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... Ausführliche Beschreibung

1. Person: Bock, Hans Georg [editor]
Weitere Körperschaften: SpringerLink (Online service)
Weitere Personen: Carraro, Thomas [editor]; Jäger, Willi [editor]; Körkel, Stefan [editor]
Format: E-Buch
Sprache: English
Veröffentlicht: Berlin, Heidelberg Springer Berlin Heidelberg 2013, 2013
Beschreibung: X, 334 p. 83 illus., 26 illus. in color online resource
Ausgabe: 1st ed. 2013
Serien: Contributions in Mathematical and Computational Sciences
Schlagworte: Computational Science and Engineering
Mathematical Modeling and Industrial Mathematics
Differential equations, partial
Computer science
Ordinary Differential Equations
Calculus of Variations and Optimal Control; Optimization
Partial Differential Equations
Numerical analysis
Numerical Analysis
Differential Equations
Mathematical optimization
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100 1 |a Bock, Hans Georg  |e [editor] 
245 0 0 |a Model Based Parameter Estimation  |h Elektronische Ressource  |b Theory and Applications  |c edited by Hans Georg Bock, Thomas Carraro, Willi Jäger, Stefan Körkel, Rolf Rannacher, Johannes P. Schlöder 
250 |a 1st ed. 2013 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 2013, 2013 
300 |a X, 334 p. 83 illus., 26 illus. in color  |b online resource 
505 0 |a H.G. Bock, St. Körkel, J.P. Schlöder -- Adaptive Finite Element Methods for Parameter Identification Problems: B. Vexler -- Gauss-Newton Methods for Robust Parameter Estimation: T. Binder, E. Kostina -- An Optimal Scanning Sensor Activation Policy for Parameter Estimation of Distributed Systems: D. Ucínski -- Interaction between Experiment, Modeling and Simulation of Spatial Aspects in the JAK2/STAT5 Signaling Pathway: E. Friedmann, A. C. Pfeifer, R. Neumann, U. Klingmüller , R. Rannacher -- The Importance and Challenges of Bayesian Parameter Learning in Systems Biology: J. Mazur, L. Kaderali -- Experiment Setups and Parameter Estimation in Fluorescence Recovery After Photobleaching Experiments: A Review of Current Practice: J. Beaudouin, M. S. Mommer, H. G. Bock, R. Eils -- Drug Resistance in Infectious Diseases: Modeling, Parameter Estimation and Numerical Simulation: Le Thi Thanh An, W. Jä 
653 |a Computational Science and Engineering 
653 |a Mathematical Modeling and Industrial Mathematics 
653 |a Differential equations, partial 
653 |a Computer science 
653 |a Ordinary Differential Equations 
653 |a Calculus of Variations and Optimal Control; Optimization 
653 |a Partial Differential Equations 
653 |a Numerical analysis 
653 |a Numerical Analysis 
653 |a Differential Equations 
653 |a Mathematical optimization 
700 1 |a Carraro, Thomas  |e [editor] 
700 1 |a Jäger, Willi  |e [editor] 
700 1 |a Körkel, Stefan  |e [editor] 
710 2 |a SpringerLink (Online service) 
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989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Contributions in Mathematical and Computational Sciences 
856 |u https://doi.org/10.1007/978-3-642-30367-8?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 515.352 
520 |a 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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