SemiAcademic 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 8 in Introduction to Nonsmooth Optimization, 2014, pp 241-245 from Springer
Abstract:
Abstract Using certain important methodologies for solving difficult smooth problems lead directly to the need to solve nonsmooth problems, which are either smaller in dimension or simpler in structure. The examples of this kind of methodological nonsmoothness are Lagrange relaxation, different decompositions, dual formulations, and exact penalty functions. In this chapter, we briefly describe some of these formulations. In addition, we represent the maximum eigenvalue problem that is an important part of many engineering design problems and graph theoretical applications. The interested reader may find more details of each problem class in the Notes and References at the end of Part II.
Keywords: Maximum Eigenvalue Problem; Exact Penalty Function; Graph Theoretic Applications; Lagrangian Relaxation; Important Methodology (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_8
Ordering information: This item can be ordered from
http://www.springer.com/9783319081144
DOI: 10.1007/978-3-319-08114-4_8
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 ().