On Lagrange multipliers of constrained optimization in Hilbert spaces

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autor principal: Tan, Zhiyu
Formato: Preprint
Publicado: 2023
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866911504800940032
author Tan, Zhiyu
author_facet Tan, Zhiyu
contents In this paper we introduce the essential Lagrange multiplier and establish the solid mathematical foundation of constrained optimization in Hilbert spaces with sharp results on the mathematical foundation of quadratic-programming based methods such as the SQP method, the necessary and sufficient conditions for the existence and uniqueness of Lagrange multipliers, the essential difference of the theory of Lagrange multipliers in finite and infinite-dimensional spaces and an essential characterization of the convergence of the classical augmented Lagrangian method. They are achieved by a newly developed decomposition framework for Lagrange multipliers of the Karush-Kuhn-Tucker system of constrained optimization problems in Hilbert spaces, which is totally different from the existing theories based on separation theorems.
format Preprint
id arxiv_https___arxiv_org_abs_2306_03261
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On Lagrange multipliers of constrained optimization in Hilbert spaces
Tan, Zhiyu
Optimization and Control
46N10, 49J27, 90C25, 90C46, 90C48
In this paper we introduce the essential Lagrange multiplier and establish the solid mathematical foundation of constrained optimization in Hilbert spaces with sharp results on the mathematical foundation of quadratic-programming based methods such as the SQP method, the necessary and sufficient conditions for the existence and uniqueness of Lagrange multipliers, the essential difference of the theory of Lagrange multipliers in finite and infinite-dimensional spaces and an essential characterization of the convergence of the classical augmented Lagrangian method. They are achieved by a newly developed decomposition framework for Lagrange multipliers of the Karush-Kuhn-Tucker system of constrained optimization problems in Hilbert spaces, which is totally different from the existing theories based on separation theorems.
title On Lagrange multipliers of constrained optimization in Hilbert spaces
topic Optimization and Control
46N10, 49J27, 90C25, 90C46, 90C48
url https://arxiv.org/abs/2306.03261