On the Use of Elliptic Regularity Theory for the Numerical Solution of Variational Problems
Axel Dreves (),
Joachim Gwinner () and
Nina Ovcharova ()
Additional contact information
Axel Dreves: Universität der Bundeswehr München
Joachim Gwinner: Universität der Bundeswehr München
Nina Ovcharova: Universität der Bundeswehr München
A chapter in Operations Research, Engineering, and Cyber Security, 2017, pp 231-257 from Springer
Abstract:
Abstract In this article we show the crucial role of elliptic regularity theory for the development of efficient numerical methods for the solution of some variational problems. Here we focus on a class of elliptic multiobjective optimal control problems that can be formulated as jointly convex generalized Nash equilibrium problems (GNEPs) and on nonsmooth boundary value problems that stem from contact mechanics leading to elliptic variational inequalities (VIs).
Keywords: Complementarity problem; Dual mixed formulation; Elliptic boundary value problem; Jointly convex generalized Nash equilibrium problem; Lagrange multiplier; Multiobjective optimal control; Normalized Nash equilibrium; Obstacle problem; Saddle point formulation; Signorini problem; Smooth domain; Unilateral contact; Variational inequality; 90C29; 90C33; 49J21; 49N60 (search for similar items in EconPapers)
Date: 2017
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:spochp:978-3-319-51500-7_11
Ordering information: This item can be ordered from
http://www.springer.com/9783319515007
DOI: 10.1007/978-3-319-51500-7_11
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().