Skip to main content

Part of the book series: Natural Computing Series ((NCS))

  • 365 Accesses

Abstract

Modern optimization methods of optimization originated in the seventeenth century with the discovery of the calculus. Until the advent of the digital computer, however, analytic solutions and fast-converging iterative methods were the only practical means of performing optimization. The introduction and proliferation of computing technologies widened both the scope and the number of optimization problems.

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

© 2020 Springer-Verlag GmbH Germany, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Lockett, A.J. (2020). Review of Optimization Methods. In: General-Purpose Optimization Through Information Maximization. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-62007-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-62007-6_2

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-62006-9

  • Online ISBN: 978-3-662-62007-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics