Model Based Parameter Estimation

Theory and Applications

Nonfiction, Science & Nature, Mathematics, Number Systems, Differential Equations
Cover of the book Model Based Parameter Estimation by , Springer Berlin Heidelberg
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Author: ISBN: 9783642303678
Publisher: Springer Berlin Heidelberg Publication: February 26, 2013
Imprint: Springer Language: English
Author:
ISBN: 9783642303678
Publisher: Springer Berlin Heidelberg
Publication: February 26, 2013
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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