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Model Based Parameter Estimation

Theory and Applications

Model Based Parameter Estimation by Hans Georg Bock
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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.

Springer Berlin Heidelberg; February 2013
339 pages; ISBN 9783642303678
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Title: Model Based Parameter Estimation
Author: Hans Georg Bock; Thomas Carraro; Willi Jäger; Stefan Körkel; Rolf Rannacher; Johannes P. Schlöder
 
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