activity
20162024
most citedOn implicit variables in optimization theory

11 citations · 30 across the 10 of their papers we have counts for

collaborators

12 papers

math.OC2024

On the directional asymptotic approach in optimization theory

Matúš Benko, Patrick Mehlitz

As a starting point of our research, we show that, for a fixed order , each local minimizer of a rather general nonsmooth optimization problem in Euclidean spaces is eithe…

math.OC2023

Primal-Dual Stability in Local Optimality

Matus Benko, R. Tyrrell Rockafellar

Much is known about when a locally optimal solution depends in a single-valued Lipschitz continuous way on the problem's parameters, including tilt perturbations. Much less is know…

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

Second-order optimality conditions for general nonconvex optimization problems and variational analysis of disjunctive systems

Matus Benko, Helmut Gfrerer, Jane Ye +2

In this paper, we propose second-order sufficient optimality conditions for a very general nonconvex constrained optimization problem, which covers many prominent mathematical prog…

math.OC2020★ 11 cited

On implicit variables in optimization theory

Matúš Benko, Patrick Mehlitz

Implicit variables of a mathematical program are variables which do not need to be optimized but are used to model feasibility conditions. They frequently appear in several differe…

math.OC2020

Calmness and Calculus: Two Basic Patterns

Matúš Benko, Patrick Mehlitz

We establish two types of estimates for generalized derivatives of set-valued mappings which carry the essence of two basic patterns observed troughout the pile of calculus rules.…