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Data-Driven Numerical Modelling in Geodynamics: Methods and Applications (SpringerBriefs in Earth Sciences)
Alik Ismail-Zadeh, Alexander Korotkii, Igor Tsepelev
[PDF.jd59] Data-Driven Numerical Modelling in Geodynamics: Methods and Applications (SpringerBriefs in Earth Sciences)
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| #6507402 in Books | 2016-05-27 | 2016-05-27 | Original language:English | PDF # 1 | 9.25 x.28 x6.10l,.0 | File type: PDF | 105 pages||From the Back Cover|This book describes the methods and numerical approaches for data assimilation in geodynamical models and presents several applications of the described methodology in relevant case studies. The book starts with a brief overview of the basic
This book describes the methods and numerical approaches for data assimilation in geodynamical models and presents several applications of the described methodology in relevant case studies. The book starts with a brief overview of the basic principles in data-driven geodynamic modelling, inverse problems, and data assimilation methods, which is then followed by methodological chapters on backward advection, variational (or adjoint), and quasi-reversibility methods....
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