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  • © 2013

Model Based Parameter Estimation

Theory and Applications

  • Overview of state-of-the-art methods for model based parameter estimation
  • Applications for several scientific disciplines: biology, medicine, chemistry, electrochemistry, environmental physics, image processing and computer vision
  • Parameter estimation is a key feature of computational modelling ?
  • Includes supplementary material: sn.pub/extras

Part of the book series: Contributions in Mathematical and Computational Sciences (CMCS, volume 4)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-x
  2. Parameter Estimation and Optimum Experimental Design for Differential Equation Models

    • Hans Georg Bock, Stefan Körkel, Johannes P. Schlöder
    Pages 1-30
  3. Gauss–Newton Methods for Robust Parameter Estimation

    • Tanja Binder, Ekaterina Kostina
    Pages 55-87
  4. Interaction Between Experiment, Modeling and Simulation of Spatial Aspects in the JAK2/STAT5 Signaling Pathway

    • Elfriede Friedmann, Andrea C. Pfeifer, Rebecca Neumann, Ursula Klingmüller, Rolf Rannacher
    Pages 125-143
  5. Combustion Chemistry and Parameter Estimation

    • Marc Fischer, Uwe Riedel
    Pages 207-226
  6. Numerical Simulation of Catalytic Reactors by Molecular-Based Models

    • Olaf Deutschmann, Steffen Tischer
    Pages 227-250
  7. An Application of Robust Parameter Estimation in Environmental Physics

    • Alexandra G. Herzog, Felix R. Vogel
    Pages 287-309
  8. Parameter Estimation in Image Processing and Computer Vision

    • Christoph S. Garbe, Björn Ommer
    Pages 311-334

About this book

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.

Editors and Affiliations

  • Interdisciplinary Center for Scientific, Computing (IWR), Heidelberg University, Heidelberg, Germany

    Hans Georg Bock, Willi Jäger, Johannes P. Schlöder

  • Institute for Applied Mathematics, Heidelberg University, Heidelberg, Germany

    Thomas Carraro, Rolf Rannacher

  • Interdisciplinary Center for, Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany

    Stefan Körkel

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access