Results 11 to 20 of about 14,407 (260)
In the topographic complex catchments, landscape features have a significant impact on the spatial prediction of rainfall and temperature. In this study, performance assessments were made of various interpolation techniques for the prediction of the ...
Hirpo Gudeta Bati +2 more
doaj +1 more source
The inclusion of physiographic and atmospheric influences is critical for spatial modeling of orographic precipitation in complex terrains. However, attempts to incorporate cloud cover frequency (CCF) data when interpolating precipitation are limited ...
Karam Alsafadi +6 more
doaj +1 more source
On Multivariate Polynomial Interpolation [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Amos Ron, Carl De Boor
+5 more sources
Approximations by multivariate sublinear and Max-product operators under convexity
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.
doaj +1 more source
General multivariate arctangent function activated neural network approximations
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
doaj +1 more source
Generalized recursive multivariate interpolation [PDF]
A generalized recursive interpolation technique for a set of linear functionals over a set of general univariate basis functions has been previously developed. This paper extends these results to restricted multivariate interpolation over a set of general multivariate basis functions. When the data array is a suitable configuration (e.g., an n
openaire +1 more source
Symmetry in multivariate ideal interpolation
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rodriguez Bazan, Erick, Hubert, Evelyne
openaire +3 more sources
Canonical Sets of Best L1-Approximation
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
doaj +1 more source
Multivariate Interpolation of Wind Field Based on Gaussian Process Regression
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
doaj +1 more source
Hyperbolic Tangent Like Relied Banach Space Valued Neural Network Multivariate Approximations
Here we examine the multivariate quantitative approximations of Banach space valued continuous multivariate functions on a box or ℝN , N ∈ ℕ, by the multivariate normalized, quasi-interpolation, Kantorovich type and quadrature type neural network ...
Anastassiou George A.
doaj +1 more source

