Approximate Inverse Circulant-plus-Diagonal Preconditioners for Toeplitz-plus-Diagonal Matrices

Approximate Inverse Circulant-plus-Diagonal Preconditioners for Toeplitz-plus-Diagonal Matrices
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Toeplitz 加对角矩阵的近似逆循环加对角预处理器

DOI:
10.1137/080720280
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发表时间:
2010-04
期刊:
SIAM J. Scientific Computing
影响因子:
--
通讯作者:
J.Y. Pan
J.Y. Pan
中科院分区:
其他
文献类型:
--
作者:
M.K. Ng;J.Y. Pan

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考虑厄米特正定Toeplitz加对角方程组$(T+D)x=b$的解,其中$T$是Toeplitz矩阵,$D是对角正的。然而,与Toeplitz系统不同的是,还没有开发出快速的直接求解器来求解它们。本文采用近似逆循环加对角线预条件的预条件共轭梯度法来求解这类方程组。所提出的预处理器可以使用快速傅立叶变换有效地构造和实现。我们证明了,如果$T$的项以指数形式远离主对角线,则应用于预条件系统的预条件共轭梯度法收敛得非常快。给出了包括空间正则化在内的图像反卷积应用的数值例子,以说明所提出的预条件算子的有效性。
We consider the solutions of Hermitian positive definite Toeplitz-plus-diagonal systems $(T+D)x=b$, where $T$ is a Toeplitz matrix and $D$ is diagonal and positive. However, unlike the case of Toeplitz systems, no fast direct solvers have been developed for solving them. In this paper, we employ the preconditioned conjugate gradient method with approximate inverse circulant-plus-diagonal preconditioners to solving such systems. The proposed preconditioner can be constructed and implemented efficiently using fast Fourier transforms. We show that if the entries of $T$ decay away exponentially from the main diagonals, the preconditioned conjugate gradient method applied to the preconditioned system converges very quickly. Numerical examples including spatial regularization for image deconvolution application are given to illustrate the effectiveness of the proposed preconditioner.
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影响因子: 1.9
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