A polarization tensor approximation for the Hessian in iterative solvers for non-linear inverse problems
A polarization tensor approximation for the Hessian in iterative solvers for non-linear inverse problems
复制标题
非线性反问题迭代求解器中 Hessian 矩阵的偏振张量近似
DOI:
10.1080/17415977.2021.1951722
复制
发表时间:
2021
影响因子:
1.3
通讯作者:
Watson F
中科院分区:
文献类型:
--
作者:
Watson F
For many inverse parameter problems for partial differential equations in which the domain contains only well-separated objects, an asymptotic solution to the forward problem involving ‘polarization tensors’ exists. These are functions of the size and material contrast of inclusions, thereby describing the saturation component of the non-linearity. In this paper, we show how such an asymptotic series can be applied to non-linear least-squares reconstruction problems, by deriving an approximate diagonal Hessian matrix for the data misfit term. Often, the Hessian matrix can play a vital role in dealing with the non-linearity, generating good update directions which accelerate the solution towards a global minimum, but the computational cost can make direct calculation infeasible. Since the polarization tensor approximation assumes sufficient separation between inclusions, our approximate Hessian does not account for non-linearity in the form of lack of superposition in the inverse problem. It does, however, account for the non-linear saturation of the change in the data with increasing material contrast. We, therefore, propose to use it as an initial Hessian for quasi-Newton schemes. We present numerical experimentation into the accuracy and reconstruction performance of the approximate Hessian for the case of electrical impedance tomography, providing a proof of principle of the reconstruction scheme.
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DOI:
--
发表时间:
2013
期刊:
影响因子:
--
作者:
T. Bui;O. Ghattas
通讯作者:
O. Ghattas
影响因子:
1.2
作者:
P. Ledger;W. Lionheart
通讯作者:
P. Ledger;W. Lionheart
影响因子:
1.9
作者:
D. Dobson
通讯作者:
D. Dobson
DOI:
10.1016/j.cma.2012.02.015
发表时间:
2012-06
影响因子:
7.2
作者:
P. Ledger
通讯作者:
P. Ledger
DOI:
--
发表时间:
2012
期刊:
影响因子:
--
作者:
T. Bui;O. Ghattas
通讯作者:
O. Ghattas