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Titlebook: Wavefield Inversion; Armand Wirgin Conference proceedings 1999 Springer-Verlag Wien 1999 construction.electromagnetic wave.evaluation.geop

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發(fā)表于 2025-3-27 00:00:37 | 只看該作者
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發(fā)表于 2025-3-27 05:58:02 | 只看該作者
Inverse Scattering with Acoustic, Electromagnetic, and Elastic Waves as Applied in Nondesctructive and inverse scattering problem of acoustic, electromagnetic and elastic waves, even though the underlying physics is quite different. In this presentation we will take advantage of these similarities.
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發(fā)表于 2025-3-27 12:57:09 | 只看該作者
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發(fā)表于 2025-3-27 15:54:04 | 只看該作者
Inverse Problems in Geophysics,ans for computing the data values given a model. This is called the “forward problem”, see figure 1. In the inverse problem, the aim is to reconstruct the model from a set of measurements. In the ideal case, an exact theory exists that prescribes how the data should be transformed in order to reprod
36#
發(fā)表于 2025-3-27 21:13:06 | 只看該作者
Reconstruction of Media Posed as an Optimization Problem,n of the shape. location and constitutive parameters, such as complex index of refraction or local sound speed, of a local inhomogeneity from measurements of the scattered field when a monochromatic wave is incident upon the inhomogeneity. One class of methods of attacking this problem is based on m
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Some Quasi-Analytic and Numerical Methods for Acoustical Imaging of Complex Media,d herein. The rigorous (and near-rigorous) methods, which are very computer-intensive, involve solving linear (for the field) and non linear (for the boundary and composition parameters) boundary integral (BIE) and domain integral equations (DIE). The only way to reduce the computational volume, in
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發(fā)表于 2025-3-28 12:30:03 | 只看該作者
Conference proceedings 1999agnetic waves. Descriptions will be given of traditional (but still in use and subject to on-going improvements) and more recent methods for identifying either:a) the homogenized material parameters of (spatially) unbounded or bounded heterogeneous media, orb) the detailed composition (spatial distr
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