Sampling discretization in Orlicz spaces
We obtain new sampling discretization results in Orlicz norms on finite dimensional spaces. As applications, we study sampling recovery problems, where the error of the recovery process is calculated with respect to different Orlicz norms. In particular, we are interested in the recovery by linear methods in the norms close to $L^2$.
Kosov, Egor, Tikhonov, Sergey
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Finite differences for design of nonlinear discrete time oscillators
The method of finite differences is used for sampling of time in mathematical models - the differential motion equations of self-oscillatory systems of Thomson type.
V.V. Zaitsev +2 more
doaj
Discrete Hamiltonian-Assisted Metropolis Sampling
Gradient-based Markov Chain Monte Carlo methods have recently received much attention for sampling discrete distributions, with interesting connections to their continuous counterparts. For examples, there are two discrete analogues to the Metropolis-adjusted Langevin Algorithm (MALA). As motivated by Hamiltonian-Assisted Metropolis Sampling (HAMS), we
Zhou, Yuze, Tan, Zhiqiang
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Binary sampling from discrete distributions
This paper has been submitted to European Journal of Operational ...
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Chunk boundaries disrupt dependency processing in an AG: Reconciling incremental processing and discrete sampling. [PDF]
Lo CW, Meyer L.
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Online Multi-Parameter Identification for PMSM Parameter Monitoring Based on a ZOH Model and Dual-Sampling Strategy. [PDF]
He S, Xiang X, Li H, Li S, Jiang P.
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Operator-level quantum acceleration of non-logconcave sampling. [PDF]
Leng J, Ding Z, Chen Z, Lin L.
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Integrated Native Mass Spectrometry Imaging of Soluble and Membrane Proteins. [PDF]
Hale OJ, Cooper HJ.
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Acceptance and the willingness to pay for human papilloma virus (HPV) vaccine: A systematic review. [PDF]
Rajaie S +4 more
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Data-Driven System Matrix Manipulation Enabling Fast Functional Imaging in Tomography. [PDF]
Hu P, Tong X, Lin L, Wang LV.
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