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An iterative Lagrange method for the regularization of discrete ill-posed inverse problems

机译:离散不适定反问题正则化的迭代Lagrange方法

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摘要

In this paper, an iterative method is presented for the computation of regularized solutions of discrete ill-posed problems. In the proposed method, the regularization problem is formulated as an equality constrained minimization problem and an iterative Lagrange method is used for its solution. The Lagrange iteration is terminated according to the discrepancy principle. The relationship between the proposed approach and classical Tikhonov regularization is discussed. Results of numerical experiments are presented to illustrate the effectiveness and usefulness of the proposed method.
机译:本文提出了一种迭代方法,用于计算离散不适定问题的正则解。在提出的方法中,将正则化问题公式化为等式约束最小化问题,并使用迭代拉格朗日方法求解。拉格朗日迭代根据差异原理终止。讨论了所提出的方法与经典Tikhonov正则化之间的关系。数值实验结果表明了该方法的有效性和实用性。

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