An Augmented Lagrangian Method for Optimization Problems in Banach Spaces

We propose a variant of the classical augmented Lagrangian method for constrained optimization problems in Banach spaces. Our theoretical framework does not require any convexity or second-order assumptions and allows the treatment of inequality constraints with infinite-dimensional image space. Mor...

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Bibliographic Details

Published in:	arXiv.org
Main Authors:	Kanzow, Christian, Steck, Daniel, Wachsmuth, Daniel
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 12.07.2018
Subjects:	Algorithms Banach spaces Convexity Lagrange multiplier Nonlinear programming Optimization Viability
ISSN:	2331-8422
Online Access:	Get full text
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