Skip to main content

Approximation through Randomization

  • Chapter
Complexity and Approximation

Abstract

RANDOMIZATION IS one of the most interesting and useful tools in designing efficient algorithms. Randomized algorithms, indeed, have been proposed for many problems arising in different areas: taking into account the scope of this book, however, we will limit ourselves to considering randomized approximation algorithms for Np-hard optimization problems.

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 59.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 119.00
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

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

© 1999 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Ausiello, G., Marchetti-Spaccamela, A., Crescenzi, P., Gambosi, G., Protasi, M., Kann, V. (1999). Approximation through Randomization. In: Complexity and Approximation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58412-1_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-58412-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63581-6

  • Online ISBN: 978-3-642-58412-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics