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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.
Decomposition (Mathematics). --- Mathematics. --- Programming (Mathematics). --- Parameter estimation --- Differential equations --- Simulation methods --- Mathematics --- Physical Sciences & Mathematics --- Calculus --- Mathematical Statistics --- Stochastic systems. --- Parameter estimation. --- Systems, Stochastic --- Differential equations. --- Partial differential equations. --- Computer mathematics. --- Numerical analysis. --- Mathematical models. --- Calculus of variations. --- Ordinary Differential Equations. --- Partial Differential Equations. --- Numerical Analysis. --- Computational Science and Engineering. --- Mathematical Modeling and Industrial Mathematics. --- Calculus of Variations and Optimal Control; Optimization. --- Stochastic processes --- System analysis --- Estimation theory --- Stochastic systems --- Differential Equations. --- Differential equations, partial. --- Computer science. --- Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Partial differential equations --- 517.91 Differential equations --- Informatics --- Science --- Isoperimetrical problems --- Variations, Calculus of --- Models, Mathematical --- Computer mathematics --- Electronic data processing
Choose an application
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.
Partial differential equations --- Differential equations --- Numerical methods of optimisation --- Operational research. Game theory --- Numerical analysis --- Mathematics --- Planning (firm) --- Computer science --- differentiaalvergelijkingen --- computers --- informatica --- mathematische modellen --- wiskunde --- informaticaonderzoek --- kansrekening --- computerkunde --- numerieke analyse --- optimalisatie
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