Skip to main content
  • 2413 Accesses

Abstract

Solving a mathematical problem will require calculations. Whether such calculations are performed manually or on a computer, we will be interested in the effort it will take to perform these calculations. Since the days of the abacus, the slide rule, and the mechanical calculating machine, our ability to handle vast amounts of calculations has developed to an extraordinary extent. However, at the same time, the need for ever more complex and large-scale computations has soared, at times outperforming the increase of computational capability. It is therefore interesting to study the science of how much calculation effort our numerical problems require. This is the topic of this chapter. The treatment in this chapter is based on material from Eiselt and Sandblom (2000). For an original and comprehensive treatment of computational complexity, readers are referred to the classical book by Garey and Johnson (1979).

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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.

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

(2007). Computational Complexity. In: Linear Programming and its Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73671-4_2

Download citation

Publish with us

Policies and ethics