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                                                     Seminar

             Department of Systems Engineering and Engineering Management
                                  The Chinese University of Hong Kong

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Title

:

Semidefinite programming models for minimax stochastic programs

 

 

 

Speaker

:

Dr. Karthik Natarajan

 

 

Department of Management Sciences

 

 

City University of Hong Kong

 

 

 

Date

:

March 12th, 2010 (Friday)

 

 

 

Time

:

4:30 p.m. - 5:30 p.m.

 

 

 

Venue

:

Room 513

 

 

William M.W. Mong Engineering Building

 

 

(Engineering Building Complex Phase 2)

 

 

CUHK

 

 

 

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Abstract:
 

In this work, we develop semidefinite progamming (SDP) based models for the class of minimax stochastic linear optimization problems. The distribution of the random variables is ambiguous and chosen from a set of multivariate distributions with known mean and covariance matrix. For the problem with random objective, we provide a polynomial-sized SDP formulation. For the problem with random right-hand side, the problem is shown to be NP-hard. Using a recent representation result of completely positive programs, we develop SDP relaxations for this problem. The approach guarantees to hedge against the worst possible distribution while providing natural distributions to stress test stochastic optimization problems.


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Biography:
 

Dr Karthik received his PhD under the Singapore-MIT Alliance program and spent the first five years of his career at the Department of Mathematics, NUS. He is presently with the Department of Management Sciences, City University of Hong Kong.

His current research interests lie in the analysis of linear and discrete optimization problems under uncertainty.


************************* ALL ARE WELCOME ************************

 

 

 

Host

:

Prof. Zhou Xiang, Sean

Tel

:

(852) 2609-8336

Email

:

zhoux@se.cuhk.edu.hk

 

 

 

Enquiries

:

Prof. Nan Chen or Prof. Sean X. Zhou

 

:

Department of Systems Engineering and Engineering Management

 

 

CUHK

Website

:

http://www.se.cuhk.edu.hk/~seg5810

Email

:

seg5810@se.cuhk.edu.hk

 

 

 

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