Automata Theory, Languages, and Introduction to Computation

Author: John E Hopcroft
Publisher:
Publication Date: 2004-06-01
Features: Renowned authors John Hopcroft and Jeffrey Ullman have once again collaborated on this classic text, updating it more than 30 years after its first edition. The authors continue to introduce formal language, automata theory, and computational complexity theory to readers in a concise and direct manner. This book is used as a textbook or recommended reference by many famous universities worldwide for computational theory courses. It is also suitable as a textbook for senior undergraduate and graduate students in computer science.
Features of the Book:
- Less formal content, making it easier for undergraduates to understand.
- Emphasis on modern applications of the theory.
- Use of numerous diagrams to clarify concepts.
- Additional details and intuitive explanations in definitions and proofs.
- Special text boxes providing supplementary material that may be useful to readers.
- A wide range of exercises with varying difficulty levels to challenge readers.
- Graphic notations for PDAs and Turing machines.
- Each chapter includes numerous examples and exercises to help readers confirm and deepen their understanding of the content.
This book is a classic in the field of formal language, automata theory, and computational complexity. It covers topics such as finite automata, regular expressions and languages, properties of regular languages, context-free grammars and languages, pushdown automata, properties of context-free languages, Turing machines, undecidability, and computationally hard problems. The book uses many details and intuitive explanations in definitions and proofs, employs diagrams to clarify concepts, and includes a large number of examples and exercises with varying difficulty levels to help readers confirm and deepen their understanding. It is suitable as a textbook and teaching reference for computational theory courses for senior undergraduate and graduate students in computer science.