%0 Conference Paper
%A Cuer, Michel
%A Duffet, Carole
%A Ivorra, Benjamín Pierre Paul
%A Mohammadi, Bijan
%T Quantifying Uncertainties in Seismic Tomography
%D 2005
%U https://hdl.handle.net/20.500.14352/54004
%X Reflection tomography allows the determination of a velocity model that fits the traveltime data associated with reflections of seismic waves in the subsurface. The resulting nonlinear optimization problem is solved classically by a Gauss-Newton method based on successive linearizations of the forward operator. A linearized a posteriori analysis is possible in a Bayesian framework. In this presentation, we compare the results obtained by such technique, the ones obtained by a linear programming based method and the others by a global optimization approach
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