A BFGS-SQP method for nonsmooth, nonconvex, constrained optimization and its evaluation using relative minimization profiles-Reference-Cited by-同舟云学术

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A BFGS-SQP method for nonsmooth, nonconvex, constrained optimization and its evaluation using relative minimization profiles

Published:2016-07-20 Issue:1 Volume:32 Page:148-181
ISSN:1055-6788
Container-title:Optimization Methods and Software
language:en
Short-container-title:Optimization Methods and Software

Author:

Curtis Frank E.¹^ORCID,Mitchell Tim²^ORCID,Overton Michael L.³^ORCID

Affiliation:

1. Department of Industrial and Systems Engineering, Lehigh University, 200 West Packer Avenue, Bethlehem, PA 18015, USA

2. Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg 39106, Germany

3. Courant Institute of Mathematical Sciences, New York University, 251 Mercer Street, New York, NY 10012, USA

Funder

National Science Foundation

Department of Energy

U.S. Department of Energy

Publisher

Informa UK Limited

Subject

Applied Mathematics,Control and Optimization,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/10556788.2016.1208749

Reference31 articles.

1. Influence of Tire Damping on Actively Controlled Quarter-Car Suspensions

2. Evaluating bound-constrained minimization software

3. Practical Augmented Lagrangian Methods for Constrained Optimization

4. Assessing the reliability of general-purpose Inexact Restoration methods

5. Calmness and Exact Penalization

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