ALESQP: An Augmented Lagrangian Equality-Constrained SQP Method for Optimization with General Constraints-Reference-Cited by-同舟云学术

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ALESQP: An Augmented Lagrangian Equality-Constrained SQP Method for Optimization with General Constraints

Published:2023-03-31 Issue:1 Volume:33 Page:237-266
ISSN:1052-6234
Container-title:SIAM Journal on Optimization
language:en
Short-container-title:SIAM J. Optim.

Author:

Antil Harbir¹^ORCID,Kouri Drew P.²^ORCID,Ridzal Denis²

Affiliation:

1. Department of Mathematical Sciences and Center for Mathematics and Artificial Intelligence CMAI, George Mason University, Fairfax, VA 22030 USA.

2. Optimization and Uncertainty Quantification, Sandia National Laboratories, Albuquerque, NM 87185 USA.

Funder

National Science Foundation

Air Force Office of Scientific Research

Sandia National Laboratories

National Technology & Engineering Solutions of Sandia

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Theoretical Computer Science,Software,Applied Mathematics

Reference47 articles.

1. On Augmented Lagrangian Methods with General Lower-Level Constraints

2. Convex Analysis and Monotone Operator Theory in Hilbert Spaces

3. Augmented Lagrangian method for distributed optimal control problems with state constraints

4. Augemented Lagrangian Techniques for Elliptic State Constrained Optimal Control Problems

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