Quasi-Variational Inequalities:
Theory, Algorithms, and Applications
September 23 - 25, 2019
Quasi-variational inequalities (QVIs) form a notoriously difficult class of problems which differ from standard variational inequalities since its feasible set also depends on the decision variable. Besides this fact, the QVI has become a standard tool for the modeling of various equilibrium-type scenarios in the natural sciences and includes, in particular, the generalized Nash equilibrium problem (GNEP). QVIs therefore have a wide range of applications in game theory, continuum mechanics, economics, transportation etc.
The fall school brings together three leading experts from the area of QVIs and GNEPs. They will give an up-to-date survey covering, in particular, topics like existence results, practical solution methods, and applications, both in finite and infinite dimensions.
