Theory of Computer Science Automata Languages and Computation 3rd Edition by KLP Mishra, N Chandrasekaran – Ebook PDF Instant Download/Delivery. 9788120329683
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ISBN 10:
ISBN 13: 9788120329683
Author: KLP Mishra, N Chandrasekaran
Theory of Computer Science: Automata, Languages, and Computation (3rd edition) is a comprehensive textbook that delves into the foundational principles of theoretical computer science. The book covers the study of automata theory, formal languages, and computation models, providing a deep understanding of the mathematical underpinnings of computer science. It explores key topics such as finite automata, context-free grammars, pushdown automata, Turing machines, and the concepts of decidability and computational complexity. Through clear explanations, rigorous proofs, and practical applications, the book introduces students to the core principles that govern how computers process information, solve problems, and execute algorithms. The third edition has been updated with additional examples, advanced topics in computational complexity, and discussions on emerging areas such as quantum computing, making it an essential resource for students and professionals alike.
Theory of Computer Science Automata Languages and Computation 3rd Table of contents:
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Mathematical Foundations
- 2.1 Sets, Relations, and Functions
- 2.2 Graph Theory Basics
- 2.3 Induction and Recursion
- 2.4 Formal Proof Techniques
- 2.5 Probability and Complexity in Computation
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Finite Automata
- 3.1 Introduction to Finite Automata
- 3.2 Deterministic Finite Automata (DFA)
- 3.3 Nondeterministic Finite Automata (NFA)
- 3.4 Equivalence of DFA and NFA
- 3.5 Regular Languages and Regular Expressions
- 3.6 Minimization of Finite Automata
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Regular Languages
- 4.1 Formal Definition of Regular Languages
- 4.2 Closure Properties of Regular Languages
- 4.3 Pumping Lemma for Regular Languages
- 4.4 Decision Algorithms for Regular Languages
- 4.5 Applications of Regular Languages
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Context-Free Grammars and Languages
- 5.1 Introduction to Context-Free Grammars (CFG)
- 5.2 Derivations and Parse Trees
- 5.3 Chomsky Normal Form (CNF)
- 5.4 Context-Free Languages and Their Properties
- 5.5 Pumping Lemma for Context-Free Languages
- 5.6 Applications of Context-Free Languages
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Pushdown Automata
- 6.1 Introduction to Pushdown Automata (PDA)
- 6.2 Deterministic and Nondeterministic PDAs
- 6.3 Equivalence of PDAs and Context-Free Languages
- 6.4 Parsing Techniques and Applications
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Turing Machines
- 7.1 Introduction to Turing Machines
- 7.2 Formal Definition and Models of Computation
- 7.3 Variants of Turing Machines
- 7.4 Universal Turing Machine
- 7.5 Church-Turing Thesis
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Decidability and Undecidability
- 8.1 Decidable and Undecidable Problems
- 8.2 Halting Problem and Reductions
- 8.3 Rice’s Theorem and Undecidable Properties
- 8.4 The Recursion Theorem
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Complexity Theory
- 9.1 Introduction to Computational Complexity
- 9.2 Time Complexity and Space Complexity
- 9.3 Class P and NP Problems
- 9.4 NP-Completeness and NP-Hardness
- 9.5 Reductions and Completeness
- 9.6 The P vs. NP Problem
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Advanced Topics in Computation
- 10.1 Polynomial Hierarchy
- 10.2 Probabilistic and Approximation Algorithms
- 10.3 Parallel Computation and Complexity
- 10.4 Quantum Computing and Its Implications
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Automata and Formal Languages in Software Engineering
- 11.1 Automata in Compiler Design
- 11.2 Formal Languages and Syntax Analysis
- 11.3 Regular Expressions in Software Development
- 11.4 Context-Free Languages and Syntax Trees
- 11.5 Applications in Natural Language Processing (NLP)
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Applications of Automata Theory
- 12.1 Automata in Network Protocols
- 12.2 Automata in Pattern Matching
- 12.3 Automata in Cryptography
- 12.4 Finite Automata in Hardware Design
- 12.5 Real-World Applications of Turing Machines
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