Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
The joint management of pricing and inventory for perishable products has become an important problem for retailers. This paper… 
2015
2015
In this paper, a two-stage stochastic unit commitment (UC) model considering flexible scheduling of demand response (DR) is… 
2014
2014
When looking at the optimal place to locate a wind turbine, trade-offs have to be made between local placement and spreading… 
2014
2014
The use of simultaneous sources in geophysical inverse problems has revolutionized the ability to deal with large scale data sets… 
2011
2011
The paper develops a mathematical programming model for assessing the impact of Environmental Policy instruments on French… 
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…