Model Based Parameter Estimation

Hans Georg Bock

ISBN 10: 3642303668 / ISBN 13: 9783642303661

Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Mär 2013, 2013

Beschreibung

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 344 pp. Englisch.

Bestandsnummer des Verkäufers 9783642303661

Bibliografische Details

• Titel: Model Based Parameter Estimation
• Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Mär 2013
• Erscheinungsjahr: 2013
• Sprache: Englisch
• ISBN-10: 3642303668
• ISBN-13: 9783642303661
• Einband: Buch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.