Computational Complexity A Modern Approach Book


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Computational Complexity


Computational Complexity

Author: Sanjeev Arora

language: en

Publisher: Cambridge University Press

Release Date: 2009-04-20


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New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.

A Handbook of Theory of Computation


A Handbook of Theory of Computation

Author: N.B. Singh

language: en

Publisher: N.B. Singh

Release Date:


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"A Handbook of Theory of Computation" is a comprehensive guide designed for absolute beginners seeking to delve into the captivating world of theoretical computer science. Tailored to provide a gentle introduction to complex concepts, this book offers a curated collection of fundamental theories, principles, and formulas in automata theory, formal languages, complexity theory, and more. Through clear explanations and illustrative examples, readers will navigate topics such as finite automata, regular expressions, context-free grammars, Turing machines, and computational complexity with ease. With a focus on accessibility and practical relevance, this handbook equips readers with the foundational knowledge and tools necessary to understand and analyze computational systems, laying the groundwork for further exploration and discovery in the dynamic field of computer science.

Theory of Computation: A Formula Handbook


Theory of Computation: A Formula Handbook

Author: N.B. Singh

language: en

Publisher: N.B. Singh

Release Date:


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"Theory of Computation: A Formula Handbook" is a comprehensive yet succinct guide that distills the intricate principles of computational theory into clear and accessible formulas. Covering key topics such as automata theory, formal languages, computability, and complexity theory, this handbook equips students, researchers, and professionals with the essential tools for understanding and analyzing computational problems. Whether you're delving into the foundations of computer science or exploring advanced theoretical concepts, this book provides a valuable reference for navigating the diverse landscape of computational theory with ease and confidence.