This book on PDE Constrained Optimization contains contributions on the mathematical analysis and numerical solution of constrained optimal control and optimization problems where a partial differential equation (PDE) or a system of PDEs appears as an essential part of the constraints. The appropriate treatment of such problems requires a fundamental understanding of the subtle interplay between optimization in function spaces and numerical discretization techniques and relies on advanced methodologies from the theory of PDEs and numerical analysis as well as scientific computing.
The contributions reflect the work of the European Science Foundation Networking Programme 'Optimization with PDEs' (OPTPDE).
| ISBN: | 9783319080246 |
| Publication date: | 23rd September 2014 |
| Author: | Ronald H W Hoppe |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 402 pages |
| Series: | Lecture Notes in Computational Science and Engineering |
| Genres: |
Numerical analysis Optimization Mathematical physics Maths for engineers |
This book on PDE Constrained Optimization contains contributions on the mathematical analysis and numerical solution of constrained optimal control and optimization problems where a partial differential equation (PDE) or a system of PDEs appears as an essential part of the constraints. The appropriate treatment of such problems requires a fundamental understanding of the subtle interplay between optimization in function spaces and numerical discretization techniques and relies on advanced methodologies from the theory of PDEs and numerical analysis as well as scientific computing.
Optimization With PDE Constraints features in the following genres: Numerical analysis, Optimization, Mathematical physics, Maths for engineers
Hardback. Not Available.
Optimization With PDE Constraints was written by Ronald H W Hoppe and published by Springer an imprint of Springer International Publishing
Optimization With PDE Constraints has 402 pages
Yes it is part of Lecture Notes in Computational Science and Engineering series