NANAAug 3, 2008

On Steepest-Descent-Kaczmarz Methods for Regularizing Systems of Nonlinear Ill-posed Equations

arXiv:0801.30885.159 citationsh-index: 49
Originality Synthesis-oriented
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Provides a convergent regularization method for nonlinear ill-posed problems, but the results are incremental and limited to specific test cases.

The paper proposes a modified steepest descent method with a loping Kaczmarz strategy for regularizing nonlinear ill-posed systems, proving convergence as a regularization method. Numerical tests on photoacoustic tomography and semiconductor device testing demonstrate applicability.

We investigate modified steepest descent methods coupled with a loping Kaczmarz strategy for obtaining stable solutions of nonlinear systems of ill-posed operator equations. We show that the proposed method is a convergent regularization method. Numerical tests are presented for a linear problem related to photoacoustic tomography and a non-linear problem related to the testing of semiconductor devices.

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