Large Scale Inverse Problems ― Computational Methods and Applications in the Earth Sciences

Five invited expository articles from an October 2011 workshop in Linz, Austria discuss the processing and handling of large scale data and models in earth sciences, and the efficient extraction of the relevant information from them. They cover the synergy of inverse problems and data assimilation techniques, variational data assimilation for very large environmental problems, ensemble filter techniques for intermittent data assimilation, inverse problems in imaging, and the lost honor of l2-based regularization. They are not indexed. Annotation c2013 Book News, Inc., Portland, OR (booknews.com)

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.