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Iterative Algorithms for Coupled Physics Electrical Conductivity Imaging

机译:耦合物理电导率成像的迭代算法

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Coupled Physics Electrical Conductivity Imaging is a group of new imaging modalities in which the electrical conductivity is recovered from the interior data. In this talk the inverse conductivity problem of Current Density Impedance Imaging (CDII) is considered. The vari-ational approach is applied to solve this problem, and the corresponding weighted least gradient problems are analyzed for the Dirichlet and Robin boundary conditions. Three iterative algorithms for constructing the minimizing sequences for the weighted gradient functionals are presented. Their computational effectiveness is demonstrated in numerical experiments. The presentation is based on some results of a long-term project that has been pursued in collaboration with A. Nachman (University of Toronto, Canada) and A. Tamasan (University of Central Florida, USA).
机译:耦合物理电导率成像是一组新的成像方式,其中从内部数据中恢复电导率。在本次演讲中,我们将考虑电流密度阻抗成像(CDII)的反电导率问题。应用变分方法来解决该问题,并针对Dirichlet和Robin边界条件分析了相应的加权最小梯度问题。提出了三种迭代算法来构造加权梯度函数的最小化序列。数值实验证明了它们的计算有效性。该演示文稿基于与A. Nachman(加拿大多伦多大学)和A. Tamasan(美国中央佛罗里达大学)合作进行的长期项目的一些结果。

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