Results 51 to 60 of about 1,054,196 (331)

Multivariate Interpolation of Wind Field Based on Gaussian Process Regression

open access: yesAtmosphere, 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
doaj   +1 more source

Multivariate Bayesian Semiparametric Regression Model for Forecasting and Mapping HIV and TB Risks in West Java, Indonesia

open access: yesMathematics, 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
doaj   +1 more source

Discrete Transforms and Orthogonal Polynomials of (Anti)symmetric Multivariate Sine Functions

open access: yesEntropy, 2018
Sixteen types of the discrete multivariate transforms, induced by the multivariate antisymmetric and symmetric sine functions, are explicitly developed. Provided by the discrete transforms, inherent interpolation methods are formulated.
Adam Brus   +2 more
doaj   +1 more source

Hyperbolic Tangent Like Relied Banach Space Valued Neural Network Multivariate Approximations

open access: yesAnnals of the West University of Timisoara: Mathematics and Computer Science, 2023
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

On the Singularity of Multivariate Hermite Interpolation of Total Degree

open access: yesDiscrete Dynamics in Nature and Society, 2016
We study the singularity of multivariate Hermite interpolation of type total degree on m nodes with 3 ...
Zhongyong Hu   +2 more
doaj   +1 more source

Multiple general sigmoids based Banach space valued neural network multivariate approximation

open access: yesCubo, 2023
Here we present 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

Fast Computation of Minimal Interpolation Bases in Popov Form for Arbitrary Shifts [PDF]

open access: yes, 2016
We compute minimal bases of solutions for a general interpolation problem, which encompasses Hermite-Pad\'e approximation and constrained multivariate interpolation, and has applications in coding theory and security.
Jeannerod, Claude-Pierre   +3 more
core   +4 more sources

Entropy and multivariable interpolation [PDF]

open access: yesMemoirs 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.
openaire   +2 more sources

Reconfigurable Hardware Implementation of a Multivariate Polynomial Interpolation Algorithm

open access: yesInternational Journal of Reconfigurable Computing, 2010
Multivariate polynomial interpolation is a key computation in many areas of science and engineering and, in our case, is crucial for the solution of the reverse engineering of genetic networks modeled by finite fields.
Rafael A. Arce-Nazario   +2 more
doaj   +1 more source

An Improved Model for Kernel Density Estimation Based on Quadtree and Quasi-Interpolation

open access: yesMathematics, 2022
There are three main problems for classical kernel density estimation in its application: boundary problem, over-smoothing problem of high (low)-density region and low-efficiency problem of large samples.
Jiecheng Wang, Yantong Liu, Jincai Chang
doaj   +1 more source

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