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» Scenario Reduction Techniques in Stochastic Programming
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SAGA
2009
Springer
13 years 11 months ago
Scenario Reduction Techniques in Stochastic Programming
Stochastic programming problems appear as mathematical models for optimization problems under stochastic uncertainty. Most computational approaches for solving such models are base...
Werner Römisch
ORL
2007
96views more  ORL 2007»
13 years 4 months ago
A note on scenario reduction for two-stage stochastic programs
We extend earlier work on scenario reduction by relying directly on Fortet–Mourier metrics instead of using upper bounds given in terms of mass transportation problems. The impo...
Holger Heitsch, Werner Römisch
WCE
2007
13 years 6 months ago
Scenario Generation Employing Copulas
—Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future...
Kristina Sutiene, Henrikas Pranevicius
ATAL
2004
Springer
13 years 8 months ago
State-Space Reduction Techniques in Agent Verification
We have developed a set of tools to allow the use of model-checking techniques for the verification of systems directly implemented in an agent-oriented programming language. The ...
Rafael H. Bordini, Michael Fisher, Willem Visser, ...
EOR
2008
70views more  EOR 2008»
13 years 4 months ago
Robust portfolio selection based on a multi-stage scenario tree
The aim of this paper is to apply the concept of robust optimization introduced by Bel-Tal and Nemirovski to the portfolio selection problems based on multi-stage scenario trees. ...
Ruijun Shen, Shuzhong Zhang