Carola Schrage

Set Optimization—A Rather Short Introduction

Recent developments in set optimization are surveyed and extended including various set relations as well as fundamental constructions of a convex analysis for set- and vector-valued functions, and duality for set optimization problems. Extensive sections with bibliographical comments summarize the state of the art. Applications to vector optimization and financial risk measures are discussed along with algorithmic approaches to set optimization problems.

Variational Inequalities Characterizing Weak Minimality in Set Optimization

We introduce the notion of weak minimizer in set optimization. Necessary and sufficient conditions in terms of scalarized variational inequalities of Stampacchia and Minty type, respectively, are proved. As an application, we obtain necessary and sufficient optimality conditions for weak efficiency of vector optimization in infinite-dimensional spaces. A Minty variational principle in this framework is proved as a corollary of our main result.

Set Optimization and Applications - The State of the Art

I. Surveys.- A comparison of techniques for dynamic mul-tivariate risk measures.- Nonlinear scalarization of set optimization problems with set orderings.- Set optimization - a rather short introduction.- A survey of set optimization problems with set solutions.- Linear vector optimization and European option pricing under proportional transaction costs.- II. Special topics.- Conditional analysis on Rd.- Set optimization meets variational inequalities.- Estimate of error bounds for some sets of efficient solutions of a set-valued optimization problem.- On supremal and maximal sets with respectto random partial orders.- Generalized minimality in set optimization.- On characterization of Nash equilibrium strategy in bimatrix games with set payos.