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Related papers: On the Convergence of Max-product and Max-Min Durr…

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In the present study, we establish both pointwise and uniform convergence in the space of logarithmically uniformly continuous and bounded functions for the max-product and max-min Durrmeyer-type exponential sampling operators. Furthermore,…

Functional Analysis · Mathematics 2025-12-09 Satyaranjan Pradhan , H. M. Srivastava , Madan Mohan Soren

In this article, we analyze the approximation properties of the new family of Durrmeyer type exponential sampling operators. We derive the point-wise and uniform approximation theorem and Voronovskaya type theorem for these generalized…

Functional Analysis · Mathematics 2020-08-11 Shivam Bajpeyi , A. Sathish Kumar

Here we provide a unifying treatment of the convergence of a general form of sampling type operators, given by the so-called Durrmeyer sampling type series. In particular we provide a pointwise and uniform convergence theorem on…

Functional Analysis · Mathematics 2023-07-06 Danilo Costarelli , Michele Piconi , Gianluca Vinti

In this article, we study the convergence behaviour of the classical generalized Max Product exponential sampling series in the weighted space of log-uniformly continuous and bounded functions. We derive basic convergence results for both…

Functional Analysis · Mathematics 2024-09-25 Satyaranjan Pradhan , Madan Mohan Soren

In this study, we examine the convergence characteristics of the Max-Product Kantrovich type exponential sampling series within the weighted space of log-uniformly continuous and bounded functions. The research focuses on deriving…

Functional Analysis · Mathematics 2025-04-29 Satyaranjan Pradhan , Madan Mohan Soren

In this paper, we investigate Durrmeyer-type generalizations of maximum-minimum neural network operators. The primary objective of this study is to establish the convergence of these operators in the $L^{p}$ norm for functions $f\in…

Numerical Analysis · Mathematics 2026-02-02 Berke Şahin , İsmail Aslan

In this paper, we provide a unifying theory concerning the convergence properties of the so-called max-product Kantorovich sampling operators based upon generalized kernels in the setting of Orlicz spaces. The approximation of functions…

Functional Analysis · Mathematics 2025-02-25 Lorenzo Boccali , Danilo Costarelli , Gianluca Vinti

In this current work, we propose a Max Min approach for approximating functions using exponential neural network operators. We extend this framework to develop the Max Min Kantorovich-type exponential neural network operators and…

Machine Learning · Computer Science 2025-08-15 Satyaranjan Pradhan , Madan Mohan Soren

We study the convergence of Bernstein type operators leading to two results. The first: The kernel $K_n$ of the Bernstein-Durrmeyer operator at each point $x \in (0, 1)$ $\unicode{x2013}$ that is $K_n(x, t) dt$ $\unicode{x2013}$ once…

Classical Analysis and ODEs · Mathematics 2023-12-05 Mohammed Taariq Mowzer

The main object of this paper is to construct new Durrmeyer type operators which have better features than the classical one. Some results concerning the rate of convergence and asymptotic formulas of the new operator are given. Finally,…

Numerical Analysis · Mathematics 2018-10-17 Ana Maria Acu , Vijay Gupta , Gancho Tachev

For the last one and a half decades it has been known that the exponential product formula holds also {\it in norm} in nontrivial cases. In this note, we review the results on its convergence in norm as well as pointwise of the integral…

Mathematical Physics · Physics 2009-05-22 Takashi Ichinose , Hideo Tamura

In this paper, we introduce Mellin-Steklov exponential samplingoperators of order $r,r\in\mathbb{N}$, by considering appropriate Mellin-Steklov integrals. We investigate the approximation properties of these operators in continuousbounded…

Functional Analysis · Mathematics 2024-10-15 D Ozer , S Kursun , T Acar

The aim of this paper is to study variation detracting property and con- vergence in variation of the Bernstein-Durrmeyer modifications of the classical Bernstein operators in the space of functions of bounded variation. These problems are…

Classical Analysis and ODEs · Mathematics 2016-05-16 Ozlem Oksuzer , Harun Karsli , Fatma Tasdelen Yesildal

The main object of this paper is to construct a new genuine Bernstein-Durrmeyer type operators which have better features than the classical one. Some direct estimates for the modified genuine Bernstein-Durrmeyer operator by means of the…

Numerical Analysis · Mathematics 2018-10-17 Ana Maria Acu , P. N. Agrawal

In this paper we investigate some Korovkin type approximation properties of the q-Meyer-K\"onig and Zeller operators and Durrmeyer variant of the q-Meyer-K\"onig and Zeller operators via Abel summability method which is a…

Functional Analysis · Mathematics 2019-04-26 Dilek Söylemez , Mehmet Ünver

In this paper multivariate extension of the generalized Durrmeyer sampling type series are considered. We establish a Voronovskaja type formula and a quantitative version. Finally some particular examples are discussed.

Functional Analysis · Mathematics 2016-05-25 Carlo Bardaro , Ilaria Mantellini

In this article we present the Durrmeyer variant of generalized Bernstein operators that preserve the constant functions involving non-negative parameter ?. We derive the approximation behaviour of these operators including global…

Classical Analysis and ODEs · Mathematics 2018-08-07 Arun Kajla , Meenu Goyal

In this paper, we introduce Durrmeyer type modification of Meyer-Konig-Zeller operators based on (p,q)-integers. Rate of convergence of these operators are explored with the help of Korovkin type theorems. We establish some direct results…

Classical Analysis and ODEs · Mathematics 2017-06-23 Honey Sharma , Cheena Gupta , Ramapati Maurya

In this article, we analyse the Kantorovich type exponential sampling operators and its linear combination. We derive the Voronovskaya type theorem and its quantitative estimates for these operators in terms of an appropriate K-functional.…

Functional Analysis · Mathematics 2020-02-10 B. Shivam , A. Sathish Kumar

We examine the linear convergence rates of variants of the proximal point method for finding zeros of maximal monotone operators. We begin by showing how metric subregularity is sufficient for linear convergence to a zero of a maximal…

Optimization and Control · Mathematics 2009-02-25 D. Leventhal
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