Results 1 to 10 of about 65 (65)
Some of the next articles are maybe not open access.

Comparing high-order multivariate AD methods

Optimization Methods and Software, 2018
exaly  

Statistical Korovkin-type theorem for monotone and sublinear operators [PDF]

open access: yes, 2023
In this paper we generalize the result on statistical uniform convergence in the Korovkin theorem for positive and linear operators in C([a, b]), to the more general case of monotone and sublinear operators. Our result is illustrated by concrete examples.
IANCU, Ionu¸t T., Ionut T. Iancu
core   +1 more source

Multidimensional sampling-Kantorovich operators in BV-spaces

open access: yesOpen Mathematics, 2023
The main purpose of this article is to prove a result of convergence in variation for a family of multidimensional sampling-Kantorovich operators in the case of averaged-type kernels.
Angeloni Laura, Vinti Gianluca
doaj   +1 more source

About the B-concavity of functions with many variables

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2023
The paper deals with the study of the property of B-concavity and BB concavity in the bi-dimesional case and with the relation between these properties and the Bernstein operators defined on a simplex.
Meleşteu Alexandra Diana
doaj   +1 more source

t-Design Curves and Mobile Sampling on the Sphere

open access: yesForum of Mathematics, Sigma, 2023
In analogy to classical spherical t-design points, we introduce the concept of t-design curves on the sphere. This means that the line integral along a t-design curve integrates polynomials of degree t exactly.
Martin Ehler, Karlheinz Gröchenig
doaj   +1 more source

Multidimensional sampling theorems for multivariate discrete transforms

open access: yesAdvances in Difference Equations, 2021
This paper is devoted to the establishment of two-dimensional sampling theorems for discrete transforms, whose kernels arise from second order partial difference equations.
H. A. Hassan
doaj   +1 more source

APPROXIMATING SMOOTH, MULTIVARIATE FUNCTIONS ON IRREGULAR DOMAINS

open access: yesForum of Mathematics, Sigma, 2020
In this paper, we introduce a method known as polynomial frame approximation for approximating smooth, multivariate functions defined on irregular domains in $d$ dimensions, where $d$ can be arbitrary. This method is simple, and relies only on orthogonal
BEN ADCOCK, DAAN HUYBRECHS
doaj   +1 more source

A novel recursive method to reconstruct multivariate functions on the unit cube

open access: yesOpen Mathematics, 2017
Due to discontinuity on the boundary, traditional Fourier approximation does not work efficiently for d−variate functions on [0, 1]d. In this paper, we will give a recursive method to reconstruct/approximate functions on [0, 1]d well. The main process is
Zhang Zhihua
doaj   +1 more source

Fast evaluation of nonlinear functionals of tensor product wavelet expansions [PDF]

open access: yes, 2010
For a nonlinear functional f, and a function u from the span of a set of tensor product interpolets, it is shown how to compute the interpolant of f (u) from the span of this set of tensor product interpolets in linear complexity, assuming that the index
Christoph Schwab   +5 more
core   +1 more source

Shape‐preserving multivariate polynomial approximation in C[−1,1]m

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 2004, Issue 7, Page 325-333, 2004., 2004
We construct multivariate polynomials attached to a function f of m variables, m ≥ 2 , which approximate f with Jackson‐type rate involving a multivariate Ditzian‐Totik ω2φ‐modulus and preserve some natural kinds of multivariate monotonicity and convexity of function.
Ciprian S. Gal, Sorin G. Gal
wiley   +1 more source

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