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Proceedings Paper

Parallel block inversion of geophysical data
Author(s): Victor L. Pereyra
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Paper Abstract

We present an automatic blocking algorithm for some medium size nonlinear least squares problems that arise in the inversion of travel time data in geophysics. This blocking leads to a nonlinear Gauss-Seidel type iteration which can be distributed to a network of computers. The low dimensional blocks are also amenable to global optimization methods which leads to further parallelization. All this is necessary because the original problem is generally non- convex, ill-conditioned, with a goal functional that is very expensive to evaluate.

Paper Details

Date Published: 1 December 1993
PDF: 7 pages
Proc. SPIE 2033, Mathematical Methods in Geophysical Imaging, (1 December 1993); doi: 10.1117/12.164838
Show Author Affiliations
Victor L. Pereyra, Weidlinger Associates (United States)


Published in SPIE Proceedings Vol. 2033:
Mathematical Methods in Geophysical Imaging
Sergio E. Zarantonello, Editor(s)

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