Skip to main content

2. Algorithms for Numbers and Their Complexity

  • Chapter
Primality Testing in Polynomial Time

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3000))

  • 1172 Accesses

Abstract

The notion of an algorithm is basic in computer science. Usually, one says that an algorithm is a finite piece of text that describes in an unambiguous way which elementary computational steps are to be performed on any given input, and in which way the result should be read off after the computation has ended. In the theory of algorithms and in computational complexity theory, one traditionally formalizes the notion of an algorithm as a program for a particular theoretical machine model, the Turing machine.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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.

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Dietzfelbinger, M. (2004). 2. Algorithms for Numbers and Their Complexity. In: Primality Testing in Polynomial Time. Lecture Notes in Computer Science, vol 3000. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25933-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-25933-6_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40344-9

  • Online ISBN: 978-3-540-25933-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics