The book provides a concise introduction into inverse modeling, i.e the theory and methods of inverse problems and data assimilation.
Inverse problems are widely spread today in science and technology, ranging from data analysis and modeling in science to remote
sensing in industrial and natural applications as well as medical imaging and non-destructive testing. Further applications come from the
data assimilation task, i.e. the use of inverse methods to control dynamical systems and provide initial states for forecasting, which is of
central importance in weather and climate science and an emerging technique in neuroscience and medicine.
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Gen Nakamura is currently Harim Professor at Inha University, S. Korea, and Professor Emeritus of Hokkaido University, Japan. Roland Potthast currently leads the division for data assimilation at the German Meteorological Service, Frankfurt/Offenbach, with a part-time professorship in mathematics at the University of Reading, UK.
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Buch. Zustand: Neu. Neuware - This book provides a comprehensive introduction to the techniques, tools and methods for inverse problems and data assimilation, and is written at the interface between mathematics and applications for students, researchers and developers in mathematics, physics, engineering, acoustics, electromagnetics, meteorology, biology, environmental and other applied sciences. Basic analytic questions and tools are introduced, as well as a wide variety of concepts, methods and approaches to formulate and solve inverse problems. OCTAVE /MATLAB(R) codes are included, which serve as a first step towards simulations and more sophisticated inversion or data assimilation algorithms. Artikel-Nr. 9780750312196
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