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Shape Optimization Under Uncertainty from a Stochastic Programming Point of View

Shape Optimization Under Uncertainty from a Stochastic Programming Point of View

Paperback

Series: Stochastic Programming

Probability & Statistics

ISBN10: 3834809098
ISBN13: 9783834809094
Publisher: Springer Pg
Published: Jul 28 2009
Pages: 148
Weight: 0.41
Height: 0.32 Width: 5.83 Depth: 8.27
Language: English
he 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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