Under a new tangent cone condition and standard assumptions, the noise-contaminated iterates of LMMSS stopped by the discrepancy principle converge to a solution of the exact problem as noise tends to zero.
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On the regularization property of Levenberg-Marquardt method with Singular Scaling for nonlinear inverse problems
Under a new tangent cone condition and standard assumptions, the noise-contaminated iterates of LMMSS stopped by the discrepancy principle converge to a solution of the exact problem as noise tends to zero.