A Set-Valued Lagrange Theorem based on a Process for Convex Vector Programming

Fuente: arXiv
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Main Authors: García-Castaño, Fernando, Padial, M. A. Melguizo
Format: Preprint
Published: 2024
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author García-Castaño, Fernando
Padial, M. A. Melguizo
author_facet García-Castaño, Fernando
Padial, M. A. Melguizo
contents In this paper, we present a new set-valued Lagrange multiplier theorem for constrained convex set-valued optimization problems. We introduce the novel concept of Lagrange process. This concept is a natural extension of the classical concept of Lagrange multiplier where the conventional notion of linear continuous operator is replaced by the concept of closed convex process, its set-valued analogue. The behaviour of this new Lagrange multiplier based on a process is shown to be particularly appropriate for some types of proper minimal points and, in general, when it has a bounded base.
format Preprint
id arxiv_https___arxiv_org_abs_2401_10161
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Set-Valued Lagrange Theorem based on a Process for Convex Vector Programming
García-Castaño, Fernando
Padial, M. A. Melguizo
Optimization and Control
90C29, 90C25, 90C31, 90C48
In this paper, we present a new set-valued Lagrange multiplier theorem for constrained convex set-valued optimization problems. We introduce the novel concept of Lagrange process. This concept is a natural extension of the classical concept of Lagrange multiplier where the conventional notion of linear continuous operator is replaced by the concept of closed convex process, its set-valued analogue. The behaviour of this new Lagrange multiplier based on a process is shown to be particularly appropriate for some types of proper minimal points and, in general, when it has a bounded base.
title A Set-Valued Lagrange Theorem based on a Process for Convex Vector Programming
topic Optimization and Control
90C29, 90C25, 90C31, 90C48
url https://arxiv.org/abs/2401.10161