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We introduce new first-order necessary conditions for mathematical programs with complementarity constraints (MPCCs), which lie between strong and M-stationarity and have a relatively simple description. We show that they hold for local…

Optimization and Control · Mathematics 2021-09-06 Felix Harder

Mathematical programs with vanishing constraints (MPVCs) are a class of nonlinear optimization problems with applications to various engineering problems such as truss topology design and robot motion planning. MPVCs are difficult problems…

Optimization and Control · Mathematics 2020-06-30 Tim Hoheisel , Blanca Pablos , Aram-Alexandre Pooladian , Alexandra Schwartz , Luke Steverango

In this paper, the mathematical programs with vanishing constraints or MPVC are considered. We prove that an MPVC-tailored penalty function, introduced in [5], is still exact under a very weak and new constraint qualification. Most…

Optimization and Control · Mathematics 2018-06-11 Triloki Nath , Abeka Khare

In this paper, we are concerned with stationarity conditions and qualification conditions for optimization problems with disjunctive constraints. This class covers, among others, optimization problems with complementarity, vanishing, or…

Optimization and Control · Mathematics 2025-10-14 Isabella Käming , Patrick Mehlitz

In this paper, we give an overview on optimality conditions and exact penalization for the mathematical program with switching constraints (MPSC). MPSC is a new class of optimization problems which has some important applications. It is…

Optimization and Control · Mathematics 2021-03-23 Yan-Chao Liang , Jane J. Ye

Mathematical programs with disjunctive constraints (MPDCs for short) cover several different problem classes from nonlinear optimization including complementarity-, vanishing-, cardinality-, and switching-constrained optimization problems.…

Optimization and Control · Mathematics 2019-07-01 Patrick Mehlitz

Mathematical Programs with Vanishing Constraints (MPVCs) are a notoriously challenging class of problems owing to their lack of constraint qualification. Therefore, to tackle these problems, relaxation-based approaches are typically used.…

Optimization and Control · Mathematics 2026-03-02 Christoph Hansknecht , Julian Niederer , Andreas Potschka

We investigate a family of bilevel imaging learning problems where the lower-level instance corresponds to a convex variational model involving first- and second-order nonsmooth sparsity-based regularizers. By using geometric properties of…

Optimization and Control · Mathematics 2023-03-21 Juan Carlos De los Reyes

We consider optimization problems with a disjunctive structure of the constraints. Prominent examples of such problems are mathematical programs with equilibrium constraints or vanishing constraints. Based on the concepts of directional…

Optimization and Control · Mathematics 2016-11-28 Helmut Gfrerer

When dealing with general Lipschitzian optimization problems, there are many problem classes where even weak constraint qualifications fail at local minimizers. In contrast to a constraint qualification, a problem qualification does not…

Optimization and Control · Mathematics 2025-02-27 Isabella Käming , Andreas Fischer , Alain B. Zemkoho

It is known in the literature that local minimizers of mathematical programs with complementarity constraints (MPCCs) are so-called M-stationary points, if a weak MPCC-tailored Guignard constraint qualification (called MPCC-GCQ) holds. In…

Optimization and Control · Mathematics 2023-06-22 Felix Harder

The object of investigation in this paper are vector nonlinear programming problems with cone constraints. We introduce the notion of a Fritz John pseudoinvex cone-constrained vector problem. We prove that a problem with cone constraints is…

Optimization and Control · Mathematics 2014-08-26 Vsevolod I. Ivanov

We consider the Mathematical Program with Complementarity Constraints (MPCC). One of the main challenges in solving this problem is the systematic failure of standard Constraint Qualifications (CQs). Carefully accounting for the…

Optimization and Control · Mathematics 2025-08-12 Samuel Ward , Alain Zemkoho , Selin Ahipasaoglu

This paper is devoted to the study of the metric subregularity constraint qualification (MSCQ) for general optimization problems, with the emphasis on the nonconvex setting. We elaborate on notions of directional pseudo- and…

Optimization and Control · Mathematics 2020-10-26 Matúš Benko , Michal Červinka , Tim Hoheisel

In this paper we consider a sufficiently broad class of nonlinear mathematical programs with disjunctive constraints, which, e.g., include mathematical programs with complemetarity/vanishing constraints. We present an extension of the…

Optimization and Control · Mathematics 2016-11-28 Matúš Benko , Helmut Gfrerer

In this paper, we study a class of optimization problems, called Mathematical Programs with Cardinality Constraints (MPCaC). This kind of problem is generally difficult to deal with, because it involves a constraint that is not continuous…

Optimization and Control · Mathematics 2020-08-04 Evelin H. M. Krulikovski , Ademir A. Ribeiro , Mael Sachine

Constraint qualifications for a Mathematical Program with Equilibrium Constraints (MPEC) are essential for analyzing stationarity properties and establishing convergence results. In this paper, we explore several classical MPEC constraint…

Optimization and Control · Mathematics 2026-05-14 Jiani Li , Qingna Li , Alain Zemkoho

In this paper, we investigate second-order necessary conditions and exact penalty of mathematical programs with switching constraints (MPSC). Some new second-order constraint qualifications and second-order quasi-normality are introduced…

Optimization and Control · Mathematics 2024-07-29 Jiawei Chen , Luyu Liu , Yibing Lv , Kequan Zhao

In this paper, we study the mathematical program with equilibrium constraints (MPEC) formulated as a mathematical program with a parametric generalized equation involving the regular normal cone. We derive a new necessary optimality…

Optimization and Control · Mathematics 2019-06-25 Helmut Gfrerer , Jane J. Ye

This paper is devoted to establishing an enhanced Fritz John type first-order necessary condition for a general constrained nonlinear infinite-dimensional optimization problem. Unlike traditional constraint qualifications in optimization…

Optimization and Control · Mathematics 2024-09-13 Xu Liu , Qi Lü , Haisen Zhang , Xu Zhang
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