Description |
1 online resource (x, 334 pages) : illustrations (some color) |
Series |
Contributions in mathematical and computational sciences, 2191-303X ; v. 4 |
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Contributions in mathematical and computational sciences ; v. 4.
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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 |
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 |
Analysis |
Mathematics |
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Differential Equations |
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Differential equations, partial |
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Computer science |
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Numerical analysis |
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Mathematical optimization |
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Computational Science and Engineering |
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Mathematical Modeling and Industrial Mathematics |
Bibliography |
Includes bibliographical references |
Notes |
Print version record |
Subject |
Parameter estimation.
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Differential equations.
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Simulation methods.
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simulation methods.
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MATHEMATICS -- Probability & Statistics -- General.
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Estimación estadística
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Ecuaciones diferenciales
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Métodos de simulación
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Differential equations
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Parameter estimation
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Simulation methods
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Parameterschätzung
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Optimale Versuchsplanung
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Mathematisches Modell
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Differentialgleichung
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Form |
Electronic book
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Author |
Bock, Hans Georg.
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ISBN |
9783642303678 |
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3642303676 |
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3642303668 |
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9783642303661 |
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9781299336643 |
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1299336647 |
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