EconPapers    
Economics at your fingertips  
 

The semismooth Newton method for the solution of quasi-variational inequalities

Francisco Facchinei (), Christian Kanzow (), Sebastian Karl () and Simone Sagratella ()

Computational Optimization and Applications, 2015, vol. 62, issue 1, 85-109

Abstract: We consider the application of the globalized semismooth Newton method to the solution of (the KKT conditions of) quasi variational inequalities. We show that the method is globally and locally superlinearly convergent for some important classes of quasi variational inequality problems. We report numerical results to illustrate the practical behavior of the method. Copyright Springer Science+Business Media New York 2015

Keywords: Quasi-variational inequality; KKT conditions; Semismooth method; Global convergence; Superlinear convergence; 65K10; 90C30; 90C33 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://hdl.handle.net/10.1007/s10589-014-9686-4 (text/html)
Access to full text is restricted to subscribers.

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:coopap:v:62:y:2015:i:1:p:85-109

Ordering information: This journal article can be ordered from
http://www.springer.com/math/journal/10589

DOI: 10.1007/s10589-014-9686-4

Access Statistics for this article

Computational Optimization and Applications is currently edited by William W. Hager

More articles in Computational Optimization and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:coopap:v:62:y:2015:i:1:p:85-109