Results 21 to 30 of about 119,617,328 (270)
The spaces of exponential type vectors of complex degrees of positive operators
New classes of interpolation spaces of exponential type vectors of complex degrees of positive operators are defined. Properties of the approximation spaces generated by the considered interpolation spaces are investigated.
M. I. Dmytryshyn
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These proceedings are based on the international conference Approximation Theory XVI held on May 19–22, 2019 in Nashville, Tennessee. The conference was the sixteenth in a series of meetings in Approximation Theory held at various locations in the United
Fasshauer, Gregory +2 more
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Interpolation Of 2d Banach Spaces And Multiparametric Approximation
A multiparametric approximation theory via certain inequalities of Jackson and Bernstein type is developed. An approximation space is defined and it is shown that it is actually an interpolation space among 2d Banach spaces.
Fernandez D.L., FERNANDEZ, DL
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On the steady‐state performance of bias‐compensated LMS algorithm
Adaptive filtering algorithms are widespread today owing to their flexibility and simplicity. Due to environments in which they are normally immersed, their robustness against noise has been a topic of interest.
Rodrigo Pimenta +3 more
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Convergence theory for the exact interpolation scheme with approximation vector as the first column of the prolongator and Rayleigh quotient iteration nonlinear smoother [PDF]
We extend the analysis of the recently proposed nonlinear EIS scheme applied to the partial eigenvalue problem. We address the case where the Rayleigh quotient iteration is used as the smoother on the fine-level. Unlike in our previous theoretical results, where the smoother given by the linear inverse power method is assumed, we prove nonlinear speed ...
Ivana Pultarová, Petr Vaněk
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Solving Poisson Equations by the MN-Curve Approach
In this paper, we adopt the choice theory of the shape parameters contained in the smooth radial basis functions to solve Poisson equations. Luh’s choice theory, based on harmonic analysis, is mathematically complicated and applies only to function ...
Lin-Tian Luh
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Approximation Theory XV: San Antonio 2016 [PDF]
These proceedings are based on papers presented at the international conference Approximation Theory XV, which was held May 22–25, 2016 in San Antonio, Texas.
Santin, Gabriele +4 more
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Quadratic Interpolation and Linear Lifting Design
A quadratic image interpolation method is stated. The formulation is connected to the optimization of lifting steps. This relation triggers the exploration of several interpolation possibilities within the same context, which uses the theory of convex ...
Joel Solé, Philippe Salembier
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Some Notes on Error Analysis for Kernel Based Regularized Interpolation
Kernel based regularized interpolation is one of the most important methods for approximating functions. The theory behind the kernel based regularized interpolation is the well-known Representer Theorem, which shows the form of approximation function in
Qing Zou
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Density Problem and Approximation Error in Learning Theory
We study the density problem and approximation error of reproducing kernel Hilbert spaces for the purpose of learning theory. For a Mercer kernel on a compact metric space (, ), a characterization for the generated reproducing kernel Hilbert space (RKHS)
Ding-Xuan Zhou
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