An Augmented Lagrangian Method for Optimization Problems in Banach Spaces
Optimization and Control
2018-07-13 v1
Abstract
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. Moreover, we discuss the convergence properties of our algorithm with regard to feasibility, global optimality, and KKT conditions. Some numerical results are given to illustrate the practical viability of the method.
Cite
@article{arxiv.1807.04467,
title = {An Augmented Lagrangian Method for Optimization Problems in Banach Spaces},
author = {Christian Kanzow and Daniel Steck and Daniel Wachsmuth},
journal= {arXiv preprint arXiv:1807.04467},
year = {2018}
}
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23 pages