**Communication Complexity (for Algorithm Designers)**

by Tim Roughgarden

**Publisher**: Stanford University 2015**Number of pages**: 150

**Description**:

Communication complexity offers a clean theory that is extremely useful for proving lower bounds for lots of different fundamental problems. 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.

Download or read it online for free here:

**Download link**

(2.8MB, PDF)

Download mirrors:**Mirror 1**

## Similar books

**Computability and Complexity from a Programming Perspective**

by

**Neil D. Jones**-

**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.

(

**10930**views)

**Foundations of Cryptography**

by

**Oded Goldreich**-

**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.

(

**15711**views)

**Algorithmic Randomness and Complexity**

by

**R. G. Downey, D. R. Hirschfeldt**-

**Springer**

Computability and complexity theory are two central areas of research in theoretical computer science. This book provides a systematic, technical development of algorithmic randomness and complexity for scientists from diverse fields.

(

**9350**views)

**Measure-Preserving Systems**

by

**Karl Petersen**-

**University of North Carolina**

These notes provide an introduction to the subject of measure-preserving dynamical systems, discussing the dynamical viewpoint; how and from where measure-preserving systems arise; the construction of measures and invariant measures; etc.

(

**10034**views)