Skip to main content

Part of the book series: Applied Optimization ((APOP,volume 10))

  • 297 Accesses

Abstract

In the previous chapters, we have shown that in general, interval computations are NP-hard. This means, crudely speaking, that every algorithm that solves the interval computation problems requires, in some instances, unrealistic exponential time. Thus, the worst-case computational complexity of the problem is large. A natural question is: is this problem easy “ on average” (i.e., are complex instances rare), or is this problem difficult “ on average” too?

In this chapter, we show that “ on average”, the basic problem of interval computations is easy. To be (somewhat) more precise, we show that if input intervals are narrow enough, then interval computations are almost always easy.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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

© 1998 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Kreinovich, V., Lakeyev, A., Rohn, J., Kahl, P. (1998). If Input Intervals are Narrow Enough, Then Interval Computations are Almost Always Easy. In: Computational Complexity and Feasibility of Data Processing and Interval Computations. Applied Optimization, vol 10. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2793-7_16

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-2793-7_16

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-4785-7

  • Online ISBN: 978-1-4757-2793-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics