Results 31 to 40 of about 1,273,558 (290)
Towards the selectivity distinction of phenol hydrogenation on noble metal catalysts
Nano Materials Science, 2023 Selective hydrogenation of phenol to cyclohexanone is intriguing in chemical industry. Though a few catalysts with promising performances have been developed in recent years, the basic principle for catalyst design is still missing owing to the unclear ...
Shanjun Mao +9 more
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Stress analysis of aspherical TRISO-coated particle with X-ray computed tomography
Nuclear Materials and Energy, 2023 The failure probability of TRISO-coated particle is directly dependent on the asphericity and the layer thickness. Local asphericity of the SiC layer will contribute to the concentrated stress region, increasing failure probability of the particle.
Libing Zhu +2 more
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One-bit sensing, discrepancy and Stolarsky's principle
Sbornik: Mathematics, 2017 18 pages.
Bilyk, Dmitry, Lacey, Michael T.
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A discrepancy principle for equations with monotone continuous operators [PDF]
Nonlinear Analysis: Theory, Methods & Applications, 2009 A discrepancy principle for solving nonlinear equations with monotone operators given noisy data is formulated. The existence and uniqueness of the corresponding regularization parameter $a(δ)$ is proved. Convergence of the solution obtained by the discrepancy principle is justified.
Hoang, N. S., Ramm, A. G.
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Morozov's Discrepancy Principle under General Source Conditions
Zeitschrift für Analysis und ihre Anwendungen, 2003 In this paper we study linear ill-posed problems Ax = y in a Hilbert space setting where instead of exact data y noisy data y^\delta are given satisfying
Nair, M. Thamban +2 more
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Smoothed discrepancy principle as an early stopping rule in RKHS [PDF]
, 2019 In this paper we work on the estimation of a regression function that belongs to a polynomial decay reproducing kernel Hilbert space (RKHS). We describe spectral filter framework for our estimator that allows us to deal with several iterative algorithms: gradient descent, Tikhonov regularization, etc.
Averyanov, Yaroslav, Celisse, Alain
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Discrepancy Principle and Stable Parameter Estimation in Avian Influenza [PDF]
, 2014 In the case of a linear ill-posed problem with noisy data, a version of an a posteriori parameter selection discrepancy principle (DP) is justified for an arbitrary regularization strategy under very general assumptions on the operator and the stabilizer.
DeCamp, Linda
core +1 more source
Improved Discrepancy Bounds and Estimates
, 2021 Error estimation in Monte-Carlo integration is related to the star discrepancy of random point sets. We will present latest results for (probabilistic) upper bounds of the star discrepancy which are based on major improvements on bounds of bracketing ...
Pasing, Hendrik
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Constrained Plug-and-Play Priors for Image Restoration
Journal of ImagingThe Plug-and-Play framework has demonstrated that a denoiser can implicitly serve as the image prior for model-based methods for solving various inverse problems such as image restoration tasks.
Alessandro Benfenati, Pasquale Cascarano
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How to GAN away detector effects
SciPost Physics, 2020 LHC analyses directly comparing data and simulated events bear the danger of using first-principle predictions only as a black-box part of event simulation.
Marco Bellagente, Anja Butter, Gregor Kasieczka, Tilman Plehn, Ramon Winterhalder
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