Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1109/SFCS.1989.63449guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Dispersers, deterministic amplification, and weak random sources

Published: 30 October 1989 Publication History

Abstract

The use of highly expanding bipartite multigraphs (called dispersers) to reduce greatly the error of probabilistic algorithms at the cost of few additional random bits is treated. Explicit constructions of such graphs are generalized and used to obtain the following results: (1) The error probability of any RP (BPP) algorithm can be made exponentially small at the cost of only a constant factor increase in the number of random bits. (2) RP (BPP) algorithms with some weak bit fixing sources are simulated.

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Guide Proceedings
SFCS '89: Proceedings of the 30th Annual Symposium on Foundations of Computer Science
October 1989
586 pages
ISBN:0818619821

Publisher

IEEE Computer Society

United States

Publication History

Published: 30 October 1989

Author Tags

  1. BPP algorithm
  2. RP algorithm
  3. bipartite multigraphs
  4. deterministic amplification
  5. dispersers
  6. error probability
  7. probabilistic algorithms
  8. weak bit fixing sources
  9. weak random sources

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 03 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2020)Quadratic Simulations of Merlin–Arthur GamesACM Transactions on Computation Theory10.1145/338939912:2(1-11)Online publication date: 3-May-2020
  • (2014)Generalizing and derandomizing Gurvits's approximation algorithm for the permanentQuantum Information & Computation10.5555/2638682.263868314:7&8(541-559)Online publication date: 1-May-2014
  • (2011)A sample of samplersStudies in complexity and cryptography10.5555/2028116.2028142(302-332)Online publication date: 1-Jan-2011
  • (2010)Simulating independenceJournal of the ACM10.1145/1734213.173421457:4(1-52)Online publication date: 3-May-2010
  • (2009)Unbalanced expanders and randomness extractors from Parvaresh--Vardy codesJournal of the ACM10.1145/1538902.153890456:4(1-34)Online publication date: 2-Jul-2009
  • (2009)Probabilistically checkable proofsCommunications of the ACM10.1145/1467247.146726752:3(76-84)Online publication date: 1-Mar-2009
  • (2008)Increasing the Output Length of Zero-Error DispersersProceedings of the 11th international workshop, APPROX 2008, and 12th international workshop, RANDOM 2008 on Approximation, Randomization and Combinatorial Optimization: Algorithms and Techniques10.1007/978-3-540-85363-3_34(430-443)Online publication date: 25-Aug-2008
  • (2006)Deterministic extractors for small-space sourcesProceedings of the thirty-eighth annual ACM symposium on Theory of Computing10.1145/1132516.1132613(691-700)Online publication date: 21-May-2006
  • (2006)Linear degree extractors and the inapproximability of max clique and chromatic numberProceedings of the thirty-eighth annual ACM symposium on Theory of Computing10.1145/1132516.1132612(681-690)Online publication date: 21-May-2006
  • (2006)Extractors for a constant number of polynomially small min-entropy independent sourcesProceedings of the thirty-eighth annual ACM symposium on Theory of Computing10.1145/1132516.1132589(497-506)Online publication date: 21-May-2006
  • Show More Cited By

View Options

View options

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media