Theory of computation textbooks

In summary, for a challenging course on computational theory, recommended textbooks include Introduction to the Theory of Computation by Michael Sipser, Introduction to Automata Theory, Languages, and Computation by John E. Hopcroft, Rajeev Motwani, and Jeffrey D. Ullman, Introduction to Formal Languages, Automata Theory, and Computation by Kishor S. Trivedi, Automata and Computability by Dexter C. Kozen, Fundamentals of Computer Science: Theory and Practice by J. Glenn Brookshear, Algorithms and Theory of Computation Handbook by Michael J. Atallah, Computation Theory: An Introduction by H.R. Lewis and C.H. Papadimitriou, and Handbook of
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I want to know what textbooks you would recommend to prepare for a very challenging course on computational theory that I'll be taking in the fall.

Brief description: The rigorous application of logic and proof techniques to Computer Science. Propositional and predicate logic; mathematical induction and other basic proof techniques; correctness proofs for iterative and recursive algorithms; recurrence equations and their solutions (including the “Master Theorem”); introduction to automata and formal languages.

I don't really have a strong background into computational theory. I'm only familiar with very basic complexity theory. But the course doesn't require any added prerequisites. Its just an accelerated introduction.
 
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1. Introduction to the Theory of Computation (3rd Edition) by Michael Sipser.
2. Introduction to Automata Theory, Languages, and Computation (3rd Edition) by John E. Hopcroft, Rajeev Motwani, and Jeffrey D. Ullman.
3. Introduction to Formal Languages, Automata Theory, and Computation (2nd Edition) by Kishor S. Trivedi.
4. Automata and Computability (2nd Edition) by Dexter C. Kozen.
5. Fundamentals of Computer Science: Theory and Practice by J. Glenn Brookshear.
6. Algorithms and Theory of Computation Handbook (2nd Edition) by Michael J. Atallah.
7. Computation Theory: An Introduction by H.R. Lewis and C.H. Papadimitriou.
8. Handbook of Theoretical Computer Science, Vol. A & B by Jan van Leeuwen.
 

1. What is the Theory of Computation?

The Theory of Computation is a branch of Computer Science that deals with the study of algorithms and their efficiency, and the ability of computers to solve problems. It explores the fundamental concepts and models of computation, including automata, formal languages, and computability.

2. Why is it important to study Theory of Computation?

Studying Theory of Computation is important because it provides a theoretical foundation for understanding and analyzing algorithms and their efficiency. It also helps in developing problem-solving skills and the ability to design efficient algorithms for various computational problems.

3. What are the key topics covered in Theory of Computation textbooks?

The key topics covered in Theory of Computation textbooks include automata theory, computability theory, and complexity theory. These topics cover concepts such as finite state machines, regular expressions, Turing machines, decidability, and NP-completeness.

4. How can I apply the concepts learned in Theory of Computation?

The concepts learned in Theory of Computation can be applied in various fields, including computer science, mathematics, and engineering. They are particularly useful in developing software and understanding the limits of what can be computed by a computer.

5. What are some recommended textbooks for studying Theory of Computation?

Some popular textbooks for studying Theory of Computation include "Introduction to the Theory of Computation" by Michael Sipser, "Theory of Computation" by Dexter C. Kozen, and "Automata and Computability" by Dexter C. Kozen. It is recommended to consult with your professor or academic advisor for specific textbook recommendations for your course.

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