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» Convexity and decomposition of mean-risk stochastic programs
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SIAMJO
2002
120views more  SIAMJO 2002»
13 years 4 months ago
Dual Stochastic Dominance and Related Mean-Risk Models
We consider the problem of constructing mean{risk models which are consistent with the second degree stochastic dominance relation. By exploiting duality relations of convex analys...
Wlodzimierz Ogryczak, Andrzej Ruszczynski
MP
2006
87views more  MP 2006»
13 years 4 months ago
Convexity and decomposition of mean-risk stochastic programs
Abstract. Traditional stochastic programming is risk neutral in the sense that it is concerned with the optimization of an expectation criterion. A common approach to addressing ri...
Shabbir Ahmed
ICCAD
2007
IEEE
96views Hardware» more  ICCAD 2007»
14 years 1 months ago
Monte-Carlo driven stochastic optimization framework for handling fabrication variability
Increasing effects of fabrication variability have inspired a growing interest in statistical techniques for design optimization. In this work, we propose a Monte-Carlo driven sto...
Vishal Khandelwal, Ankur Srivastava
ANOR
2006
69views more  ANOR 2006»
13 years 4 months ago
A splitting method for stochastic programs
This paper derives a new splitting-based decomposition algorithm for convex stochastic programs. It combines certain attractive features of the progressive hedging algorithm of Roc...
Teemu Pennanen, Markku Kallio