Data Assimilation Methods Algorithms and Applications is popular PDF and ePub book, written by Mark Asch in 2016-12-29, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Data Assimilation Methods Algorithms and Applications can be Read Online from any device for your convenience.
Data Assimilation Methods Algorithms and Applications Book PDF Summary
Data assimilation is an approach that combines observations and model output, with the objective of improving the latter. This book places data assimilation into the broader context of inverse problems and the theory, methods, and algorithms that are used for their solution. It provides a framework for, and insight into, the inverse problem nature of data assimilation, emphasizing why and not just how. Methods and diagnostics are emphasized, enabling readers to readily apply them to their own field of study. Readers will find a comprehensive guide that is accessible to nonexperts; numerous examples and diverse applications from a broad range of domains, including geophysics and geophysical flows, environmental acoustics, medical imaging, mechanical and biomedical engineering, economics and finance, and traffic control and urban planning; and the latest methods for advanced data assimilation, combining variational and statistical approaches.
Detail Book of Data Assimilation Methods Algorithms and Applications PDF
- Author : Mark Asch
- Release : 29 December 2016
- Publisher : SIAM
- ISBN : 9781611974546
- Genre : Mathematics
- Total Page : 310 pages
- Language : English
- PDF File Size : 19,7 Mb
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