A best-response approach for equilibrium selection in two-player generalized Nash equilibrium problems. (2nd December 2019)
- Record Type:
- Journal Article
- Title:
- A best-response approach for equilibrium selection in two-player generalized Nash equilibrium problems. (2nd December 2019)
- Main Title:
- A best-response approach for equilibrium selection in two-player generalized Nash equilibrium problems
- Authors:
- Dreves, Axel
- Abstract:
- ABSTRACT: In this paper, we propose a best-response approach to select an equilibrium in a two-player generalized Nash equilibrium problem. In our model we solve, at each of a finite number of time steps, two independent optimization problems. We prove that convergence of our Jacobi-type method, for the number of time steps going to infinity, implies the selection of the same equilibrium as in a recently introduced continuous equilibrium selection theory. Thus the presented approach is a different motivation for the existing equilibrium selection theory, and it can also be seen as a numerical method. We show convergence of our numerical scheme for some special cases of generalized Nash equilibrium problems with linear constraints and linear or quadratic cost functions.
- Is Part Of:
- Optimization. Volume 68:Number 12(2019)
- Journal:
- Optimization
- Issue:
- Volume 68:Number 12(2019)
- Issue Display:
- Volume 68, Issue 12 (2019)
- Year:
- 2019
- Volume:
- 68
- Issue:
- 12
- Issue Sort Value:
- 2019-0068-0012-0000
- Page Start:
- 2269
- Page End:
- 2295
- Publication Date:
- 2019-12-02
- Subjects:
- Generalized Nash equilibrium problem -- Jacobi-type method -- equilibrium selection -- discrete approach
49M25 -- 91A05 -- 91A10 -- 91A40
Mathematical optimization -- Periodicals
519.7 - Journal URLs:
- http://www.tandfonline.com/toc/gopt20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/02331934.2019.1646743 ↗
- Languages:
- English
- ISSNs:
- 0233-1934
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6275.100000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16293.xml