TY - BOOK ID - 14307565 TI - Model based parameter estimation : theory and applications AU - Bock, Hans Georg. AU - Carraro, Thomas. AU - Jäger, Willi. AU - Körkel, Stefan. AU - Rannacher, Rolf. AU - Schlöder, Johannes P. PY - 2013 VL - v. 4 SN - 3642303668 3642440762 3642303676 1299336647 PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - Decomposition (Mathematics). KW - Mathematics. KW - Programming (Mathematics). KW - Parameter estimation KW - Differential equations KW - Simulation methods KW - Mathematics KW - Physical Sciences & Mathematics KW - Calculus KW - Mathematical Statistics KW - Stochastic systems. KW - Parameter estimation. KW - Systems, Stochastic KW - Differential equations. KW - Partial differential equations. KW - Computer mathematics. KW - Numerical analysis. KW - Mathematical models. KW - Calculus of variations. KW - Ordinary Differential Equations. KW - Partial Differential Equations. KW - Numerical Analysis. KW - Computational Science and Engineering. KW - Mathematical Modeling and Industrial Mathematics. KW - Calculus of Variations and Optimal Control; Optimization. KW - Stochastic processes KW - System analysis KW - Estimation theory KW - Stochastic systems KW - Differential Equations. KW - Differential equations, partial. KW - Computer science. KW - Mathematical optimization. KW - Optimization (Mathematics) KW - Optimization techniques KW - Optimization theory KW - Systems optimization KW - Mathematical analysis KW - Maxima and minima KW - Operations research KW - Partial differential equations KW - 517.91 Differential equations KW - Informatics KW - Science KW - Isoperimetrical problems KW - Variations, Calculus of KW - Models, Mathematical KW - Computer mathematics KW - Electronic data processing UR - https://www.unicat.be/uniCat?func=search&query=sysid:14307565 AB - 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. ER -