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{ "item_title" : "A Direct Method for Parabolic Pde Constrained Optimization Problems", "item_author" : [" Andreas Potschka "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/65/804/475/3658044756_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
A Direct Method for Parabolic Pde Constrained Optimization Problems|Andreas Potschka

A Direct Method for Parabolic Pde Constrained Optimization Problems

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Overview

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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Details

  • ISBN-13: 9783658044756
  • ISBN-10: 3658044756
  • Publisher: Springer Spektrum
  • Publish Date: December 2013
  • Dimensions: 8.27 x 5.83 x 0.53 inches
  • Shipping Weight: 0.68 pounds
  • Page Count: 216

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