Results 31 to 40 of about 958,747 (333)
Multivariate interval interpolation
Journal of Computational and Applied Mathematics, 1978 AbstractThe problem of multivariate interval interpolation has been defined. Two algorithms for the computation of a multivariate interval interpolating polynomial have been proposed. The algorithms have been compared among themselves with respect to the number of interval arithmetic operations required to compute them and the width of the computed ...
K.L. Majumder, G.P. Bhattacharjee
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Multivariate L-spline interpolation
Journal of Approximation Theory, 1969 Martin H. Schultz
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General multivariate arctangent function activated neural network approximations
Journal of Numerical Analysis and Approximation Theory, 2022 Here we expose multivariate quantitative approximations of Banach space valued continuous multivariate functions on a box or \(\mathbb{R}^{N}\), \(N\in \mathbb{N}\), by the multivariate normalized, quasi-interpolation, Kantorovich type and quadrature ...
George A. Anastassiou
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Approximations by multivariate sublinear and Max-product operators under convexity
Demonstratio Mathematica, 2018 Here we search quantitatively under convexity the approximation of multivariate function by general multivariate positive sublinear operators with applications to multivariate Max-product operators.
Anastassiou George A.
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Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset
Scientific Data, 2020 CRU TS (Climatic Research Unit gridded Time Series) is a widely used climate dataset on a 0.5° latitude by 0.5° longitude grid over all land domains of the world except Antarctica.
I. Harris +3 more
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Canonical Sets of Best L1-Approximation
Journal of Function Spaces and Applications, 2012 In mathematics, the term approximation usually means either interpolation on a point set or approximation with respect to a given distance. There is a concept, which joins the two approaches together, and this is the concept of characterization of the ...
Dimiter Dryanov, Petar Petrov
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Entropy and multivariable interpolation [PDF]
Memoirs of the American Mathematical Society, 2006 We define a new notion of entropy for operators on Fock spaces and positive definite multi-Toeplitz kernels on free semigroups. This is studied in connection with factorization theorems for (multi-Toeplitz, multi-analytic, etc.) operators on Fock spaces.
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Multivariate Interpolation of Wind Field Based on Gaussian Process Regression
Atmosphere, 2018 The resolution of the products of numerical weather prediction is limited by the resolution of numerical models and computing resources, which can be improved accurately by a well-chosen interpolation algorithm.
Miao Feng +5 more
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Mathematics, 2023 Multivariate “Bayesian” regression via a shared component model has gained popularity in recent years, particularly in modeling and mapping the risks associated with multiple diseases.
I. Gede Nyoman Mindra Jaya +5 more
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An estimate for multivariate interpolation
Journal of Approximation Theory, 1985 AbstractSuppose f is a distribution on Rn, all of whose kth order derivatives are in Lp(Rp) and k is large enough to imply that f is continuous, namely, kp > n. If the values of f on a grid of points (not necessarily regular) are in lp, we show that f is in Lp(Rn) and there is an estimate on the Lp norm of f in terms of the lp norms of these values and
Madych, W.R, Potter, E.H
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