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» A splitting method for stochastic programs
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MP
2006
107views more  MP 2006»
13 years 7 months ago
Convergence theory for nonconvex stochastic programming with an application to mixed logit
Monte Carlo methods have been used extensively in the area of stochastic programming. As with other methods that involve a level of uncertainty, theoretical properties are required...
Fabian Bastin, Cinzia Cirillo, Philippe L. Toint
HYBRID
2004
Springer
14 years 28 days ago
Inference Methods for Autonomous Stochastic Linear Hybrid Systems
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
Hamsa Balakrishnan, Inseok Hwang, Jung Soon Jang, ...
CPAIOR
2007
Springer
14 years 1 months ago
Solving a Stochastic Queueing Control Problem with Constraint Programming
In a facility with front room and back room operations, it is useful to switch workers between the rooms in order to cope with changing customer demand. Assuming stochastic custome...
Daria Terekhov, J. Christopher Beck
ORL
2008
124views more  ORL 2008»
13 years 7 months ago
Sample average approximation of expected value constrained stochastic programs
We propose a sample average approximation (SAA) method for stochastic programming problems involving an expected value constraint. Such problems arise, for example, in portfolio s...
Wei Wang, Shabbir Ahmed
IOR
2010
86views more  IOR 2010»
13 years 6 months ago
Disjunctive Decomposition for Two-Stage Stochastic Mixed-Binary Programs with Random Recourse
This paper introduces disjunctive decomposition for two-stage mixed 0-1 stochastic integer programs (SIPs) with random recourse. Disjunctive decomposition allows for cutting plane...
Lewis Ntaimo