1653132884     

398205523                        

---

A Direct Method for Parabolic PDE Constrained Optimization Problems / by Andreas Potschka

Potschka, Andreas, 1980-

Wiesbaden ; s.l. : Springer Fachmedien Wiesbaden ; Imprint: Springer Spektrum, 2014

Online-Ressource (XIV, 216 p. 30 illus, online resource)

Englisch

Parabolic PDE Constrained Optimization ProblemsTwo-Grid Newton-Picard Inexact SQP -- Structure Exploiting Solution of QPs -- Applications and Numerical Results.

Description based upon print version of record

Druckausg.: A direct method for parabolic PDE constrained optimization problems / Potschka, Andreas

978-3-658-04476-3

978-3-658-04475-6 (ISBN der Printausgabe)

772980764

OCoLC: 868319891 (aus SWB)      ; OCoLC: 1015862679 (aus SWB)     

Elektronische Ressource: Zugang über Resolving-System (Lizenzangabe: Lizenzpflichtig)

Elektronische Ressource: Zugang über Resolving-System (Lizenzangabe: Lizenzpflichtig)

Digital Object Identifier (DOI): 10.1007/978-3-658-04476-3

SK 920      Ähnliche Literatur

QA402.5-402.6

519.6

Basisklassifikation: 31.76 (Numerische Mathematik) ; 31.45 (Partielle Differentialgleichungen)

MSC: *49-02 ; MSC: 49M37 ; MSC: 49M15 ; MSC: 90-02 ; MSC: 90C30 ; MSC: 90C20 ; MSC: 90C55 ; MSC: 90C90 ; MSC: 65K10 ; MSC: 35Q93 ; bicssc: PBU ; bisacsh: MAT003000

*Optimierung ; Nebenbedingung ; Parabolische Differentialgleichung      Zum Register

LOC-SH: Differential equations, partial ; Mathematics ; Biochemical engineering ; Differential equations, partial ; Mathematical optimization ; Biochemical engineering ; Mathematical optimization ; Mathematics ; Partial differential equations.

Biochemical engineering ; Differential equations, partial ; Mathematical optimization ; Mathematics

Parabolic PDE Constrained Optimization Problems -- Two-Grid Newton-Picard Inexact SQP -- Structure Exploiting Solution of QPs -- Applications and Numerical Results

---

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. Contents · Parabolic PDE Constrained Optimization Problems · Two-Grid Newton-Picard Inexact SQP · Structure Exploiting Solution of QPs · Applications and Numerical Results Target Groups · Researchers and students in the fields of mathematics, information systems, and scientific computing · Users with PDE constrained optimization problems, in particular in (bio-)chemical engineering The Author Dr. Andreas Potschka is a postdoctoral researcher in the Simulation and Optimization group of Prof. Dr. Dres. h. c. Hans Georg Bock at the Interdisciplinary Center for Scientific Computing, Heidelberg University. He is the head of the research group Model-Based Optimizing Control

 Cover    Inhaltstext