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A Direct Method for Parabolic Pde Constrained Optimization Problems (2014)

A Direct Method for Parabolic PDE Constrained Optimization Problems

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"A Direct Method for Parabolic PDE Constrained Optimization Problems" by Andreas Potschka is a mathematics book and learning resource focused on Core Mathematics. Best for teachers, students, and readers looking for stronger mathematical understanding.

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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Best For: Researchers and practitioners working on dynamic optimization problems involving parabolic partial differential equations.
Focus: A direct multiple shooting method for nonlinear, possibly time-periodic, parabolic PDE constrained optimization problems.
Covers: The formulation and analysis of a globalized inexact Sequential Quadratic Programming method that computes adjoint derivatives automatically without explicit adjoint equations.
Why It Matters: It simplifies the computational process by avoiding the manual derivation of adjoint equations, reducing potential errors and saving time in solving complex PDE constrained optimization problems.

"A Direct Method for Parabolic PDE Constrained Optimization Problems" by Andreas Potschka is a mathematics book and learning resource focused on Core Mathematics. Best for teachers, students, and readers looking for stronger mathematical understanding.

Topic: Core Mathematics

Author: Andreas Potschka

Who this is for:

  • Teachers and classroom instructors
  • Students building subject mastery
  • Readers looking for practical learning support

Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.

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.

AuthorAndreas Potschka
PublisherSpringer Spektrum
Published2013-12-13
ISBN-139783658044756
BindingPaperback
LanguageEnglish
SubjectsMathematics
TopicCore Mathematics
SeriesAdvances in Numerical Mathematics

Format: Paperback

Language: English

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