Results 191 to 200 of about 101,252 (223)
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Tikhonov regularization of metrically regular inclusions

Positivity, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gaydu, Michaël, Geoffroy, Michel H.
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Tikhonov Regularization of Large Linear Problems

BIT Numerical Mathematics, 2003
The authors present a new numerical method for computing regularized solutions of Tikhonov regularization applied to large scale discrete linear ill-posed problems. The method is based on Lanczos bidiagonalization and Gauss quadrature. For choosing the regularization parameter the discrepancy principle is used.
Calvetti, Daniela, Reichel, Lothar
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Tikhonov regularization of large symmetric problems

Numerical Linear Algebra with Applications, 2004
AbstractMany popular solution methods for large discrete ill‐posed problems are based on Tikhonov regularization and compute a partial Lanczos bidiagonalization of the matrix. The computational effort required by these methods is not reduced significantly when the matrix of the discrete ill‐posed problem, rather than being a general nonsymmetric matrix,
Daniela Calvetti   +2 more
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Tikhonov regularization with nonnegativity constraint

2004
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D. CALVETTI   +3 more
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Training with Noise is Equivalent to Tikhonov Regularization

Neural Computation, 1995
It is well known that the addition of noise to the input data of a neural network during training can, in some circumstances, lead to significant improvements in generalization performance. Previous work has shown that such training with noise is equivalent to a form of regularization in which an extra term is added to the error function. However, the
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On Krylov projection methods and Tikhonov regularization [PDF]

open access: possible, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gazzola S, Novati P, Russo M.R.
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On the Tikhonov regularization of affine pseudomonotone mappings

Optimization Letters, 2013
The author gives some characterizations of the pseudomonotonicity in connection with the affine mappings on a nonempty closed convex subset \(K\subset \mathbb{R}^n\) and the non-negative orthant \(\mathbb{R}^{n}_{+}\), respectively. The author describes a class of affine pseudomonotone mappings whose regularized operators are not pseudomonotone.
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Tikhonov Regularization

2000
Heinz W. Engl   +2 more
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Recursive filtering 2D Tikhonov regularization

2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2022
Hermes H. Ferreira, Eduardo S. L. Gastal
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Tikhonov Regularization

2013
Richard C. Aster   +2 more
openaire   +1 more source

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