activity
20182022
most citedEfficient Regularized Proximal Quasi-Newton Methods for Large-Scale Nonconvex Composite Optimization Problems

2 citations · 2 across the 2 of their papers we have counts for

collaborators

8 papers

math.OC2022

The Sparse(st) Optimization Problem: Reformulations, Optimality, Stationarity, and Numerical Results

Christian Kanzow, Alexandra Schwarz, Felix Weiß

We consider the sparse optimization problem with nonlinear constraints and an objective function, which is given by the sum of a general smooth mapping and an additional term defin…

math.OC20222 cited

Efficient Regularized Proximal Quasi-Newton Methods for Large-Scale Nonconvex Composite Optimization Problems

Christian Kanzow, Theresa Lechner

Optimization problems with composite functions consist of an objective function which is the sum of a smooth and a (convex) nonsmooth term. This particular structure is exploited b…

math.OC2019

New Constraint Qualifications for Optimization Problems in Banach Spaces based on Asymptotic KKT Conditions

Eike Börgens, Christian Kanzow, Patrick Mehlitz +1

Optimization theory in Banach spaces suffers from the lack of available constraint qualifications. Despite the fact that there exist only a very few constraint qualifications, they…

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

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

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…