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Stochastic programming

Known as: Stochastic dynamic programming, Stochastic linear program 
In the field of mathematical optimization, stochastic programming is a framework for modeling optimization problems that involve uncertainty. Whereas… 
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Papers overview

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2015
2015
In this paper, a two-stage stochastic unit commitment (UC) model considering flexible scheduling of demand response (DR) is… 
2014
2014
The use of simultaneous sources in geophysical inverse problems has revolutionized the ability to deal with large scale data sets… 
2014
2014
When looking at the optimal place to locate a wind turbine, trade-offs have to be made between local placement and spreading… 
2010
2010
The purpose of the paper is to discuss the applicability of stochastic programming models and methods to civil engineering design… 
2010
2010
We consider the problem of approximating the branch- and size-dependent demand of a fashion discounter with many branches by a… 
2006
2006
Stochastic dynamic programming models are attractive for multireservoir control problems because they allow non‐linear features… 
2000
2000
Wir betrachten ein Kraftwerkssystem mit thermischen Blocken und Pumpspeicherwerken und entwickeln dafur ein Modell fur den… 
1999
1999
Freight carriers within urban areas are increasingly being required to arrive at customers within designated time windows within… 
1992
1992
The purpose of this paper is to investigate different preprocessing procedures for stochastic linear programs. The procedures are…