Stochastic programming: Difference between revisions

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# How to construct scenarios, see {{Section link||Scenario construction}};
# How to solve the deterministic equivalent. Optimizers such as [[CPLEX]], and [[GNU Linear Programming Kit|GLPK]] and [[Gurobi]] can solve large linear/nonlinear problems. The NEOS Server,<ref name="neos">{{Cite web|url=http://www.neos-server.org/neos/|title = NEOS Server for Optimization}}</ref> hosted at the [[University of Wisconsin, Madison]], allows free access to many modern solvers. The structure of a deterministic equivalent is particularly amenable to apply decomposition methods,<ref>{{cite book|first2=Alexander|last2=Shapiro|last1=Ruszczyński|first1=Andrzej|title=Stochastic Programming|publisher=[[Elsevier]]|year=2003|isbn=978-0444508546|series=Handbooks in Operations Research and Management Science|volume=10|___location=Philadelphia|pages=700|author1-link=Andrzej Piotr Ruszczyński}}</ref> such as [[Benders' decomposition]] or scenario decomposition;
# How to measure quality of the obtained solution with respect to the "true" optimum.