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 m
Model Based Parameter Estimation: Theory and Applications
✍ Scribed by Hans Georg Bock, Stefan Körkel, Johannes P. Schlöder (auth.), Hans Georg Bock, Thomas Carraro, Willi Jäger, Stefan Körkel, Rolf Rannacher, Johannes P. Schlöder (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2013
- Tongue
- English
- Leaves
- 339
- Series
- Contributions in Mathematical and Computational Sciences 4
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
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.
✦ Table of Contents
Front Matter....Pages i-x
Parameter Estimation and Optimum Experimental Design for Differential Equation Models....Pages 1-30
Adaptive Finite Element Methods for Parameter Identification Problems....Pages 31-54
Gauss–Newton Methods for Robust Parameter Estimation....Pages 55-87
An Optimal Scanning Sensor Activation Policy for Parameter Estimation of Distributed Systems....Pages 89-124
Interaction Between Experiment, Modeling and Simulation of Spatial Aspects in the JAK2/STAT5 Signaling Pathway....Pages 125-143
The Importance and Challenges of Bayesian Parameter Learning in Systems Biology....Pages 145-156
Experiment Setups and Parameter Estimation in Fluorescence Recovery After Photobleaching Experiments: A Review of Current Practice....Pages 157-169
Drug Resistance in Infectious Diseases: Modeling, Parameter Estimation and Numerical Simulation....Pages 171-190
Mathematical Models of Hematopoietic Reconstitution After Stem Cell Transplantation....Pages 191-206
Combustion Chemistry and Parameter Estimation....Pages 207-226
Numerical Simulation of Catalytic Reactors by Molecular-Based Models....Pages 227-250
Model-Based Design of Experiments for Estimating Heat-Transport Parameters in Tubular Reactors....Pages 251-266
Parameter Estimation for a Reconstructed SOFC Mixed-Conducting LSCF-Cathode....Pages 267-285
An Application of Robust Parameter Estimation in Environmental Physics....Pages 287-309
Parameter Estimation in Image Processing and Computer Vision....Pages 311-334
✦ Subjects
Ordinary Differential Equations; Partial Differential Equations; Numerical Analysis; Computational Science and Engineering; Mathematical Modeling and Industrial Mathematics; Calculus of Variations and Optimal Control; Optimization
📜 SIMILAR VOLUMES
Content: <br>Chapter 1 Linear Model Predictive Control via Multiparametric Programming (pages 1–23): Dr. Vassilis Sakizlis, Dr. Konstantinos I. Kouramas and Prof. Efstratios N. Pistikopoulos<br>Chapter 2 Hybrid Parametric Model?Based Control (pages 25–48): Dr. Konstantinos Kouramas and Dr. Vivek Dua