Introduction

Adil M. Bagirov (), Manlio Gaudioso (), Napsu Karmitsa (), Marko M. Mäkelä () and Sona Taheri ()
Additional contact information
Adil M. Bagirov: Federation University, School of Science, Engineering and Information Technology
Manlio Gaudioso: Modellistica, Elettronica e Sistemistica, Università della Calabria, Dipartimento di Ingegneria Informatica
Napsu Karmitsa: Department of Mathematics and Statistics, University of Turku
Marko M. Mäkelä: Department of Mathematics and Statistics, University of Turku
Sona Taheri: Federation University, School of Science, Engineering and Information Technology

Chapter Chapter 1 in Numerical Nonsmooth Optimization, 2020, pp 1-16 from Springer

Abstract: Abstract Nonsmooth optimization (NSO) is among the most challenging tasks in the field of mathematical programming. It addresses optimization problems where objective and/or constraint functions have discontinuous gradients. NSO problems arise in many real life applications. Moreover, some smooth optimization techniques like different decomposition methods, dual formulations and exact penalty methods may lead us to solve NSO problems being either smaller in dimension or simpler in structure. In addition, some optimization problems may be analytically smooth but numerically nonsmooth. This is the case, for instance, with noisy input data and so-called stiff problems, which are numerically unstable and behave like nonsmooth problems.

Date: 2020
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:978-3-030-34910-3_1

Ordering information: This item can be ordered from
http://www.springer.com/9783030349103

DOI: 10.1007/978-3-030-34910-3_1

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 ().