activity
20172022
most citedConvergence of a Scholtes-type Regularization Method for Cardinality-Constrained Optimization Problems with an Application in Sparse Robust Portfolio Optimization

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 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.OC2020

A Study of One-Parameter Regularization Methods for Mathematical Programs with Vanishing Constraints

Tim Hoheisel, Blanca Pablos, Aram-Alexandre Pooladian +2

Mathematical programs with vanishing constraints (MPVCs) are a class of nonlinear optimization problems with applications to various engineering problems such as truss topology des…

math.OC20171 cited

Second Order Optimality Conditions and Improved Convergence Results for a Scholtes-type Regularization for a Continuous Reformulation of Cardinality Constrained Optimization Problems

Max Bucher, Alexandra Schwartz

We consider nonlinear optimization problems with cardinality constraints. Based on a continuous reformulation we introduce second order necessary and sufficient optimality conditio…

math.OC20171 cited

Convergence of a Scholtes-type Regularization Method for Cardinality-Constrained Optimization Problems with an Application in Sparse Robust Portfolio Optimization

Martin Branda, Max Bucher, Michal Červinka +1

We consider general nonlinear programming problems with cardinality constraints. By relaxing the binary variables which appear in the natural mixed-integer programming formulation,…