Skip to main content
  • 928 Accesses

Abstract

Computations with integers are at the core of a long-standing tradition in both computer science and number theory. A common feature is a measure of magnitude of an integer x given by the number of zeros and ones necessary to write the binary expansion of x (i.e.,\( \left\lceil {\log (|{\text{x}}| + 1)} \right\rceil \)). The relevant complexity measure is the bit cost. In the first section of this chapter, we show that machines over ℤ with bit cost and over ℤ2 with unit cost are polynomially equivalent. Thus, we refer to either setting as classical.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.00
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

© 1998 Springer Science+Business Media New York

About this chapter

Cite this chapter

Blum, L., Cucker, F., Shub, M., Smale, S. (1998). Integer Machines. In: Complexity and Real Computation. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0701-6_6

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-0701-6_6

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-6873-4

  • Online ISBN: 978-1-4612-0701-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics