A Semismooth Newton-CG Augmented Lagrangian Method for Large Scale Linear and Convex Quadratic SDPS
Ph.D
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2010
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sg-nus-scholar.10635-163652015-01-06T19:10:28Z A Semismooth Newton-CG Augmented Lagrangian Method for Large Scale Linear and Convex Quadratic SDPS ZHAO XINYUAN MATHEMATICS TOH KIM CHUAN SUN DEFENG Convex quadratic semidefinite programming, Augmented Lagrangian, Semismoothness, Newton's method Ph.D DOCTOR OF PHILOSOPHY 2010-04-08T11:04:00Z 2010-04-08T11:04:00Z 2009-11-25 Thesis ZHAO XINYUAN (2009-11-25). A Semismooth Newton-CG Augmented Lagrangian Method for Large Scale Linear and Convex Quadratic SDPS. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/16365 NOT_IN_WOS en |
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National University of Singapore |
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NUS Library |
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Singapore |
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ScholarBank@NUS |
language |
English |
topic |
Convex quadratic semidefinite programming, Augmented Lagrangian, Semismoothness, Newton's method |
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Convex quadratic semidefinite programming, Augmented Lagrangian, Semismoothness, Newton's method ZHAO XINYUAN A Semismooth Newton-CG Augmented Lagrangian Method for Large Scale Linear and Convex Quadratic SDPS |
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Ph.D |
author2 |
MATHEMATICS |
author_facet |
MATHEMATICS ZHAO XINYUAN |
format |
Theses and Dissertations |
author |
ZHAO XINYUAN |
author_sort |
ZHAO XINYUAN |
title |
A Semismooth Newton-CG Augmented Lagrangian Method for Large Scale Linear and Convex Quadratic SDPS |
title_short |
A Semismooth Newton-CG Augmented Lagrangian Method for Large Scale Linear and Convex Quadratic SDPS |
title_full |
A Semismooth Newton-CG Augmented Lagrangian Method for Large Scale Linear and Convex Quadratic SDPS |
title_fullStr |
A Semismooth Newton-CG Augmented Lagrangian Method for Large Scale Linear and Convex Quadratic SDPS |
title_full_unstemmed |
A Semismooth Newton-CG Augmented Lagrangian Method for Large Scale Linear and Convex Quadratic SDPS |
title_sort |
semismooth newton-cg augmented lagrangian method for large scale linear and convex quadratic sdps |
publishDate |
2010 |
url |
http://scholarbank.nus.edu.sg/handle/10635/16365 |
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1681079350892429312 |