Téléchargez le livre : Stochastic Optimization Methods

Stochastic Optimization Methods

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Éditeur :

Springer


Paru le : 2005-12-05

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Description
Optimization problems arising in practice involve random parameters. For the computation of robust optimal solutions, i.e., optimal solutions being insensitive with respect to random parameter variations, deterministic substitute problems are needed. Based on the distribution of the random data, and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into deterministic substitute problems. Due to the occurring probabilities and expectations, approximative solution techniques must be applied. Deterministic and stochastic approximation methods and their analytical properties are provided: Taylor expansion, regression and response surface methods, probability inequalities, First Order Reliability Methods, convex approximation/deterministic descent directions/efficient points, stochastic approximation methods, differentiation of probability and mean value functions. Convergence results of the resulting iterative solution procedures are given.
Pages
314 pages
Collection
n.c
Parution
2005-12-05
Marque
Springer
EAN papier
9783540222729
EAN PDF
9783540268482
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
10353 Ko
Prix
105,49 €

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