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A Direct Method for Parabolic Pde Constrained Optimization Problems
A Direct Method for Parabolic Pde Constrained Optimization Problems
138,23
153,59 €
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Andreas Potschka discusses a direct multiple shooting method for dynamic optimization problems constrained by nonlinear, possibly time-periodic, parabolic partial differential equations. In contrast to indirect methods, this approach automatically computes adjoint derivatives without requiring the user to formulate adjoint equations, which can be time-consuming and error-prone. The author describes and analyzes in detail a globalized inexact Sequential Quadratic Programming method that exploits…
153.59
  • Publisher:
  • Year: 2013
  • Pages: 216
  • ISBN-10: 3658044756
  • ISBN-13: 9783658044756
  • Format: 14.8 x 21 x 1.4 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

A Direct Method for Parabolic Pde Constrained Optimization Problems (e-book) (used book) | bookbook.eu

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Andreas Potschka discusses a direct multiple shooting method for dynamic optimization problems constrained by nonlinear, possibly time-periodic, parabolic partial differential equations. In contrast to indirect methods, this approach automatically computes adjoint derivatives without requiring the user to formulate adjoint equations, which can be time-consuming and error-prone. The author describes and analyzes in detail a globalized inexact Sequential Quadratic Programming method that exploits the mathematical structures of this approach and problem class for fast numerical performance. The book features applications, including results for a real-world chemical engineering separation problem.

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  • Author: Andreas Potschka
  • Publisher:
  • Year: 2013
  • Pages: 216
  • ISBN-10: 3658044756
  • ISBN-13: 9783658044756
  • Format: 14.8 x 21 x 1.4 cm, minkšti viršeliai
  • Language: English English

Andreas Potschka discusses a direct multiple shooting method for dynamic optimization problems constrained by nonlinear, possibly time-periodic, parabolic partial differential equations. In contrast to indirect methods, this approach automatically computes adjoint derivatives without requiring the user to formulate adjoint equations, which can be time-consuming and error-prone. The author describes and analyzes in detail a globalized inexact Sequential Quadratic Programming method that exploits the mathematical structures of this approach and problem class for fast numerical performance. The book features applications, including results for a real-world chemical engineering separation problem.

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