Compression approaches for the regularized solutions of linear systems from large-scale inverse problems

We introduce and compare new compression approaches to obtain regularized solutions of large linear systems which are commonly encountered in large scale inverse problems. We first describe how to approximate matrix vector operations with a large matrix through a sparser matrix with fewer nonzero el...

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Bibliographic Details
Main Authors: Voronin, Sergey, Nolet, Guust, Mikesell, T. Dylan
Other Authors: Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Format: Article
Language:English
Published: Springer Berlin Heidelberg 2016
Online Access:http://hdl.handle.net/1721.1/103987