Cubically convergent methods for selecting the regularization parameters in linear inverse problems (Q1023031)

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scientific article; zbMATH DE number 5563876
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Cubically convergent methods for selecting the regularization parameters in linear inverse problems
scientific article; zbMATH DE number 5563876

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    Cubically convergent methods for selecting the regularization parameters in linear inverse problems (English)
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    10 June 2009
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    The authors present three cubically convergent methods for choosing the regularization parameters in linear inverse problems. The basic tools are Tikhonov's regularization and Morozov's discrepancy principle.
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    choice of regularization parameter
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    iterative method
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    cubic convergence
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    linear inverse problems
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    Tikhonov's regularization
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    Morozov's discrepancy principle
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