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math.NA2017★ 6 cited
Stopping criterion for iterative regularization of large-scale ill-posed problems using the Picard parameter
Eitan Levin, Alexander Y. Meltzer
We propose a new stopping criterion for Krylov subspace iterative regularization of large-scale ill-posed inverse problems. Our stopping criterion accurately filters the data using…
math.NA2016★ 11 cited
Estimation of the Regularization Parameter in Linear Discrete Ill-Posed Problems Using the Picard parameter
Eitan Levin, Alexander Y. Meltzer
Accurate determination of the regularization parameter in inverse problems still represents an analytical challenge, owing mainly to the considerable difficulty to separate the unk…