Model Based Parameter Estimation: Theory and Applications

Hans Georg Bock (Curatore)

Thomas Carraro (Curatore)

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2015

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.

• Curatore: Hans Georg Bock, Thomas Carraro
• Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Collana: Contributions in Mathematical and Computational Sciences
• Anno: 2015
• Rilegatura: Paperback / softback
• Pagine: 334 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783642440762

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