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  A BFGS-SQP Method for Nonsmooth, Nonconvex, Constrained Optimization and its Evaluation using Relative Minimization Profiles

Curtis, F. E., Mitchell, T., & Overton, M. L. (2017). A BFGS-SQP Method for Nonsmooth, Nonconvex, Constrained Optimization and its Evaluation using Relative Minimization Profiles. Optimization Methods and Software, 32(1), 148-181. doi:10.1080/10556788.2016.1208749.

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© 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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 Creators:
Curtis, Frank E.1, Author
Mitchell, Tim2, Author              
Overton, Michael L.3, Author
Affiliations:
1Department of Industrial and Systems Engineering, Lehigh University, 200 West Packer Avenue, Bethlehem, PA 18015, USA, ou_persistent22              
2Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
3Courant Institute of Mathematical Sciences, New York University, 251 Mercer Street, New York, NY 10012, USA, ou_persistent22              

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 Dates: 2017
 Publication Status: Published in print
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 Rev. Type: Peer
 Identifiers: DOI: 10.1080/10556788.2016.1208749
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Title: Optimization Methods and Software
Source Genre: Journal
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Pages: - Volume / Issue: 32 (1) Sequence Number: - Start / End Page: 148 - 181 Identifier: -