Shape Optimization Under Uncertainty from a Stochastic Programming Point of View

Autor: Harald Held

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer Fachmedien Wiesbaden

Dostupnosť: Skladom u dodávateľa

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Optimization problems are relevant in many areas of technical, industrial, and economic applications...

Informácie o knihe

Autor

Harald Held

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2009

Stránok

148

EAN

9783834809094

ISBN

3834809098

Enbook ID

03621075

Vydavateľ

Springer Fachmedien Wiesbaden

Hmotnosť

298

Rozmery

148 x 210 x 8

Kompletný popis

Optimization problems are relevant in many areas of technical, industrial, and economic applications. At the same time, they pose challenging mathematical research problems in numerical analysis and optimization. Harald Held considers an elastic body subjected to uncertain internal and external forces. Since simply averaging the possible loadings will result in a structure that might not be robust for the individual loadings, he uses techniques from level set based shape optimization and two-stage stochastic programming. Taking advantage of the PDE’s linearity, he is able to compute solutions for an arbitrary number of scenarios without significantly increasing the computational effort. The author applies a gradient method using the shape derivative and the topological gradient to minimize, e.g., the compliance and shows that the obtained solutions strongly depend on the initial guess, in particular its topology. The stochastic programming perspective also allows incorporating risk measures into the model which might be a more appropriate objective in many practical applications.

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Shape Optimization Under Uncertainty from a Stochastic Programming Point of View

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