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Constructing re-substitution entropy estimator with discontinuous kernels
2013 International Conference on Wavelet Analysis and Pattern Recognition, 2013Gaussian kernel is a continous kernel which is always used in the re-substitution entropy estimator (RSEE) to estimate the underlying entropy for the continuous random variable. Meanwhile, there are also some other discontinuous kernels that can be used to conduct the probability density function estimation and kernel regression analysis.
Cheng Xu, Su-Juan Wang, Yulin He
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Nonlinear extensions to the active subspaces method have brought remarkable results for dimension reduction in the parameter space and response surface design. We further develop a kernel-based nonlinear method. In particular we introduce it in a broader
Marco Tezzele, Gianluigi Rozza
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A discontinuous viscosity coefficient makes the jump conditions of the velocity and normal stress coupled together, which brings great challenges to some commonly used numerical methods to obtain accurate solutions. To overcome the difficulties, a kernel
Haixia Dong, Shuwang Li, Wenjun Ying
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ON DISCONTINUITY OF THE BERGMAN KERNEL FUNCTION
International Journal of Mathematics, 1999Let [Formula: see text] be a Ck-smoothly (with k≥1) bounded pseudoconvex domain and [Formula: see text] denote its Bergman kernel function. In this article the question is investigated, whether the function [Formula: see text] is continuous up to the boundary in the topology of the extended real line [Formula: see text].
Diederich, Klas, Herbort, Gregor
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A sampling theorem for transforms with discontinuous kernels
Applicable Analysis, 2004We present a sampling representation for the transform where the kernel is a solution of an nth order differential equation l (y) = λy. Here the differential expression l is defined to be l = l1 on [−1,0) and l = l2 on (0,1], l1 and l2 are in general two different nth order differential expressions.
Mahmoud Annaby, Gerhard Freiling
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A simplified discontinuous reproducing kernel method for impulsive differential equations
Applied Mathematics and ComputationLiangcai Mei, Yingzhen Lin, Boying Wu
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Kernel estimators for probability densities with discontinuities
Statistics, 1990There is studied the behaviour of kernel estimators, particularly, convergence in probability, convergence a.s.
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Treatment of discontinuity in the reproducing kernel element method
International Journal for Numerical Methods in Engineering, 2005AbstractA discontinuous reproducing kernel element approximation is proposed in the case where weak discontinuity exists over an interface in the physical domain. The proposed method can effectively take care of the discontinuity of the derivative by truncating the window function and global partition polynomials.
Hongsheng Lu, Do Wan Kim, Wing Kam Liu
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Uniform Approximation Theory for Integral Equations with Discontinuous Kernels
SIAM Journal on Numerical Analysis, 1967In effect, (1.2) provides an interpolation formula for gn (x) in terms of the gn (tnk ) . There have been many studies of this approximation method, mostly with g (x), h (x) and K (x, y) continuous for 0 < x, y < 1. Recent references include Buickner [1], [2], [3], Kantorovitch and Krylov [4], Mysovskih [5], [6], [7], Brakhage [8], Anselone and Moore ...
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Inversion of integral operators with kernels discontinuous on the diagonal
Mathematical Notes, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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