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Consider a polynomial optimization problem. Adding polynomial equations generated by the Fritz John conditions to the constraint set does not change the optimal value. As proved in [arXiv:2205.04254 (2022)], the objective polynomial has…

Optimization and Control · Mathematics 2022-11-15 Ngoc Hoang Anh Mai

We consider the modified Monge-Kantorovich problem with additional restriction: admissible transport plans must vanish on some fixed functional subspace. Different choice of the subspace leads to different additional properties optimal…

Functional Analysis · Mathematics 2014-04-22 Danila Zaev

We present necessary and sufficient optimality conditions for finite time optimal control problems for a class of hybrid systems described by linear complementarity models. Although these optimal control problems are difficult in general…

Optimization and Control · Mathematics 2016-10-11 Andreas B. Hempel , Paul Goulart , John Lygeros

We generalize the successive continuation paradigm introduced by Kern\'evez and Doedel [16] for locating locally optimal solutions of constrained optimization problems to the case of simultaneous equality and inequality constraints. The…

Optimization and Control · Mathematics 2020-04-27 Mingwu Li , Harry Dankowicz

This paper pursues a two-fold goal. Firstly, we aim to derive novel second-order characterizations of important robust stability properties of perturbed Karush-Kuhn-Tucker systems for a broadclass of constrained optimization problems…

Optimization and Control · Mathematics 2020-04-15 Ashkan Mohammadi , Boris Mordukhovich , Ebrahim Sarabi

This paper focuses on second-order necessary optimality conditions for constrained optimization problems on Banach spaces. For problems in the classical setting, where the objective function is $C^2$-smooth, we show that strengthened…

Optimization and Control · Mathematics 2020-07-30 Duong Thi Viet An , Nguyen Dong Yen

Constrained optimization problems exist in many domains of science, such as thermodynamics, mechanics, economics, etc. These problems are classically solved with the help of the Lagrange multipliers and the Lagrangian function. However, the…

Optimization and Control · Mathematics 2021-01-12 Cyril Cayron

We optimize the running time of the primal-dual algorithms by optimizing their stopping criteria for solving convex optimization problems under affine equality constraints, which means terminating the algorithm earlier with fewer…

Optimization and Control · Mathematics 2024-03-20 Iyad Walwil , Olivier Fercoq

Given a non-convex optimization problem, we study conditions under which every Karush-Kuhn-Tucker (KKT) point is a global optimizer. This property is known as KT-invexity and allows to identify the subset of problems where an interior point…

Optimization and Control · Mathematics 2017-07-07 Ksenia Bestuzheva , Hassan Hijazi

We obtain Euler-Lagrange and transversality optimality conditions for higher-order infinite horizon variational problems on a time scale. The new necessary optimality conditions improve the classical results both in the continuous and…

Optimization and Control · Mathematics 2012-11-13 Natalia Martins , Delfim F. M. Torres

This paper explores some sufficient conditions for the enhanced solvability of strong vector equilibrium problems, which can be established via a variational approach. Enhanced solvability here means existence of solutions, which are strong…

Optimization and Control · Mathematics 2022-05-11 Amos Uderzo

We show that necessary and sufficient conditions of optimality in periodic optimization problems can be stated in terms of a solution of the corresponding HJB inequality, the latter being equivalent to a max-min type variational problem…

Optimization and Control · Mathematics 2013-09-10 Vladimir Gaitsgory , Ludmila Manic

Most existing work focuses on the generalization of KKT for nonsmooth convex optimization problems, but this paper explores a generalized form of Karush-Kuhn-Tucker (KKT) conditions for real continuous optimization problems.

Optimization and Control · Mathematics 2020-04-09 Stanley Yang

We consider an optimization problem subject to an abstract constraint and finitely many nonlinear constraints. Using the recently introduced concept of $n$-polyhedricity, we are able to provide second-order optimality conditions under weak…

Optimization and Control · Mathematics 2019-02-22 Gerd Wachsmuth

There are several concepts and definitions that characterize and give optimality conditions for solutions of a vector optimization problem. One of the most important is the first-order necessary optimality condition that generalizes the…

Optimization and Control · Mathematics 2017-11-09 Washington A. Oliveira , Marko A. Rojas Medar , A. Beato Moreno , M. B. Hernández Jiménez

Variational problems under uniform quasiconvex constraints on the gradient are studied. In particular, existence of solutions to such problems is proved as well as existence of lagrange multipliers associated to the uniform constraint. They…

Optimization and Control · Mathematics 2014-05-30 Felipe Alvarez , Salvador Flores

We systematically introduce an approach to the analysis and (numerical) solution of a broad class of nonlinear unconstrained optimal control problems, involving ordinary and distributed systems. Our approach relies on exact representations…

Optimization and Control · Mathematics 2025-02-04 Nikolay Pogodaev , Maxim Staritsyn

A class of optimal control problems governed by semilinear parabolic equations with mixed constraints and a box constraint for control variable is considered. We show that if the separation condition is satisfied, then both optimality…

Optimization and Control · Mathematics 2023-09-06 Huynh Khanh , Bui Trong Kien

In this manuscript, we consider a control system governed by a general ordinary differential equation on a Riemannian manifold, with its endpoints satisfying some inequalities and equalities, and its control constrained to a closed convex…

Optimization and Control · Mathematics 2020-11-06 Li Deng

In this article, we derive first-order necessary optimality conditions for a constrained optimal control problem formulated in the Wasserstein space of probability measures. To this end, we introduce a new notion of localised metric…

Optimization and Control · Mathematics 2021-04-28 Benoît Bonnet , Hélène Frankowska