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Abstract

A common procedure in nonlinear seismic inversion involves least squares optimization (LSO) [6,8] implemented by various Newton type iteratie algorithms [4]. Recent papers [2,3] indicate that the highorder perturbations can overcome the problems of the LSO concerning initial guess, a priori information, CPU/acquisition costs, etc. The purpose of this paper is to show how such additional constraints can be incorporated into the available LSO algorithms without their special modification.

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/content/papers/10.3997/2214-4609.201408138
1998-06-08
2024-04-28
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201408138
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