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Stochastic Decomposition
Higle, Julia L.; Sen, Suvrajeet
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Description for Stochastic Decomposition
Hardback. Summarizes developments related to a class of methods called Stochastic Decomposition (SD) algorithms, which represent an important shift in the design of optimization algorithms. This title is suitable for researchers in mathematical optimization, including those working in telecommunications and electric power generation. Series: Nonconvex Optimization and Its Applications. Num Pages: 246 pages, biography. BIC Classification: PBT; PBW; UM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 15. Weight in Grams: 1160.
Motivation Stochastic Linear Programming with recourse represents one of the more widely applicable models for incorporating uncertainty within in which the SLP optimization models. There are several arenas model is appropriate, and such models have found applications in air line yield management, capacity planning, electric power generation planning, financial planning, logistics, telecommunications network planning, and many more. In some of these applications, modelers represent uncertainty in terms of only a few seenarios and formulate a large scale linear program which is then solved using LP software. However, there are many applications, such as the telecommunications planning problem discussed in this ... Read more
Motivation Stochastic Linear Programming with recourse represents one of the more widely applicable models for incorporating uncertainty within in which the SLP optimization models. There are several arenas model is appropriate, and such models have found applications in air line yield management, capacity planning, electric power generation planning, financial planning, logistics, telecommunications network planning, and many more. In some of these applications, modelers represent uncertainty in terms of only a few seenarios and formulate a large scale linear program which is then solved using LP software. However, there are many applications, such as the telecommunications planning problem discussed in this ... Read more
Product Details
Format
Hardback
Publication date
1996
Publisher
Kluwer Academic Publishers United States
Number of pages
246
Condition
New
Series
Nonconvex Optimization and Its Applications
Number of Pages
222
Place of Publication
Dordrecht, Netherlands
ISBN
9780792338406
SKU
V9780792338406
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Stochastic Decomposition
`... can be highly recommended to anyone who wants to understand what stochastic decomposition is all about ...' Mathematical Reviews, 98d