Results 21 to 30 of about 13,291 (315)
Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification [PDF]
Numerische Mathematik, 2020 This paper deals with the kernel-based approximation of a multivariate periodic function by interpolation at the points of an integration lattice—a setting that, as pointed out by Zeng et al. (Monte Carlo and Quasi-Monte Carlo Methods 2004, Springer, New
V. Kaarnioja +4 more
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Electronic Transactions on Numerical Analysis, 2022 . In the classical (non-fractal) setting, the natural kinship between theories of interpolation and approximation is well explored. In contrast to this, in the context of fractal interpolation, the interrelation between interpolation and approximation is
K. K. Pandey, P. Viswanathan
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The theorem about the transformer excitation current waveform mapping into the dynamic hysteresis loop branch for the sinusoidal magnetic flux case [PDF]
Serbian Journal of Electrical Engineering, 2015 This paper analyses aspects of the approximation theory application on the certain subsets of the measured samples of the transformer excitation current and the sinusoidal magnetic flux.
Petrović Nenad +2 more
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Journal of Geodetic Science, 2020 This paper is aimed at introducing the concept of Spherical Interpolating Moving Least Squares to the problems in geodesy and geophysics. Based on two previously known methods, namely Spherical Moving Least Squares and Interpolating Moving Least Squares,
Kiani M.
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Domains via approximation operators [PDF]
Logical Methods in Computer Science, 2018 In this paper, we tailor-make new approximation operators inspired by rough set theory and specially suited for domain theory. Our approximation operators offer a fresh perspective to existing concepts and results in domain theory, but also reveal ways ...
Zhiwei Zou, Qingguo Li, Weng Kin Ho
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Technological and Economic Development of Economy, 2023 Probability weighting function (PWF) is the psychological probability of a decision-maker for objective probability, which reflects and predicts the risk preferences of decision-maker in behavioral decisionmaking.
Sheng Wu +4 more
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Training and assessment the generalization ability of interpolation methods [PDF]
Компьютерные исследования и моделирование, 2015 We investigate machine learning methods with a certain kind of decision rule. In particular, inverse-distance method of interpolation, method of interpolation by radial basis functions, the method of multidimensional interpolation and approximation ...
Yuri Nikolaevich Bakhvalov +1 more
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Approximation and interpolation of regular maps from affine varieties to algebraic manifolds [PDF]
Mathematica Scandinavica, 2017 We consider the analogue for regular maps from affine varieties to suitable algebraic manifolds of Oka theory for holomorphic maps from Stein spaces to suitable complex manifolds.
F. Lárusson, T. Truong
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Thermoelectric transport of GaAs, InP, and PbTe: Hybrid functional with k · p ̃ interpolation versus scissor-corrected generalized gradient approximation [PDF]
Journal of Applied Physics, 2018 Boltzmann transport calculations based on band structures generated with the density functional theory are often used in the discovery and analysis of thermoelectric materials. In standard implementations, such calculations require dense k-point sampling
K. Berland, C. Persson
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The spaces of exponential type vectors of complex degrees of positive operators
Karpatsʹkì Matematičnì Publìkacìï, 2013 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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