Learn to identify the implementation of Discrete Structure and Theory of Automata in a myriad of applications used in day to day lifeKey Featuresa- Learn how to write an argument using logical notation and decide if the argument is valid or not valid.a- Learn how to use the concept of different data structures (stacks, queues, sorting concept, etc.) in the computer science field.a- Learn how to use Automata Machines like FSM, Pushdown automata, Turing machine, etc. in various applications related to computer science through suitable practical illustration.a- Learn how to implement the finite state machine using JFLAP (Java Formal Languages and Automata Package).DescriptionThis book's purpose is to provide a modern and comprehensive introduction to the subject of Discrete Structures and Automata Theory. Discrete structures, also called Discrete Mathematics, are an exciting and active subject, particularly due to its extreme relevance to both Mathematics and Computer Science and Algorithms. This subject forms a common foundation for rigorous Mathematical, Logical Reasoning and Proofs, as well as a formal introduction to abstract objects that are essential tools in an assortment of applications and effective computer implementations. Computing skills are now an integral part of almost all the Scientific fields, and students are very enthusiastic about being able to harness the full computing power of these tools. Further, this book also deep dives into the Automata Theory with various examples that illustrate the basic concepts and is substantiated with multiple diagrams. The book's vital feature is that it contains the practical implementation of the Automata Machine example through the JFLAP Tool. Courses on Discrete Structures and Automata theory are offered at most universities and colleges.What will you learna- Understand the basic concepts of Sets and operations in Sets.a- Demonstrate different traversal techniques for Trees and Graphs.a- Deep dive into the concept of Mathematical Induction, Sets, Relations, Functions, Recursion, Graphs, Trees, Boolean Algebra, and Proof techniques.a- Understand the concept of Automata Machines in day to day life like the Elevator, Turnstile, Genetic Algorithms, Traffic lights, etc.a- Use the JFLAP tool to solve the various exercise problems related to automata theory.Who this book is forThis book is a must-read to everyone interested in improving their concepts regarding Discrete Structure and Automata Theory.Table of Contents1. Set Theory2. Relations and Functions3. Graph Theory4. Trees5. Algebraic Structure6. Recursion and Recurrence Relations7. Sorting8. Queues9. Introduction10. Finite Automata Theory11. Theory of Machines12. Regular Language13. Grammar14. Pushdown Automata15. Cellular Automata16. Turning Machine17. Problems Solving Using JFLAP Tool18. Revision QuestionsAbout the AuthorsDr. UMESH SEHGAL completed his Ph.D.,M.Phil. Computer Science and MCA. He held academic positions at the GNA University as an A.P in FCS Department. He has achieved the Best Educationist Award in 2017.He has achieved the Indira Gandhi Education Excellence Award in 2017.He has achieved the Best Researcher Award in 2018-19.He has published several articles in leading International and National Computer science journals and has been an invited speaker at Wireless networks based lectures and conferences in the many universities and Institutes in India, Malaysia, China, and UAE.SUKHPREET KAUR GILL received the M.Tech. degree in Computer Science and Engineering from Guru Nanak Dev Engineering College, Ludhiana. She is currently working as Assistant Professor at GNA University Phagwara. She has achieved the Bright Educator Award 2019. She has published several articles in leading International and National Computer science journals.

Discrete Structures and Automata Theory is designed for an introductory course on formal languages, automata and discrete mathematics. Divided into two parts it covers discrete methods - stressing the finite nature in many problems and structures; combinatorics - the algebra of enumeration or coding and finite algebraic structures - effecting coding theory, method of enumeration, gating networks and combinatorial designs. It also discusses the applications of Automata Theory in Compiler design, Natural Language Processing and development of new programming languages.

''In writing this book, care was taken to use language and examples that gradually wean students from a simpleminded mechanical approach and move them toward mathematical maturity. We also recognize that many students who hesitate to ask for help from an instructor need a readable text, and we have tried to anticipate the questions that go unasked. The wide range of examples in the text are meant to augment the "favorite examples" that most instructors have for teaching the topcs in discrete mathematics. To provide diagnostic help and encouragement, we have included solutions and/or hints to the odd-numbered exercises. These solutions include detailed answers whenever warranted and complete proofs, not just terse outlines of proofs. Our use of standard terminology and notation makes Applied Discrete Structures a valuable reference book for future courses. Although many advanced books have a short review of elementary topics, they cannot be complete. The text is divided into lecture-length sections, facilitating the organization of an instructor's presentation.Topics are presented in such a way that students' understanding can be monitored through thought-provoking exercises. The exercises require an understanding of the topics and how they are interrelated, not just a familiarity with the key words. An Instructor's Guide is available to any instructor who uses the text. It includes: Chapter-by-chapter comments on subtopics that emphasize the pitfalls to avoid; Suggested coverage times; Detailed solutions to most even-numbered exercises; Sample quizzes, exams, and final exams. This textbook has been used in classes at Casper College (WY), Grinnell College (IA), Luzurne Community College (PA), University of the Puget Sound (WA).''--

Investigates automata networks as algebraic structures and develops their theory in line with other algebraic theories, such as those of semigroups, groups, rings, and fields. The authors also investigate automata networks as products of automata, that is, as compositions of automata obtained by cascading without feedback or with feedback of various restricted types or, most generally, with the feedback dependencies controlled by an arbitrary directed graph. They survey and extend the fundamental results in regard to automata networks, including the main decomposition theorems of Letichevsky, of Krohn and Rhodes, and of others.

