Discrepancy principles for Tikhonov regularization of ill-posed problems leading to optimal convergence rates (Q1071480)
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scientific article; zbMATH DE number 3940630
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Discrepancy principles for Tikhonov regularization of ill-posed problems leading to optimal convergence rates |
scientific article; zbMATH DE number 3940630 |
Statements
Discrepancy principles for Tikhonov regularization of ill-posed problems leading to optimal convergence rates (English)
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1987
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We propose a class of a posteriori parameter choice strategies for Tikhonov regularization (including variants of Morozov's and Arcangeli's methods) that lead to optimal convergence rates toward the minimal-norm least-squares solution of an ill-posed linear operator equation in the presence of noisy data.
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a posteriori parameter choice strategies
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Tikhonov regularization
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optimal convergence rates
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minimal-norm
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least-square solution
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ill- posed
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noisy data
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discrepancy principle
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