Discrepancy Sets for Combined Least Squares Projection and Tikhonov Regularization
To solve a linear ill-posed problem, a combination of the finite dimensional least squares projection method and the Tikhonov regularization is considered. The dimension of the projection is treated as the second parameter of regularization. A two-parameter discrepancy principle defines a discrepan...
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Format: | Article |
Language: | English |
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Vilnius Gediminas Technical University
2017-03-01
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Series: | Mathematical Modelling and Analysis |
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Online Access: | https://journals.vgtu.lt/index.php/MMA/article/view/889 |