Logo

Lecture Notes on Computational Complexity

Lecture Notes on Computational Complexity
by


Number of pages: 171

Description:
These are notes from a graduate courses on Computational Complexity offered at the University of California at Berkeley. The first 15 lectures cover fundamental material. The remaining lectures cover more advanced material - there are lectures on Hastad's optimal inapproximability results, lower bounds for parity in bounded depth-circuits, lower bounds in proof-complexity, and pseudorandom generators and extractors.

Download or read it online for free here:
Download link
(0.9MB, PDF)

Similar books

Book cover: Algorithms and ComplexityAlgorithms and Complexity
by - AK Peters, Ltd.
An introductory textbook on the design and analysis of algorithms. Recursive algorithms are illustrated by Quicksort, FFT, and fast matrix multiplications. Algorithms in number theory are discussed with some applications to public key encryption.
(22291 views)
Book cover: Communication Complexity (for Algorithm Designers)Communication Complexity (for Algorithm Designers)
by - Stanford University
The two biggest goals of the course are: 1. Learn several canonical problems that have proved the most useful for proving lower bounds; 2. Learn how to reduce lower bounds for fundamental algorithmic problems to communication complexity lower bounds.
(6837 views)
Book cover: Foundations of CryptographyFoundations of Cryptography
by - Cambridge University Press
The book gives the mathematical underpinnings for cryptography; this includes one-way functions, pseudorandom generators, and zero-knowledge proofs. Throughout, definitions are complete and detailed; proofs are rigorous and given in full.
(17678 views)
Book cover: Computability and Complexity from a Programming PerspectiveComputability and Complexity from a Programming Perspective
by - The MIT Press
The author builds a bridge between computability and complexity theory and other areas of computer science. Jones uses concepts familiar from programming languages to make computability and complexity more accessible to computer scientists.
(12693 views)