113,57 €
126,19 €
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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
113,57
126,19 €
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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.
  • Publisher:
  • Year: 2009
  • Pages: 148
  • ISBN-10: 3834809098
  • ISBN-13: 9783834809094
  • Format: 14.8 x 21 x 0.8 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Shape Optimization Under Uncertainty from a Stochastic Programming Point of View (e-book) (used book) | bookbook.eu

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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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  • Author: Harald Held
  • Publisher:
  • Year: 2009
  • Pages: 148
  • ISBN-10: 3834809098
  • ISBN-13: 9783834809094
  • Format: 14.8 x 21 x 0.8 cm, minkšti viršeliai
  • Language: English 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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