bokomslag Model Based Parameter Estimation
Data & IT

Model Based Parameter Estimation

Hans Georg Bock Thomas Carraro Willi Jger Stefan Krkel Rolf Rannacher

Inbunden

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Andra format:

  • 334 sidor
  • 2013
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.
  • Författare: Hans Georg Bock, Thomas Carraro, Willi Jger, Stefan Krkel, Rolf Rannacher
  • Illustratör: 80 schwarz-weiße und 25 farbige Abbildungen
  • Format: Inbunden
  • ISBN: 9783642303661
  • Språk: Engelska
  • Antal sidor: 334
  • Utgivningsdatum: 2013-03-05
  • Förlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. K