Academic Problems
Adil Bagirov (),
Napsu Karmitsa () and
Marko M. Mäkelä ()
Additional contact information
Adil Bagirov: School of Information Technology and Mathematical Sciences, University of Ballarat
Napsu Karmitsa: University of Turku
Marko M. Mäkelä: University of Turku
Chapter Chapter 9 in Introduction to Nonsmooth Optimization, 2014, pp 247-285 from Springer
Abstract:
Abstract Many practical optimization problems involve nonsmooth functions. In this chapter, we give an extensive collection of problems for nonsmooth minimization which can be and have been used to test the nonsmooth optimization software. We use a classification of test problems such that it is easy to pick up those problems that share features in interest. That is, for instance, convexity or nonconvexity, or min-max, piecewise quadratic or general polynomial objective function structure, etc.
Keywords: Nonsmooth Minimization; Extensive Collection; Nonconvex; Nonsmooth Optimization; Inequality-constrained Problem (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-08114-4_9
Ordering information: This item can be ordered from
http://www.springer.com/9783319081144
DOI: 10.1007/978-3-319-08114-4_9
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().