Using Hard Problems to Create Pseudorandom Generators

Noam Nisan (u. a.)

ISBN 10: 026264052X / ISBN 13: 9780262640527

Published by MIT Press, 2003

About this Item

Using Hard Problems to Create Pseudorandom Generators | Noam Nisan (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2003 | MIT Press | EAN 9780262640527 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 120963651

Bibliographic Details

• Title: Using Hard Problems to Create Pseudorandom Generators
• Publisher: MIT Press
• Publication Date: 2003
• Language: English
• ISBN 10: 026264052X
• ISBN 13: 9780262640527
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 280W x 216H x 4D millimeters 280 millimeters width by 216 millimeters height by 4 millimeters depth
• Weight: 169 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Randomization is an important tool in the design of algorithms, and the ability of randomization to provide enhanced power is a major research topic in complexity theory. Noam Nisan continues the investigation into the power of randomization and the relationships between randomized and deterministic complexity classes by pursuing the idea of emulating randomness, or pseudorandom generation. Pseudorandom generators reduce the number of random bits required by randomized algorithms, enable the construction of certain cryptographic protocols, and shed light on the difficulty of simulating randomized algorithms by deterministic ones. The research described here deals with two methods of constructing pseudorandom generators from hard problems and demonstrates some surprising connections between pseudorandom generators and seemingly unrelated topics such as multiparty communication complexity and random oracles. Nisan first establishes a precise connection between computational complexity and pseudorandom number generation, revealing that efficient deterministic simulation of randomized algorithms is possible under much weaker assumptions than was previously known, and bringing to light new consequences concerning the power of random oracles. Using a remarkable argument based on multiparty communication complexity, Nisan then constructs a generator that is good against all tests computable in logarithmic space. A consequence of this result is a new construction of universal traversal sequences.

Contents
Introduction - Hardness vs. Randomness - Pseudorandom Generators for Logspace and Multiparty Protocols

About the Author

Noam Nisan is Dean of the School of Computer Science and Engineering at the Hebrew University of Jerusalem.