Constrained optimization in seismic reflection tomography: a Gauss-Newton augmented Lagrangian approach

Seismic reflection tomography is a method for determining a subsurface velocity model from the traveltimes of seismic waves reflecting on geological interfaces. From an optimization viewpoint, the problem consists in minimizing a non-linear least-squares function measuring the mismatch between obser...

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Bibliographic Details
Published in:	Geophysical journal international Vol. 164; no. 3; pp. 670 - 684
Main Authors:	Delbos, F., Gilbert, J. Ch, Glowinski, R., Sinoquet, D.
Format:	Journal Article
Language:	English
Published:	Oxford, UK Blackwell Publishing Ltd 01.03.2006 Blackwell Science Ltd Oxford University Press (OUP)
Subjects:	Algorithms augmented Lagrangian constrained optimization Earth Sciences Geology least-squares approach Mathematical models Optimization ray tracing Reflection Sciences of the Universe Seismic engineering Seismic phenomena seismic reflection tomography SQP algorithm Tomography augmented Lagrangian least-squares approach ray tracing SQP algorithm constrained optimization seismic reflection tomography
ISSN:	0956-540X, 1365-246X
Online Access:	Get full text
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