Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming
ISBN: 9783834893994
Platform/Publisher: SpringerLink / Vieweg+Teubner
Digital rights: Users: unlimited; Printing: unlimited; Download: unlimited
Subjects: Mathematics and Statistics;

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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