Skip to main content

Polynomial Space

  • Chapter
Descriptive Complexity

Part of the book series: Graduate Texts in Computer Science ((TCS))

  • 665 Accesses

Abstract

Polynomial Space is the largest complexity class studied in this book. It consists of what we could compute with a feasible amount of hardware, but with no time limit. PSPACE has several apparently quite different descriptive characterizations.

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 79.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 129.99
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

© 1999 Springer Science+Business Media New York

About this chapter

Cite this chapter

Immerman, N. (1999). Polynomial Space. In: Descriptive Complexity. Graduate Texts in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0539-5_11

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-0539-5_11

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-6809-3

  • Online ISBN: 978-1-4612-0539-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics