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20182026
most citedConstrained composite optimization and augmented Lagrangian methods

30 citations · 92 across the 38 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

math.OC2022

Inverse demand tracking in transportation networks

Simone Göttlich, Patrick Mehlitz, Thomas Schillinger

This paper deals with the reconstruction of the desired demand in an optimal control problem, stated over a tree-shaped transportation network which is governed by a linear hyperbo…

math.OC2022

A simple proof of second-order sufficient optimality conditions in nonlinear semidefinite optimization

Patrick Mehlitz

In this note, we present an elementary proof for a well-known second-order sufficient optimality condition in nonlinear semidefinite optimization which does not rely on the enhance…

math.OC2022★ 3 cited

Why second-order sufficient conditions are, in a way, easy -- or -- revisiting calculus for second subderivatives

Matúš Benko, Patrick Mehlitz

In this paper, we readdress the classical topic of second-order sufficient optimality conditions for optimization problems with nonsmooth structure. Based on the so-called second s…

math.OC2022

On the directional asymptotic approach in optimization theory Part B: constraint qualifications

Matúš Benko, Patrick Mehlitz

During the last years, asymptotic (or sequential) constraint qualifications, which postulate upper semicontinuity of certain set-valued mappings and provide a natural companion of…

math.OC2022

On the directional asymptotic approach in optimization theory Part A: approximate, M-, and mixed-order stationarity

Matúš Benko, Patrick Mehlitz

We show that, for a fixed order , each local minimizer of a rather general nonsmooth optimization problem in Euclidean spaces is either M-stationary in the classical sense…

math.OC2022★ 30 cited

Constrained composite optimization and augmented Lagrangian methods

Alberto De Marchi, Xiaoxi Jia, Christian Kanzow +1

We investigate finite-dimensional constrained structured optimization problems, featuring composite objective functions and set-membership constraints. Offering an expressive yet s…