Skip to main content

Randomized Algorithms

  • Chapter
Extremal Combinatorics

Part of the book series: Texts in Theoretical Computer Science. An EATCS Series ((TTCS))

  • 376 Accesses

Abstract

We have seen how coin flipping can help to design proofs. Randomness can also help to design quite efficient algorithms. In this chapter we will demonstrate the idea with several examples. Comprehensive guides to the state of the art of randomized algorithms are the books by Alon and Spencer (1992), and by Motwani and Raghavan (1995).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Jukna, S. (2001). Randomized Algorithms. In: Extremal Combinatorics. Texts in Theoretical Computer Science. An EATCS Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04650-0_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-04650-0_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-08559-8

  • Online ISBN: 978-3-662-04650-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics