Solving quasi-variational inequalities via their KKT conditions

成果类型:
Article
署名作者:
Facchinei, Francisco; Kanzow, Christian; Sagratella, Simone
署名单位:
Sapienza University Rome; University of Wurzburg
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-013-0637-0
发表日期:
2014
页码:
369-412
关键词:
formulation
摘要:
We propose to solve a general quasi-variational inequality by using its Karush-Kuhn-Tucker conditions. To this end we use a globally convergent algorithm based on a potential reduction approach. We establish global convergence results for many interesting instances of quasi-variational inequalities, vastly broadening the class of problems that can be solved with theoretical guarantees. Our numerical testings are very promising and show the practical viability of the approach.