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Large Scale Inverse Problems: Computational Methods and Applications in the Earth Sciences: Radon Series on Computational and Applied Mathematics, cartea 13

Editat de Mike Cullen, Melina A Freitag, Stefan Kindermann, Robert Scheichl
en Mixed media product – 28 aug 2013
This book is thesecond volume of three volume series recording the "Radon Special Semester 2011 on Multiscale Simulation & Analysis in Energy and the Environment" taking place in Linz, Austria, October 3-7, 2011. The volume addresses the common ground in the mathematical and computational procedures required for large-scale inverse problems and data assimilation in forefront applications.
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Specificații

ISBN-13: 9783110282276
ISBN-10: 3110282275
Ilustrații: Includes a print version and an ebook
Dimensiuni: 170 x 240 mm
Ediția:
Editura: De Gruyter
Seria Radon Series on Computational and Applied Mathematics

Locul publicării:Berlin/Boston

Notă biografică

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.

Cuprins

AD>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.