Shape Optimization Under Uncertainty from a Stochastic Programming Point of View

By Harald Held

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.

• Format: Paperback
• Language: English
• ISBN: 3834809098
• ISBN13: 9783834809094
• Release Date: July 2009
• Publisher: Vieweg+teubner Verlag
• Length: 148 Pages
• Weight: 0.41 lbs.
• Dimensions: 0.3" x 5.8" x 8.3"