📘 Theory of Automata – (2025–2026 Edition)
📚 Theory of Automata (2025–2026 Edition) is a comprehensive syllabus-based textbook designed for BSCS, BSIT, and Software Engineering students as well as self-learners who wish to master the mathematical foundations of computation and formal language theory.
This edition bridges theoretical foundations and practical insights, featuring detailed explanations, examples, MCQs, and quizzes. Students will develop the ability to model computation, design automata, and analyze language hierarchies — essential for fields like compiler design, artificial intelligence, and algorithm theory.
The book offers a structured journey from finite automata and regular languages to Turing machines, computability, and Chomsky’s hierarchy, ensuring both conceptual clarity and application depth.
📂 Chapters & Topics
🔹 Chapter 1: Introduction to Automata and Formal Languages
-Importance of Automata Theory
-Mathematical Preliminaries (Sets, Functions, Relations, Graphs)
-Alphabets, Strings, and Languages
-Language Classifications and Operations
🔹 Chapter 2: Regular Languages and Finite Automata
-Deterministic Finite Automata (DFA)
-Non-deterministic Finite Automata (NFA)
-Equivalence of DFA and NFA
-Regular Expressions and Algebraic Laws
-Conversion between DFA, NFA, and Regular Expressions
-Transition Graphs and Kleene’s Theorem
-Applications of Regular Languages
🔹 Chapter 3: Properties and Limitations of Regular Languages
-Pumping Lemma for Regular Languages
-Non-Regular Languages
-Closure and Decision Properties
-Transducers (Finite Automata with Output)
-Moore and Mealy Machines
🔹 Chapter 4: Context-Free Grammars and Pushdown Automata
-Context-Free Grammars (CFGs) and Derivations
-Ambiguity and Grammar Simplification
-Normal Forms (CNF, GNF)
-Pushdown Automata (PDA) and Acceptance Methods
-Equivalence of CFGs and PDA
🔹 Chapter 5: Context-Free Languages (CFLs)
-Properties of CFLs
-Pumping Lemma for CFLs
-Closure and Decision Properties
🔹 Chapter 6: Turing Machines and Their Variants
-Turing Machine Model and Computation
-Language Recognition by TM
-Multi-Tape and Non-Deterministic Turing Machines
-Universal Turing Machine
-TM Encoding and Equivalence of Variants
🔹 Chapter 7: Computability and Decidability
-Decidable and Undecidable Problems
-The Halting Problem
-Post Correspondence Problem (PCP)
-Recursive and Recursively Enumerable Languages
-Reducibility and Its Applications
🔹 Chapter 8: Chomsky Hierarchy
-Type-0 to Type-3 Languages (RE, CS, CF, Regular)
-Grammar Hierarchies and Relationships
-Applications of the Chomsky Hierarchy
🌟 Why Choose This Book/App?
✅ Complete syllabus coverage with academic insights
✅ MCQs, quizzes, and examples for conceptual reinforcement
✅ Balanced focus on mathematical rigor and computational intuition
✅ Helps students prepare for exams, projects, and research foundations
✅ Ideal for anyone exploring automata, formal languages, and computability
✍ This app is inspired by authors:
John E. Hopcroft, Jeffrey D. Ullman, Rajeev Motwani, Michael Sipser
📥 Download Now!
Master the foundation of computation with Theory of Automata (2025–2026 Edition) — your complete guide to automata, formal languages, and computability.