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20182025
most citedAugmented Lagrangian Methods for the Solution of Generalized Nash Equilibrium Problems

56 citations · 122 across the 9 of their papers we have counts for

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math.FA2018

Brezis pseudomonotonicity is strictly weaker than Ky-Fan hemicontinuity

Daniel Steck

In 1968, H. Brezis introduced a notion of operator pseudomonotonicity which provides a unified approach to monotone and nonmonotone variational inequalities (VIs). A closely relate…

math.OC2018

Quasi-Variational Inequalities in Banach Spaces: Theory and Augmented Lagrangian Methods

Christian Kanzow, Daniel Steck

This paper deals with quasi-variational inequality problems (QVIs) in a generic Banach space setting. We provide a theoretical framework for the analysis of such problems which is…

math.OC2018★ 5 cited

Relaxation schemes for mathematical programs with switching constraints

Christian Kanzow, Patrick Mehlitz, Daniel Steck

Switching-constrained optimization problems form a difficult class of mathematical programs since their feasible set is almost disconnected while standard constraint qualifications…

math.OC2018★ 56 cited

Augmented Lagrangian Methods for the Solution of Generalized Nash Equilibrium Problems

Christian Kanzow, Daniel Steck

We propose an augmented Lagrangian-type algorithm for the solution of generalized Nash equilibrium problems (GNEPs). Specifically, we discuss the convergence properties with regard…

math.OC2018★ 47 cited

An Augmented Lagrangian Method for Optimization Problems in Banach Spaces

Christian Kanzow, Daniel Steck, Daniel Wachsmuth

We propose a variant of the classical augmented Lagrangian method for constrained optimization problems in Banach spaces. Our theoretical framework does not require any convexity o…

math.OC2018★ 13 cited

On Error Bounds and Multiplier Methods for Variational Problems in Banach Spaces

Christian Kanzow, Daniel Steck

This paper deals with a general form of variational problems in Banach spaces which encompasses variational inequalities as well as minimization problems. We prove a characterizati…