| Control of Coupled Partial Differential Equations 2007 Edition Contributor(s): Kunisch, Karl (Editor), Leugering, Günter (Editor), Sprekels, Jürgen (Editor) |
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ISBN: 3764377208 ISBN-13: 9783764377205 Publisher: Birkhauser OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: April 2007 |
| Additional Information |
| BISAC Categories: - Mathematics | Differential Equations - Partial - Mathematics | Applied - Mathematics | Linear & Nonlinear Programming |
| Dewey: 515.353 |
| LCCN: 2007922150 |
| Series: International Series of Numerical Mathematics |
| Physical Information: 1" H x 6.5" W x 9.1" (1.85 lbs) 384 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: The international Conference on Optimal Control of Coupled Systems of Partial Di?erential Equations was held at the Mathematisches Forschungsinstitut Ob- wolfach (www.mfo.de) from April, 17 to 23, 2005. The scienti?c program included 30 talks coveringvarious topics as controllability, feedback-control, optimality s- tems, model-reduction techniques, analysis and optimal control of ?ow problems and ?uid-structure interactions, as well as problems of shape and topology op- mization. The applications discussed during the conference range from the op- mization and control of quantum mechanical systems, the design of piezo-electric acoustic micro-mechanical devices, optimal control of crystal growth, the control of bodies immersed into a ?uid to airfoil design and much more. Thus the app- cations are across all time and length scales. Optimization and control of systems governed by partial di?erential eq- tions and more recently by variational inequalities is a very active ?eld of research in Applied Mathematics, in particular in numerical analysis, scienti?c comp- ing and optimization. In order to able to handle real-world applications, scalable and parallelizable algorithms have to be designed, implemented and validated. This requires an in-depth understanding of both the theoretical properties and the numerical realization of such structural insights. Therefore, a core devel- ment within the ?eld of optimization with PDE-constraints such as the analysis of control-and-state-constrained problems, the role of obstacles, multi-phases etc. and an interdisciplinary diagonal bridging regarding applications and numerical simulation are most important." |