Results 21 to 30 of about 491,104 (287)
Lagrange Multivariate Polynomial Interpolation: A Random Algorithmic Approach
Journal of Applied Mathematics, 2022 The problems of polynomial interpolation with several variables present more difficulties than those of one-dimensional interpolation. The first problem is to study the regularity of the interpolation schemes.
A. Essanhaji, M. Errachid
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Interpolation of Gentle Spaces [PDF]
Abstract and Applied Analysis, 2014 The notion of gentle spaces, introduced by Jaffard, describes what would be an “ideal” function space to work with wavelet coefficients. It is based mainly on the separability, the existence of bases, the homogeneity, and theγ-stability. We prove that real and complex interpolation spaces between two gentle spaces are also gentle.
Ben Slimane, Mourad, Ben Braiek, Hnia
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Geodesic Learning With Uniform Interpolation on Data Manifold
IEEE Access, 2022 Recently with the development of deep learning on data representation and generation, how to sampling on a data manifold becomes a crucial problem for research.
Cong Geng +3 more
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On ψ- interpolation spaces [PDF]
Mathematical Inequalities & Applications, 2009 In this paper the sequence Banach space ψ (Z) is defined for a class of convex functions ψ , and properties of the Kand Jinterpolation spaces (E0,E1)θ ,ψ,K and (E0,E1)θ ,ψ,J for a Banach couple E = (E0,E1) and θ ∈ (0,1) are studied. Mathematics subject classification (2000): 46B70.
Nikolova, L., Zachariades, T.
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Interpolation of Besov spaces [PDF]
Transactions of the American Mathematical Society, 1988 We investigate Besov spaces and their connection with dyadic spline approximation in L p ( Ω ) {L_p}(\Omega ) , 0 > p ⩽ ∞ 0 > p \leqslant \infty .
DeVore, Ronald A, Popova, Vasil A
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Comparison of Different Approaches to Define the Applicability Domain of QSAR Models
Molecules, 2012 One of the OECD principles for model validation requires defining the Applicability Domain (AD) for the QSAR models. This is important since the reliable predictions are generally limited to query chemicals structurally similar to the training compounds ...
Roberto Todeschini +5 more
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Generalized Interpolation Spaces [PDF]
Transactions of the American Mathematical Society, 1971 In this paper we introduce the notion of “generalized” interpolation space, and state and prove a “generalized” interpolation theorem. This apparently provides a foundation for an axiomatic treatment of interpolation space theory, for subsequently we show that the “mean” interpolation spaces of Lions-Peetre, the “complex” interpolation spaces of A.
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Interpolation Hilbert Spaces Between Sobolev Spaces [PDF]
Results in Mathematics, 2014 We explicitly describe all Hilbert function spaces that are interpolation spaces with respect to a given couple of Sobolev inner product spaces considered over $\mathbb{R}^{n}$ or a half-space in $\mathbb{R}^{n}$ or a bounded Euclidean domain with Lipschitz boundary.
Mikhailets, Vladimir A. +1 more
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A Hybrid Method for Interpolating Missing Data in Heterogeneous Spatio-Temporal Datasets
ISPRS International Journal of Geo-Information, 2016 Space-time interpolation is widely used to estimate missing or unobserved values in a dataset integrating both spatial and temporal records. Although space-time interpolation plays a key role in space-time modeling, existing methods were mainly developed
Min Deng +3 more
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Matrix-interpolation-based parametric model order reduction for multiconductor transmission lines with delays [PDF]
, 2015 A novel parametric model order reduction technique based on matrix interpolation for multiconductor transmission lines (MTLs) with delays having design parameter variations is proposed in this brief.
Dhaene, Tom +2 more
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