Model Based Parameter Estimation Theory and Applications /

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 mat...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Bock, Hans Georg. (Editor), Carraro, Thomas. (Editor), Jg̃er, Willi. (Editor), Kr̲kel, Stefan. (Editor), Rannacher, Rolf. (Editor), Schld̲er, Johannes P. (Editor)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Series:Contributions in Mathematical and Computational Sciences, 4
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-30367-8
Description
Summary: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.
Physical Description:X, 334 p. 85 illus., 46 illus. in color. online resource.
ISBN:9783642303678
ISSN:2191-303X ;