Model Based Parameter Estimation
Produktnummer:
189e2b0b87a81d49dea78e2903340dc10b
| Themengebiete: | dynamic process models modeling of processes in natural and life sciences optimal experimental design ordinary differential equations parameter estimation partial differential equations |
|---|---|
| Veröffentlichungsdatum: | 05.03.2013 |
| EAN: | 9783642303661 |
| Sprache: | Englisch |
| Seitenzahl: | 334 |
| Produktart: | Gebunden |
| Herausgeber: | Bock, Hans Georg Carraro, Thomas Jäger, Willi Körkel, Stefan Rannacher, Rolf Schlöder, Johannes P. |
| Verlag: | Springer Berlin |
| Untertitel: | Theory and Applications |
Produktinformationen "Model Based Parameter Estimation"
This judicious selection of articles combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of contexts. These include fields as diverse as biology, medicine, chemistry, environmental physics, image processing and computer vision. The material chosen was presented at a multidisciplinary workshop on parameter estimation held in 2009 in Heidelberg. The contributions show how indispensable efficient methods of applied mathematics and computer-based modeling can be to enhancing the quality of interdisciplinary research. The use of scientific computing to model, simulate, and optimize complex processes has become a standard methodology in many scientific fields, as well as in industry. Demonstrating that the use of state-of-the-art optimization techniques in a number of research areas has much potential for improvement, this book provides advanced numerical methods and the very latest results for the applications under consideration.
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