|edoc-Server der Humboldt-Universität zu Berlin|
Holger Heitsch, Humboldt-University|
Werner Römisch, Humboldt-University
|Title:||Scenario tree modelling for multistage stochastic programs|
|Date of Acceptance:||31.03.2006|
Stochastic Programming E-Print Series |
|Editors:||Julie L. Higle; Werner Römisch; Surrajeet Sen|
|Complete Preprint:||pdf (urn:nbn:de:kobv:11-10066244)|
|Metadata export: To export the complete metadata set as Endote or Bibtex format please click to the appropriate link.||Endnote Bibtex|
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|An important issue for solving multistage stochastic programs consists in the approximate representation of the (multivariate) stochastic input process in the form of a scenario tree. In this paper, forward and backward approaches are developed for generating scenario trees out of an initial fan of individual scenarios. Both approaches are motivated by the recent stability result in  for optimal values of multistage stochastic programs. They are based on upper bounds for the two relevant ingredients of the stability estimate, namely, the probabilistic and the ﬁltration distance, respectively. These bounds allow to control the process of recursive scenario reduction  and branching. Numerical experience is reported for constructing multivariate scenario trees in electricity portfolio management.|
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