ON APPLICATION OF GENERALIZED DISCREPANCY PRINCIPLE TO ITERATIVE METHODS FOR NONLINEAR ILL-POSED PROBLEMS

By A. Bakushinsky, A. Smirnova. 2005

62 citations recorded by the source corpus.

Subfields: Computational Mechanics, Mathematical Physics, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/8320f422e3d5d06bbf364eef433a0540af3980c8

How researchers see this paper

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In Computational Mechanics

1. Mark A. Lukas
2. Frank Bauer

In Mathematical Physics

1. Mark A. Lukas
2. Frank Bauer
3. Lorenzo Rosasco

In Numerical Analysis

1. Mark A. Lukas
2. Frank Bauer

Citations in the corpus

• Comparing parameter choice methods for regularization of ill-posed problems (2011, methodology): “The discrepancy principle has also been applied to and analyzed for various iterative regularization methods for linear and nonlinear problems in the deterministic setting, including Landweber iteration, the conjugate gradient algorithm and the iteratively regularized Gauss–Newton method (see [41, 6”