Results 31 to 40 of about 223 (167)

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

Approximation by Parametric Extension of Szász-Mirakjan-Kantorovich Operators Involving the Appell Polynomials

open access: yesJournal of Function Spaces, 2020
The purpose of this article is to introduce a Kantorovich variant of Szász-Mirakjan operators by including the Dunkl analogue involving the Appell polynomials, namely, the Szász-Mirakjan-Jakimovski-Leviatan-type positive linear operators.
Md. Nasiruzzaman, A. F. Aljohani
doaj   +1 more source

Approximation of Schurer type q-Bernstein-Kantorovich operators [PDF]

open access: yesJournal of Inequalities and Applications, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ren, Mei-Ying, Zeng, Xiao-Ming
openaire   +2 more sources

Approximation of Integrable Functions by Modified Barbosu Operators [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences
This paper presents an approximation method of integrable functions using a modified Barbosu operator, aimed at improving the rate of convergence in function approximation on the interval [0,1]. By introducing a suitable adjustment in the weight function,
Rahul Kumar, Asha Ram Gairola
doaj   +1 more source

Markov Moment Problem and Sandwich Conditions on Bounded Linear Operators in Terms of Quadratic Forms

open access: yesMathematics, 2022
As is well-known, unlike the one-dimensional case, there exist nonnegative polynomials in several real variables that are not sums of squares. First, we briefly review a method of approximating any real-valued nonnegative continuous compactly supported ...
Octav Olteanu
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

New Kantorovich-type Szász–Mirakjan Operators

open access: yesBulletin of the Iranian Mathematical Society
AbstractIn this paper, we present a Kantorovich-type Szász–Mirakjan operators. Initially, we establish the recurrence relationship for the moments of these operators and provide the central moments up to the fourth degree. Subsequently, we analyze the local approximation properties of these operators using Peetre’s K-function.
Nazim I. Mahmudov, Mustafa Kara
openaire   +1 more source

Convergence Theorem for a Family of New Modified Halley’s Method in Banach Space

open access: yesJournal of Applied Mathematics, 2014
We establish convergence theorems of Newton-Kantorovich type for a family of new modified Halley’s method in Banach space to solve nonlinear operator equations. We present the corresponding error estimate.
Rongfei Lin   +3 more
doaj   +1 more source

On an approximation operator and its Lipschitz constant

open access: yesJournal of Numerical Analysis and Approximation Theory, 2002
In this note we consider an approximation operator of Kantorovich type in which expression appears a basic sequence for a delta operator and a Sheffer sequence for the same delta operator.
Maria Crăciun
doaj   +2 more sources

A New Clustering Strategy for Geo‐Referenced Time Series Based on Optimal Transport

open access: yesEnvironmetrics, Volume 37, Issue 3, April 2026.
ABSTRACT Advances in spatio‐temporal data collection have created a demand for efficient methods to analyze geo‐referenced time series (GTS), which capture changes over time at specific spatial locations. Traditional clustering methods often struggle to handle the high‐dimensional, complex nature of GTS.
Pasquale Pipiciello   +2 more
wiley   +1 more source

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