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Model based parameter estimation theory and applications Hans Georg Bock [and others], editors

Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2013 English International Available online

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Format:
Book
Contributor:
Bock, Hans Georg
Series:
Contributions in mathematical and computational sciences v. 4
Contributions in mathematical and computational sciences 2191-303X v. 4
Language:
English
Subjects (All):
Parameter estimation.
Differential equations.
Simulation methods.
simulation methods.
Physical Description:
1 online resource
Place of Publication:
Berlin New York Springer ©2013
System Details:
text file
PDF
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
Contents:
Parameter Estimation and Optimum Experimental Design for Differential Equation Models Hans Georg Bock, Stefan Körkel, Johannes P. Schlöder Adaptive Finite Element Methods for Parameter Identification Problems Boris Vexler Gauss-Newton Methods for Robust Parameter Estimation Tanja Binder, Ekaterina Kostina An Optimal Scanning Sensor Activation Policy for Parameter Estimation of Distributed Systems Dariusz Uciński Interaction Between Experiment, Modeling and Simulation of Spatial Aspects in the JAK2/STAT5 Signaling Pathway Elfriede Friedmann, Andrea C. Pfeifer, Rebecca Neumann The Importance and Challenges of Bayesian Parameter Learning in Systems Biology Johanna Mazur, Lars Kaderali Experiment Setups and Parameter Estimation in Fluorescence Recovery After Photobleaching Experiments: A Review of Current Practice J. Beaudouin, Mario S. Mommer, Hans Georg Bock Drug Resistance in Infectious Diseases: Modeling, Parameter Estimation and Numerical Simulation Le Thi Thanh An, Willi Jäger Mathematical Models of Hematopoietic Reconstitution After Stem Cell Transplantation Anna Marciniak-Czochra, Thomas Stiehl Combustion Chemistry and Parameter Estimation Marc Fischer, Uwe Riedel Numerical Simulation of Catalytic Reactors by Molecular-Based Models Olaf Deutschmann, Steffen Tischer Model-Based Design of Experiments for Estimating Heat-Transport Parameters in Tubular Reactors Alexander Badinski, Daniel Corbett Parameter Estimation for a Reconstructed SOFC Mixed-Conducting LSCF-Cathode Thomas Carraro, Jochen Joos An Application of Robust Parameter Estimation in Environmental Physics Alexandra G. Herzog, Felix R. Vogel Parameter Estimation in Image Processing and Computer Vision Christoph S. Garbe, Björn Ommer
Notes:
Includes bibliographical references
Print version record
Other Format:
Print version Model based parameter estimation
ISBN:
9783642303678
3642303676
3642303668
9783642303661
9781299336643
1299336647
OCLC:
829106686
Access Restriction:
Restricted for use by site license

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