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Choosing Regularization Parameters in Iterative Methods for Ill-Posed Problems
Numerical solution of ill-posed problems is often accomplished by discretization (projection onto a finite dimensional subspace) followed by regularization. If the discrete problem has high dimension, though, typically ...
Pivoted Cauchy-like Preconditioners for Regularized Solution of Ill-Posed Problems
Many ill-posed problems are solved using a discretization that results in a least squares problem or a linear system involving a Toeplitz matrix. The exact solution to such problems is often hopelessly contaminated by ...