Skip to main content

Global Optimization Algorithms Based on the Non-redundant Partitions

  • Chapter
  • First Online:
Deterministic Global Optimization

Part of the book series: SpringerBriefs in Optimization ((BRIEFSOPTI))

  • 985 Accesses

Abstract

Two new diagonal methods based on the efficient partition strategy are studied in this Chapter. Both of them use multiple estimates of the Lipschitz constant as done in the popular DIRECT method. The methods are thoroughly explained and illustrated in this final Chapter; their numerical comparison is reported; the application of an important practical signal processing problem is considered.

No matter how good you get, you can always get better and that’s the exciting part.

Tiger Woods

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 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 59.99
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

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yaroslav D. Sergeyev .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 The Author(s)

About this chapter

Cite this chapter

Sergeyev, Y.D., Kvasov, D.E. (2017). Global Optimization Algorithms Based on the Non-redundant Partitions . In: Deterministic Global Optimization. SpringerBriefs in Optimization. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7199-2_4

Download citation

Publish with us

Policies and ethics