Results 191 to 200 of about 7,882 (230)

Resolution-enhanced transport of intensity phase imaging using contrast transfer function reformulation and SNR-guided deconvolution. [PDF]

Biomed Opt Express
Shanmugavel SC, Zhu Y.
europepmc   +1 more source

Axial X-Ray Microscopy in Nanotomography. [PDF]

Tomography
Gaikovich KP, Malyshev IV, Reunov DG, Chkhalo NI.   +3 more
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Deep learning for atrial electrogram estimation: toward non-invasive arrhythmia mapping using variational autoencoders. [PDF]

Front Physiol
Gutiérrez-Fernández M, López-Linares K, Fambuena-Santos C, Guillem MS, Climent AM, Barquero-Pérez Ó.   +5 more
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Improving the robustness of the immersed interface method through regularized velocity reconstruction. [PDF]

J Comput Phys
Sun Q, Kolahdouz EM, Griffith BE.
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Tikhonov Regularization and Randomized GSVD

SIAM Journal on Matrix Analysis and Applications, 2016
Summary: The generalized singular value decomposition (GSVD) is one of the essential tools in numerical linear algebra. This paper proposes a regularization method, combining Tikhonov regularization in general form with the truncated GSVD. Then the randomized algorithms are adopted to implement the truncation process.
Yimin Wei, Pengpeng Xie, Li-Ping Zhang   +2 more
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A Regularization Parameter for Nonsmooth Tikhonov Regularization

SIAM Journal on Scientific Computing, 2011
In this paper we develop a novel rule for choosing regularization parameters in nonsmooth Tikhonov functionals. It is solely based on the value function and applicable to a broad range of nonsmooth models, and it extends one known criterion. A posteriori error estimates of the approximations are derived.
Kazufumi Ito, Bangti Jin, Tomoya Takeuchi   +2 more
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On simplified Tikhonov regularization

Journal of Optimization Theory and Applications, 1988
Approximations to the minimal norm, least-square solution of a linear equation with positive semidefinite operator are defined in such a way that fewer computations are needed than in Tikhonov's approach. We establish necessary and sufficient conditions for convergence, and we provide a choice for the regularization parameter \(\alpha\) that brings the
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The Tikhonov regularization for vector equilibrium problems

Computational Optimization and Applications, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lam Quoc Anh, Tran Quoc Duy, Le Dung Muu, Truong Van Tri   +3 more
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Augmented Tikhonov regularization

Inverse Problems, 2008
This paper proposes a regularizing functional of Tikhonov type that determines the regularization parameter and the noise level along with the solutions for linear inverse problems in the Bayesian framework. The existence of minimizers to the functional is shown, and properties of the minimizers are studied.
Bangti Jin, Jun Zou
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Tikhonov regularization of metrically regular inclusions

Positivity, 2008
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Gaydu, Michaël, Geoffroy, Michel H.
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