The method of regularized successive iterations for coupled physics conductivity imaging from a single internal data

The method of regularized successive iterations for coupled physics conductivity imaging from a single internal data
复制标题

单个内部数据耦合物理电导率成像的正则连续迭代方法

DOI:
10.1016/j.apnum.2019.08.006
复制
发表时间:
2020
影响因子:
2.8
通讯作者:
Timonov, A.
Timonov, A.
中科院分区:
数学2区
文献类型:
--
作者:
Tamasan, A.;Timonov, A.

文献摘要

参考文献

相似文献

我们考虑在耦合物理电导率成像中出现的逆电导率问题的数值解。基于正则化加权最小梯度Robin问题,提出并发展了正则化逐次迭代方法。与现有的数值技术不同,主要的新奇在于,从单个内部数据恢复电导率不需要边界数据。通过耦合物理电导率成像的计算机模拟,证明了所提出的方法的性能。
We consider the numerical solution of an inverse conductivity problem that arises in coupled physics conductivity imaging. We propose and develop the method of regularized successive iterations based on a regularized weighted least gradient Robin problem. Unlike the existing numerical techniques, the main novelty is that recovering the electrical conductivity from a single internal data does not require the boundary data. The performance of the proposed method is demonstrated by computer simulations of coupled physics conductivity imaging.
DOI: 10.1007/s00526-017-1274-x
发表时间: 2018-02
影响因子: 2.1
作者:
Amir Moradifam;A. Nachman;A. Tamasan
通讯作者: Amir Moradifam;A. Nachman;A. Tamasan
DOI: 10.1088/1361-6420/aaf2fd
发表时间: 2018-04
期刊: Inverse Problems
影响因子: 2.1
作者:
A. Tamasan;A. Timonov
通讯作者: A. Tamasan;A. Timonov
DOI: 10.32523/2306-3172-2014-2-2-5-29
发表时间: 2014
影响因子: 5.4
作者:
A. Tamasan;A. Timonov
通讯作者: A. Timonov
从不完整数据重建子域中的平面电导率
DOI: 10.1137/10079241x
发表时间: 2010
期刊: SIAM J. Appl. Math.
影响因子: --
作者:
A. Nachman;A. Tamasan;A. Timonov
通讯作者: A. Timonov
DOI: 10.1137/040605412
发表时间: 2005-01-01
影响因子: 1.6
作者:
Osher, S;Burger, M;Yin, WT
通讯作者: Yin, WT