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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
Knygos.lt klubas Knygos.lt nariams
83,57 €
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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.
  • Leidėjas:
  • Metai: 2009
  • Puslapiai: 148
  • ISBN-10: 3834809098
  • ISBN-13: 9783834809094
  • Formatas: 14.8 x 21 x 0.8 cm, minkšti viršeliai
  • Kalba: Anglų

Shape Optimization Under Uncertainty from a Stochastic Programming Point of View (el. knyga) (skaityta knyga) | knygos.lt

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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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  • Autorius: Harald Held
  • Leidėjas:
  • Metai: 2009
  • Puslapiai: 148
  • ISBN-10: 3834809098
  • ISBN-13: 9783834809094
  • Formatas: 14.8 x 21 x 0.8 cm, minkšti viršeliai
  • Kalba: Anglų

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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