Smoothing approximations for two classes of convex eigenvalue optimization problems
Master's
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sg-nus-scholar.10635-152402015-02-19T00:52:49Z Smoothing approximations for two classes of convex eigenvalue optimization problems YU QI MATHEMATICS SUN DEFENG Smoothing function, Lipschitz constant, Smoothing algorithm, Eigenvalue problems, Sigularvalue, spectral function Master's MASTER OF SCIENCE 2010-04-08T10:51:26Z 2010-04-08T10:51:26Z 2006-03-23 Thesis YU QI (2006-03-23). Smoothing approximations for two classes of convex eigenvalue optimization problems. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/15240 NOT_IN_WOS en |
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National University of Singapore |
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Singapore |
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ScholarBank@NUS |
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Smoothing function, Lipschitz constant, Smoothing algorithm, Eigenvalue problems, Sigularvalue, spectral function |
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Smoothing function, Lipschitz constant, Smoothing algorithm, Eigenvalue problems, Sigularvalue, spectral function YU QI Smoothing approximations for two classes of convex eigenvalue optimization problems |
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Master's |
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MATHEMATICS |
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MATHEMATICS YU QI |
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Theses and Dissertations |
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YU QI |
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YU QI |
title |
Smoothing approximations for two classes of convex eigenvalue optimization problems |
title_short |
Smoothing approximations for two classes of convex eigenvalue optimization problems |
title_full |
Smoothing approximations for two classes of convex eigenvalue optimization problems |
title_fullStr |
Smoothing approximations for two classes of convex eigenvalue optimization problems |
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Smoothing approximations for two classes of convex eigenvalue optimization problems |
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smoothing approximations for two classes of convex eigenvalue optimization problems |
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2010 |
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http://scholarbank.nus.edu.sg/handle/10635/15240 |
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