Best
Computational Complexity
books of all time
(2024)

This book offers a thorough understanding of computational complexity, blending classical results with modern advancements. It’s ideal for those looking to grasp the challenges and intricacies of computational problems.

The book stands out for its clarity in explaining abstract concepts, making it an invaluable resource for those interested in the advanced aspects of computational complexity. It covers a broad spectrum of topics, providing insights into complexity classes, polynomial-time algorithms, and more.

Oded Goldreich's 'Computational Complexity: A Conceptual Perspective' provides a unique and in-depth look at computational complexity. Focusing on P-NP, proofs, zero-knowledge, and approximation, the book offers a thorough exploration of the conceptual and philosophical aspects of complexity theory.

Published in 2008, this work stands out for its emphasis on the broader conceptual understanding of computational complexity, rather than just the technical details. Goldreich's perspective is valuable for those who wish to gain a deeper understanding of the underlying principles and implications of complexity in computation.

Garey and Johnson's 'Computers and Intractability' is a seminal work in the field of computational complexity, particularly focused on the theory of NP-completeness. The book provides an extensive overview of intractable problems and the complexities involved in solving them.

Since its publication in 1979, this book has remained a fundamental resource for understanding NP-completeness. It's known for its clear presentation of algorithms and hard problems, making it an indispensable guide for students and researchers in the field of computational theory and algorithm design.