Overview

Addresses the common ground in the mathematical and computational procedures required for large-scale inverse problems and data assimilation in forefront applications.

Full Product Details

Author:   Mike Cullen ,  Melina A Freitag ,  Stefan Kindermann ,  Robert Scheichl
Publisher:   De Gruyter
Imprint:   De Gruyter
Volume:   13
Dimensions:   Width: 17.00cm , Height: 1.50cm , Length: 24.00cm
Weight:   0.505kg
ISBN:  

9783110282221

ISBN 10:   3110282224
Pages:   212
Publication Date:   19 August 2013
Recommended Age:   College Graduate Student
Audience:   Professional and scholarly ,  Professional & Vocational ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock  
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Table of Contents

The book will contain a selection of expository articles on large scale inverse problems in the earth sciences. These include seven survey and proceeding type articles on inverse problems and data Assimilation techniques, inverse problems in applications such as hydrology, geology, geophysics, weather prediction and imaging. Furthermore there will be reports on filter techniques and solvers for optimisation problems arising from data assimilation and inverse problems. Contributions: Roland Potthast, Melina A Freitag: Synergy of inverse problems and data assimilation techniques. Olaf A. Cirpka, Wolfgang Nowak, Ronnie L. Schwede, Wei Li: Geostatistical Approaches of Inverse Modelling in Subsurface Hydrology. Amos Lawless: Variational data assimilation for large-scale environmental problems. Martin Burger, Hendrik Dirks, Jahn Müller: Inverse problems in imaging. Sebastian Reich: Introduction to ensemble filter techniques for intermittent data assimilation. Serge Gratton, Philippe Toint: Optimisation methods for data assimilation in geosciences. Eldad Haber, Lior Horesh, Luis Tenorio: Design in inverse problems.

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Author Information

Mike Cullen, MET Office, Exeter, UK; Melina Freitag, University of Bath, UK; Stefan Kindermann, Johann Kepler University Linz, Austria; Robert Scheichl, University of Bath, UK.

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