Cover is for reference only

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...

Full description

Saved in:
Bibliographic Details
Corporate Authors: SpringerLink (Online service)
Group Author: Bock, Hans Georg
Published: Springer,
Publisher Address: Berlin ; New York :
Publication Dates: 2013.
Literature type: eBook
Language: English
Series: Contributions in mathematical and computational sciences, v.4
Subjects:
Parameter estimation.
Differential equations.
Simulation methods.
MATHEMATICS / Probability & Statistics / General.
Parameterscha tzung
Optimale Versuchsplanung.
Mathematisches Modell.
Differentialgleichung
Heidelberg <2009>
Mathematics.
Differential Equations.
Differential equations, partial.
Computer science.
Numerical analysis.
Mathematical optimization.
Computational Science and Engineering.
Mathematical Modeling and Industrial Mathematics.
Electronic books.
Online Access: http://dx.doi.org/10.1007/978-3-642-30367-8
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.
Carrier Form: 1 online resource.
ISBN: 9783642303678 (electronic bk.)
3642303676 (electronic bk.)
Index Number: QA276
CLC: O175
Contents: Parameter Estimation and Optimum Experimental Design for Differential Equation Models /
Adaptive Finite Element Methods for Parameter Identification Problems /
Gauss-Newton Methods for Robust Parameter Estimation /
An Optimal Scanning Sensor Activation Policy for Parameter Estimation of Distributed Systems /
Interaction Between Experiment, Modeling and Simulation of Spatial Aspects in the JAK2/STAT5 Signaling Pathway /
The Importance and Challenges of Bayesian Parameter Learning in Systems Biology /
Experiment Setups and Parameter Estimation in Fluorescence Recovery After Photobleaching Experiments: A Review of Current Practice /
Drug Resistance in Infectious Diseases: Modeling, Parameter Estimation and Numerical Simulation /
Mathematical Models of Hematopoietic Reconstitution After Stem Cell Transplantation /
Combustion Chemistry and Parameter Estimation /
Numerical Simulation of Catalytic Reactors by Molecular-Based Models /
Model-Based Design of Experiments for Estimating Heat-Transport Parameters in Tubular Reactors /
Parameter Estimation for a Reconstructed SOFC Mixed-Conducting LSCF-Cathode /
An Application of Robust Parameter Estimation in Environmental Physics /
Parameter Estimation in Image Processing and Computer Vision /

Related Book Recommendations