Teaches students the mathematical foundations of computer science, including logic, Boolean algebra, basic graph theory, finite state machines, grammars and algorithms, and helps them understand mathematical reasoning for reading, comprehension and construction of mathematical arguments.

Discrete Structure, Logic, and Computability introduces the beginning computer science student to some of the fundamental ideas and techniques used by computer scientists today, focusing on discrete structures, logic, and computability. The emphasis is on the computational aspects, so that the reader can see how the concepts are actually used. Because of logic's fundamental importance to computer science, the topic is examined extensively in three phases that cover informal logic, the technique of inductive proof; and formal logic and its applications to computer science.

Written in an accessible style, this text provides a complete coverage of discrete mathematics and its applications at an appropriate level of rigour. The book discusses algebraic structures, mathematical logic, lattices, Boolean algebra, graph theory, automata theory, grammars and recurrence relations. It covers the important topics such as coding theory, Dijkstra’s shortest path algorithm, reverse polish notation, Warshall’s algorithm, Menger’s theorem, Turing machine, and LR(k) parsers, which form a part of the fundamental applications of discrete mathematics in computer science. In addition, Pigeonhole principle, ring homomorphism, field and integral domain, trees, network flows, languages, and recurrence relations. The text is supported with a large number of examples, worked-out problems and diagrams that help students understand the theoretical explanations. The book is intended as a text for postgraduate students of mathematics, computer science, and computer applications. In addition, it will be extremely useful for the undergraduate students of computer science and engineering.

Many years of practical experience in teaching discrete mathematics form the basis of this text book. Part I contains problems on such topics as Boolean algebra, k-valued logics, graphs and networks, elements of coding theory, automata theory, algorithms theory, combinatorics, Boolean minimization and logical design. The exercises are preceded by ample theoretical background material. For further study the reader is referred to the extensive bibliography. Part II follows the same structure as Part I, and gives helpful hints and solutions. Audience:This book will be of great value to undergraduate students of discrete mathematics, whereas the more difficult exercises, which comprise about one-third of the material, will also appeal to postgraduates and researchers.

DISCRETE MATHEMATICS WITH APPLICATIONS, 5th Edition, Metric Edition explains complex, abstract concepts with clarity and precision and provides a strong foundation for computer science and upper-level mathematics courses of the computer age. Author Susanna Epp presents not only the major themes of discrete mathematics, but also the reasoning that underlies mathematical thought. Students develop the ability to think abstractly as they study the ideas of logic and proof. While learning about such concepts as logic circuits and computer addition, algorithm analysis, recursive thinking, computability, automata, cryptography and combinatorics, students discover that the ideas of discrete mathematics underlie and are essential to today's science and technology.

Learn to identify the implementation of Discrete Structure and Theory of Automata in a myriad of applications used in day to day life Key Features _ Learn how to write an argument using logical notation and decide if the argument is valid or not valid. _ Learn how to use the concept of different data structures (stacks, queues, sorting concept, etc.) in the computer science field. _ Learn how to use Automata Machines like FSM, Pushdown automata, Turing machine, etc. in various applications related to computer science through suitable practical illustration. _ Learn how to implement the finite state machine using JFLAP (Java Formal Languages and Automata Package). Description This book's purpose is to provide a modern and comprehensive introduction to the subject of Discrete Structures and Automata Theory. Discrete structures, also called Discrete Mathematics, are an exciting and active subject, particularly due to its extreme relevance to both Mathematics and Computer Science and Algorithms. This subject forms a common foundation for rigorous Mathematical, Logical Reasoning and Proofs, as well as a formal introduction to abstract objects that are essential tools in an assortment of applications and effective computer implementations. Computing skills are now an integral part of almost all the Scientific fields, and students are very enthusiastic about being able to harness the full computing power of these tools. Further, this book also deep dives into the Automata Theory with various examples that illustrate the basic concepts and is substantiated with multiple diagrams. The book's vital feature is that it contains the practical implementation of the Automata Machine example through the JFLAP Tool. Courses on Discrete Structures and Automata theory are offered at most universities and colleges. What will you learn _ Understand the basic concepts of Sets and operations in Sets. _ Demonstrate different traversal techniques for Trees and Graphs. _ Deep dive into the concept of Mathematical Induction, Sets, Relations, Functions, Recursion, Graphs, Trees, Boolean Algebra, and Proof techniques. _ Understand the concept of Automata Machines in day to day life like the Elevator, Turnstile, Genetic Algorithms, Traffic lights, etc. _ Use the JFLAP tool to solve the various exercise problems related to automata theory. Who this book is for This book is a must-read to everyone interested in improving their concepts regarding Discrete Structure and Automata Theory. Table of Contents 1. Set Theory 2. Relations and Functions 3. Graph Theory 4. Trees 5. Algebraic Structure 6. Recursion and Recurrence Relations 7. Sorting 8. Queues 9. Introduction 10. Finite Automata Theory 11. Theory of Machines 12. Regular Language 13. Grammar 14. Pushdown Automata 15. Cellular Automata 16. Turning Machine 17. Problems Solving Using JFLAP Tool 18. Revision Questions