erciyes, K.
Discrete Mathematics and Graph Theory A Concise Study Companion and Guide / [electronic resource] : by K. Erciyes. - 1st ed. 2021. - XVI, 336 p. 169 illus. online resource. - Undergraduate Topics in Computer Science, 2197-1781 . - Undergraduate Topics in Computer Science, .
Preface -- Part I: Fundamentals of Discrete Mathematics -- Logic -- Proofs -- Algorithms -- Set Theory -- Relations and Functions -- Sequences, Induction and Recursion -- Introduction to Number Theory -- Counting and Probability -- Boolean Algebra and Combinational Circuits -- Introduction to the Theory of Computation -- Part II: Graph Theory -- Introduction to Graphs -- Trees and Traversals -- Subgraphs -- Connectivity, Network Flows and Shortest Paths -- Graph Applications -- A: -- Pseudocode Conventions -- Index.
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.
9783030611156
10.1007/978-3-030-61115-6 doi
Computer science--Mathematics.
Discrete mathematics.
Graph theory.
Engineering mathematics.
Machine theory.
Proof theory.
Discrete Mathematics in Computer Science.
Graph Theory.
Engineering Mathematics.
Formal Languages and Automata Theory.
Proof Theory and Constructive Mathematics.
QA76.9.M35 QA297.4
004.0151
Discrete Mathematics and Graph Theory A Concise Study Companion and Guide / [electronic resource] : by K. Erciyes. - 1st ed. 2021. - XVI, 336 p. 169 illus. online resource. - Undergraduate Topics in Computer Science, 2197-1781 . - Undergraduate Topics in Computer Science, .
Preface -- Part I: Fundamentals of Discrete Mathematics -- Logic -- Proofs -- Algorithms -- Set Theory -- Relations and Functions -- Sequences, Induction and Recursion -- Introduction to Number Theory -- Counting and Probability -- Boolean Algebra and Combinational Circuits -- Introduction to the Theory of Computation -- Part II: Graph Theory -- Introduction to Graphs -- Trees and Traversals -- Subgraphs -- Connectivity, Network Flows and Shortest Paths -- Graph Applications -- A: -- Pseudocode Conventions -- Index.
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.
9783030611156
10.1007/978-3-030-61115-6 doi
Computer science--Mathematics.
Discrete mathematics.
Graph theory.
Engineering mathematics.
Machine theory.
Proof theory.
Discrete Mathematics in Computer Science.
Graph Theory.
Engineering Mathematics.
Formal Languages and Automata Theory.
Proof Theory and Constructive Mathematics.
QA76.9.M35 QA297.4
004.0151