Title
A nonmonotone trust-region method for generalized Nash equilibrium and related problems with strong convergence properties.
Abstract
The generalized Nash equilibrium problem (GNEP) is often difficult to solve by Newton-type methods since the problem tends to have locally nonunique solutions. Here we take an existing trust-region method which is known to be locally fast convergent under a relatively mild error bound condition, and modify this method by a nonmonotone strategy in order to obtain a more reliable and efficient solver. The nonmonotone trust-region method inherits the nice local convergence properties of its monotone counterpart and is also shown to have the same global convergence properties. Numerical results indicate that the nonmonotone trust-region method is significantly better than the monotone version, and is at least competitive to an existing software applied to the same reformulation used within our trust-region framework. Additional tests on quasi-variational inequalities (QVI) are also presented to validate efficiency of the proposed extension.
Year
DOI
Venue
2018
https://doi.org/10.1007/s10589-017-9960-3
Comp. Opt. and Appl.
Keywords
Field
DocType
Generalized Nash equilibrium problem,Trust-region algorithm,Nonmonotone strategy,Global convergence,Local superlinear convergence,Quasi-variational inequalities
Convergence (routing),Trust region,Mathematical optimization,Generalized nash equilibrium,Software,Local convergence,Solver,Mathematics,Monotone polygon
Journal
Volume
Issue
ISSN
69
3
0926-6003
Citations 
PageRank 
References 
0
0.34
12
Authors
3
Name
Order
Citations
PageRank
Leonardo Galli100.34
Christian Kanzow21532123.19
M. Sciandrone333529.01