Model Based Parameter Estimation - Theory and Applications (Hardcover, 2013 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Contributions in Mathematical and Computational Sciences, 4
Release date:	March 2013
First published:	2013
Editors:	Hans Georg Bock • Thomas Carraro • Willi Jager • Stefan Koerkel • Rolf Rannacher • Johannes P. Schloeder
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Hardcover
Pages:	334
Edition:	2013 ed.
ISBN-13:	978-3-642-30366-1
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	3-642-30366-8
Barcode:	9783642303661

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