Results 11 to 20 of about 484,275 (334)
The extremal function of interpolation formulas in W2(2,0) space
One of the main problems of computational mathematics is the optimization of computational methods in functional spaces. Optimization of computational methods are well demonstrated in the problems of the theory of interpolation formulas.
Boltaev, A.K. +2 more
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Interpolation of Gentle Spaces [PDF]
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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Lagrange Multivariate Polynomial Interpolation: A Random Algorithmic Approach
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 Besov spaces [PDF]
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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The problem of trigonometric Fourier series multipliers of classes in λp,q spaces
In this article, we consider weighted spaces of numerical sequences λp,q, which are defined as sets of sequences a = {ak}∞k=1, for which the norm ||a||λp,q := (∞Σk=1|ak|qkq/p −1)1/q < ∞ is finite. In the case of non-increasing sequences, the norm of the
A. Bakhyt, N.T. Tleukhanova
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On ψ- interpolation spaces [PDF]
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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Geodesic Learning With Uniform Interpolation on Data Manifold
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 Interpolation in L p Spaces
then X is an interpolation space between the spaces Lp and Lq . This means that any bounded linear operator T in Lp and Lq is also bounded in the space X . This theorem was proved by Boyd [1] in 1967 under the additional assumption that X possesses the Fatou property (see also [2] and [3, Theorem 5.16]).
Astashin, S. V., Maligranda, Lech
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Comparison of Different Approaches to Define the Applicability Domain of QSAR Models
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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A Hybrid Method for Interpolating Missing Data in Heterogeneous Spatio-Temporal Datasets
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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