Adaptive augmented Lagrangian methods: algorithms and practical numerical experience-Reference-Cited by-同舟云学术

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Adaptive augmented Lagrangian methods: algorithms and practical numerical experience

Published:2015-08-24 Issue:1 Volume:31 Page:157-186
ISSN:1055-6788
Container-title:Optimization Methods and Software
language:en
Short-container-title:Optimization Methods and Software

Author:

Curtis Frank E.,Gould Nicholas I.M.,Jiang Hao,Robinson Daniel P.

Funder

Advanced Scientific Computing Research

Division of Mathematical Sciences

Engineering and Physical Sciences Research Council

Publisher

Informa UK Limited

Subject

Applied Mathematics,Control and Optimization,Software

Link

http://www.tandfonline.com/doi/pdf/10.1080/10556788.2015.1071813

Reference38 articles.

1. Augmented Lagrangian methods under the constant positive linear dependence constraint qualification

2. Improving ultimate convergence of an augmented Lagrangian method

3. Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization

4. Practical Augmented Lagrangian Methods for Constrained Optimization

5. A. Bondarenko, D. Bortz, and J.J. Moré,COPS: Large-scale nonlinearly constrained optimization problems, Technical Report ANL/MCS-TM-237, Mathematics and Computer Science division, Argonne National Laboratory, Argonne, IL, 1998, revised October 1999.

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