Skip to main content

Part of the book series: Lectures in Mathematics ETH Zürich ((LM))

  • 915 Accesses

Abstract

We arrive at one of the most important applications of the Markov chain Monte Carlo method: the estimation of the volume of a convex body. For a convex body K in low dimensional Euclidean space, say two or three dimensions, it is not too difficult to estimate the volume of K within reasonable relative error using a direct Monte Carlo approach. Depending on how K is presented, it may even be possible to find the volume exactly without too much difficulty. In this chapter, therefore, we imagine the dimension n of the space to be large, and certainly greater than 3.

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 64.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight 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

© 2003 Birkhäuser Verlag, P.O. Box 133, CH-4010 Basel, Switzerland

About this chapter

Cite this chapter

Jerrum, M. (2003). Volume of a convex body. In: Counting, Sampling and Integrating: Algorithm and Complexity. Lectures in Mathematics ETH Zürich. Birkhäuser Basel. https://doi.org/10.1007/978-3-0348-8005-3_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-0348-8005-3_6

  • Published:

  • Publisher Name: Birkhäuser Basel

  • Print ISBN: 978-3-7643-6946-0

  • Online ISBN: 978-3-0348-8005-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics