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Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming
von: Christian Küchler
Vieweg+Teubner (GWV), 2010
ISBN: 9783834893994
178 Seiten,
Download: 2621 KB
Format: PDF
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geeignet für:
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Typ: B (paralleler Zugriff)
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Kurzinformation |
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Christian Küchler studies various aspects of the stability of stochastic optimization problems as well as approximation and decomposition methods in stochastic programming. In particular, the author presents an extension of the Nested Benders decomposition algorithm related to the concept of recombining scenario trees.
Dr. Christian Küchler completed his doctoral thesis at the Humboldt University, Berlin. He currently works as a quantitative analyst at Landesbank Berlin AG. |
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