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Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming
Christian Kuchler
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Description for Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming
paperback. Christian Kuchler 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. Series: Stochastic Programming. Num Pages: 186 pages, 49 black & white illustrations, 9 black & white tables, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 210 x 148 x 10. Weight in Grams: 230.
Christian Kuchler 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.
Christian Kuchler 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.
Product Details
Format
Paperback
Publication date
2009
Publisher
Vieweg+Teubner Verlag Germany
Number of pages
186
Condition
New
Series
Stochastic Programming
Number of Pages
184
Place of Publication
Weisbaden, Germany
ISBN
9783834809216
SKU
V9783834809216
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Christian Kuchler
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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