Items related to Inverse Modeling: An Introduction (Iop Expanding Physics)
Synopsis
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.
"synopsis" may belong to another edition of this title.
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Inverse Modeling: An Introduction
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Inverse Modelling : An Introduction to the Theory and Methods of Inverse Problems and Data Assimilation
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Inverse Modelling : An Introduction to the Theory and Methods of Inverse Problems and Data Assimilation
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Inverse Modeling: An Introduction
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Inverse Modeling: An introduction to the theory and methods of inverse problems and data assimilation
Published by
Institute of Physics Publishing, 2016
ISBN 10: 075031219X
ISBN 13: 9780750312196
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Inverse Modeling
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Institute of Physics Publishing, GB, 2015
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ISBN 13: 9780750312196
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Hardback. Condition: New. 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 /MATLABŪ codes are included, which serve as a first step towards simulations and more sophisticated inversion or data assimilation algorithms. Seller Inventory # LU-9780750312196
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