1.

Record Nr.

UNINA9910438145803321

Titolo

Model based parameter estimation : theory and applications / / Hans Georg Bock ... [et al.], editors

Pubbl/distr/stampa

New York, : Springer, 2013

ISBN

1-299-33664-7

3-642-30367-6

Edizione

[1st ed. 2013.]

Descrizione fisica

1 online resource (339 p.)

Collana

Contributions in mathematical and computational sciences ; ; v. 4

Altri autori (Persone)

BockHans Georg

Disciplina

515.3

Soggetti

Stochastic systems

Parameter estimation

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Parameter Estimation and Optimum Experimental Design for Differential Equation Models: 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. Jäger -- Mathematical Models of Hematopoietic Reconstitution after Stem Cell Transplantation: A. Marciniak-Czochra, Th. Stiehl -- Combustion Chemistry and Parameter Estimation: M. Fischer, U. Riedel -- Numerical Simulation of Catalytic Reactors by Molecular-Based Models: O. Deutschmann, St. Tischer -- Model-Based Design of Experiments for Estimating Heat-Transport Parameters in Tubular Reactors: A.Badinski, D. Corbett -- Parameter Estimation for a Reconstructed SOFC Mixed-



Conducting LSCF-Cathode: Th. Carraro, J. Joos -- An Application of Robust Parameter Estimation in Environmental Physics: G. Herzog, F. R. Vogel -- Parameter Estimation in Image Processing and Computer Vision: Ch. S. Garbe, B. Ommer.

Sommario/riassunto

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.