| edoc-Server der Humboldt-Universität zu Berlin |
| Author(s): |
Michal Kaut, Norwegian University of Science and Technology Stein W. Wallace, Molde University College | Title: | Evaluation of scenario-generation methods for stochastic programming |
| Date of Acceptance: | 14.07.2003 |
| Submission Date: | 07.05.2003 |
| Series Title: |
Stochastic Programming E-Print Series (SPEPS) |
| Editors: | Julie L. Higle; Werner Römisch; Surrajeet Sen |
| Complete Preprint: | pdf (urn:nbn:de:kobv:11-10059100) |
| Keywords (eng): | stochastic programming, scenario generation, scenario tree |
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| In this paper, we discuss the evaluation of quality/suitability of scenario-generation methods for a given stochastic programming model. We formulate minimal requirements that should be imposed on a scenario-generation method before it can be used for solving the stochastic pro-gramming model. We also show how the requirements can be tested. The procedure of testing a scenario-generation method is illustrated on a case from portfolio management. In addition, we provide a short overview of the most common scenario-generation methods. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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