Arora and Barak — Computational Complexity: A Modern Approach
The standard graduate text.
The standard graduate text.
Complements Arora-Barak with a more conceptual treatment.
Older but still a solid reference for NP-completeness and space complexity.
Broad view of TCS and its connections to mathematics.
Connects bounded arithmetic and propositional proof complexity via two-sorted logic.
The standard undergraduate introduction to automata, computability, and complexity.
The classical reference on formal languages and automata.
The standard reference for classical computability theory and degree structures.
Survey of average-case complexity and its connections to cryptography and derandomization.
The standard reference on Kolmogorov complexity and algorithmic information theory.
Logical characterizations of complexity classes via finite model theory.
The main reference for proof complexity.
More advanced; connects model theory and forcing to proof complexity.
Good coverage of circuit complexity and space complexity at the graduate level.
Thorough treatment of circuit complexity and lower bounds.
The standard reference for Fourier analysis on the Boolean cube.
Covers machine models, circuits, and complexity from first principles.
The classical text on randomized algorithms.
More accessible than Motwani-Raghavan; good first text on randomized algorithms.
Comprehensive treatment of pseudorandomness, expanders, and derandomization.
Monograph on pairwise independence and its applications to derandomization.
Standard graduate text on approximation algorithms.
Collected chapters on approximation and inapproximability.
Modern graduate text on approximation algorithms.
The standard algorithms reference.
Game theory and mechanism design from a TCS perspective.
Modern treatment of communication complexity.
The original graduate text on communication complexity; still widely used.
Rigorous and widely used graduate introduction.
Thorough theoretical treatment.
Modern and comprehensive; covers both theory and practice.
Concise graduate-level lecture notes with a rigorous definitional style.
Rigorous graduate introduction to algebraic coding theory.
Modern treatment oriented toward TCS; covers list decoding and connections to complexity.
The definitive reference on the probabilistic method.
Combinatorial tools used throughout TCS.
Mathematical foundations for computer science.
The standard graduate reference on graph theory.
The standard survey on expander graphs.
Standard introductory text on first-order logic and model theory.
Rigorous introduction to axiomatic set theory.
Classical graduate text; strong on proof theory and recursion theory.
Standard graduate introduction to model theory; useful for finite model theory connections.
The standard reference for finite model theory; closely connected to descriptive complexity.
The standard textbook.
More informal and broader in scope; good complement to Nielsen-Chuang.
Rigorous treatment of quantum Shannon theory; second edition freely available.
Graduate-level notes on complexity and foundations.
Notes on complexity, cryptography, and foundations.
Graduate complexity course notes; broad and philosophically oriented.
Concise notes covering the standard complexity curriculum.
Broad undergraduate introduction to TCS; accessible and wide-ranging.
Mathematical tools for TCS.
Full lecture series to accompany the book.
Graduate course notes on algebraic and combinatorial coding theory.
Lecture notes on algebraic algorithms: FFT, polynomial identity testing, and coding.
Early version of what became the Guruswami-Rudra-Sudan text; freely available.
Lecture notes on pseudorandomness, extractors, and derandomization.
A widely used online introduction to modern cryptography.
Covers techniques and results in program obfuscation.
Cryptography in the quantum setting.
Lecture notes on quantum information theory.
Lecture and seminar series covering spectral graph theory, high-dimensional expansion, constructions, and applications to codes and PCPs.
A graduate course covering combinatorial, topological, and group-theoretic notions of high-dimensional expansion, together with applications to coding and complexity.
Preprints in computational complexity.
General preprint server for TCS and cryptography.
Preprints in cryptography.
Q&A for TCS researchers and students.
Q&A for cryptography.
Catalogue of complexity classes.
Bibliography database for CS.
Diamond open-access TCS journal.
Open-access conference proceedings in informatics.
Scott Aaronson on quantum computing and complexity theory.
Dick Lipton and Ken Regan on complexity theory.
Boaz Barak on complexity, cryptography, and ML theory.
Lance Fortnow and Bill Gasarch on complexity theory.
Luca Trevisan on complexity, pseudorandomness, and combinatorics.
Goldreich's curated reading list.
Aggregates posts from TCS blogs.
Online seminar series with recorded talks.
Recorded workshops and talks from the Simons Institute.
ACM Special Interest Group on Algorithms and Computation Theory.
International Association for Cryptologic Research.