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This paper extends the classical theory of Voronovskaya-type asymptotic expansions to generalized neural network operators defined on non-Euclidean and fractal domains. We introduce and analyze smooth operators activated by modified and…

General Mathematics · Mathematics 2025-01-14 Rômulo Damasclin Chaves dos Santos , Jorge Henrique de Oliveira Sales

An analogue of Taylor's formula, which arises by substituting the classical derivative by a divided difference operator of Askey-Wilson type, is developed here. We study the convergence of the associated Taylor series. Our results…

Classical Analysis and ODEs · Mathematics 2007-05-23 José Manuel Marco , Javier Parcet

Generalized numberings are an extension of Ershov's notion of numbering, based on partial combinatory algebra (pca) instead of the natural numbers. We study various algebraic properties of generalized numberings, relating properties of the…

Logic · Mathematics 2020-04-30 H. P. Barendregt , S. A. Terwijn

The main purpose of this paper is to determine the approximations of Durrmeyer modification of Szasz-Mirakjan operators, defined by Mishra et al. (Boll. Unione Mat. Ital. (2016) 8(4):297-305). We estimate the order of approximation of the…

Functional Analysis · Mathematics 2020-02-14 Rishikesh Yadav , Ramakanta Meher , Vishnu Narayan Mishra

In this paper, we considered the problem of the simultaneous approximation of a function and its derivatives by means of the well-known neural network (NN) operators activated by sigmoidal function. Other than a uniform convergence theorem…

Functional Analysis · Mathematics 2025-02-25 Marco Cantarini , Danilo Costarelli

The convergence of a new general variable metric algorithm based on compositions of averaged operators is established. Applications to monotone operator splitting are presented.

Optimization and Control · Mathematics 2018-07-12 Lilian E. Glaudin

We give direct and inverse theorems for the weighted approximation of functions with endpoint singularities by combinations of Bernstein operators.

Functional Analysis · Mathematics 2010-08-27 Wen-ming Lu , Lin Zhang

The exponential rate of convergence for some Markov operators is established. The operators correspond to continuous iterated function systems which are a very useful tool in some cell cycle models.

Probability · Mathematics 2016-03-23 Hanna Wojewódka

We generalize Romanoff's theorem. Also, we obtain a result on sums related to Euler's totient function.

Number Theory · Mathematics 2024-03-05 Artyom Radomskii

Given a compact linear operator $\K$, the (pseudo) inverse $\K^\dagger$ is usually substituted by a family of regularizing operators $\R_\alpha$ which depends on $\K$ itself. Naturally, in the actual computation we are forced to approximate…

Numerical Analysis · Mathematics 2021-06-22 Davide Bianchi , Marco Donatelli

The aim of this article is to introduce the Kantorovich form of generalized Szasz-type operators involving Charlier polynomials with certain parameters. In this paper we discussed the rate of convergence better error estimates and…

Classical Analysis and ODEs · Mathematics 2015-09-16 Abdul Wafi , Nadeem Rao

This paper addresses the problem of regularity properties of functions represented as an expansion in a wavelet basis with random coefficients in terms of finiteness of their Besov norm with probability 1. Such representations are used to…

Statistics Theory · Mathematics 2013-10-24 Natalia Bochkina

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 an asymmetrical operator of generalised translation is introduced, the generalised modulus of smoothness is defined by its means and the direct and inverse theorems in approximation theory are proved for that modulus. ----- V…

Functional Analysis · Mathematics 2012-09-03 Mikhail K. Potapov , Faton M. Berisha

In the present paper, we introduce three neural network operators of convolution type activated by symmetrized, deformed and parametrized B-generalized logistic function. We deal with the approximation properties of these operators to the…

Numerical Analysis · Mathematics 2025-03-31 Asiye Arif , Tuğba Yurdakadim

This paper deals with the modified q-Stancu-Beta operators and we have investigated the statistical approximation theorems for these operators with the help of the Korovkin type approximation theorem. We have also established the rates of…

Classical Analysis and ODEs · Mathematics 2018-10-22 Preeti Sharma Joshi , Ghanshyam Singh Rathore

Summation-by-parts (SBP) operators are popular building blocks for systematically developing stable and high-order accurate numerical methods for time-dependent differential equations. The main idea behind existing SBP operators is that the…

Numerical Analysis · Mathematics 2023-04-10 Jan Glaubitz , Jan Nordström , Philipp Öffner

Although approximate Bayesian computation (ABC) has become a popular technique for performing parameter estimation when the likelihood functions are analytically intractable there has not as yet been a complete investigation of the…

Statistics Theory · Mathematics 2011-05-19 Thomas A. Dean , Sumeetpal S. Singh

We obtain approximation results for general positive linear operators satisfying mild conditions, when acting on discontinuous functions and absolutely continuous functions having discontinuous derivatives. The upper bounds, given in terms…

Probability · Mathematics 2024-10-29 José A. Adell , P. Garrancho , F. J. Martínez-Sánchez

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