رکورد قبلیرکورد بعدی

" Data assimilation : "


Document Type : BL
Record Number : 854434
Main Entry : Asch, Mark
Title & Author : Data assimilation : : methods, algorithms, and applications /\ Mark Asch, Université de Picardie Jules Verne, Amiens, France, Marc Bocquet, École des Ponts ParisTech/CEREA, Marne la Vallée, France, Maëlle Nodet, Université Grenoble Alpes, Grenoble, France.
Publication Statement : Philadelphia :: Society for Industrial and Applied Mathematics,, [2016]
Series Statement : Fundamentals of algorithms ;; 11
Page. NO : 1 Online-Ressource
ISBN : 1611974542
: : 9781611974546
Notes : 1612.
Abstract : 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.
Subject : Datenassimilation
Subject : Inverses Problem
Subject : Kalman-Filter
LC Classification : ‭QA378.5‬
NLM classification : ‭MAT 679f‬stub
Added Entry : Bocquet, Marc, 1969-
: Nodet, Maëlle
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