A posteriori parameter choice for general regularization methods for solving linear ill-posed problems

Author:

Engl Heinz W.,Gfrerer Helmut

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics,Numerical Analysis

Reference14 articles.

1. Non-linear Parametic Optimization;Bank,1982

2. Necessary and sufficient conditions for convergence of regularization methods for solving linear operator equations of the first kind;Engl;Numer. Funct. Anal. Optim.,1981

3. Discrepancy principles for Tikhonov regularization of ill-posed problems leading to optimal convergence rates;Engl;J. Optim. Theory Appl.,1987

4. On the choice of the regularization parameter for iterated Tikhonov regularization of ill-posed problems;Engl;J. Approx. Theory,1987

5. Optimal parameter choice for ordinary and iterated Tikhonov regularization;Engl,1987

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