Results 61 to 70 of about 1,058,862 (209)

Approximation by bivariate Bernstein–Kantorovich–Stancu operators that reproduce exponential functions

Journal of Inequalities and Applications
In this study, we construct a Stancu-type generalization of bivariate Bernstein–Kantorovich operators that reproduce exponential functions. Then, we investigate some approximation results for these operators.
Lian-Ta Su, Kadir Kanat, Melek Sofyalioğlu Aksoy, Merve Kisakol   +3 more
doaj   +1 more source

Higher order Kantorovich-type Szász–Mirakjan operators

Journal of Inequalities and Applications, 2022
In this paper, we define new higher order Kantorovich-type Szász–Mirakjan operators, we give some approximation properties of these operators in terms of various moduli of continuity. We prove a local approximation theorem, a Korovkin-type theorem, and a
Pembe Sabancigil, Mustafa Kara, Nazim I. Mahmudov   +2 more
doaj   +1 more source

Enhancing Wind Turbine Diagnostics With SCADA‐Vibration Fusion, Contrastive Learning, and Linear Predictive Coefficients

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
Wind energy plays a pivotal role in the transition to sustainable power generation. However, maintaining the reliability and efficiency of wind turbine (WT) remains a significant challenge due to complex operational conditions and the high cost associated with unexpected failures.
Cristian Velandia-Cárdenas, Yolanda Vidal, Francesc Pozo, Fabio Casciati   +3 more
wiley   +1 more source

Identification and estimation of continuous‐time dynamic discrete choice games

Quantitative Economics, Volume 17, Issue 1, Page 254-296, January 2026.
This paper considers the theoretical, computational, and econometric properties of continuous‐time dynamic discrete choice games with stochastically sequential moves, introduced by Arcidiacono, Bayer, Blevins, and Ellickson (2016). We consider identification of the rate of move arrivals, which was assumed to be known in previous work, as well as a ...
Jason R. Blevins
wiley   +1 more source

Estimates for the Differences of Certain Positive Linear Operators

Mathematics, 2020
The present paper deals with estimates for differences of certain positive linear operators defined on bounded or unbounded intervals. Our approach involves Baskakov type operators, the kth order Kantorovich modification of the Baskakov operators, the ...
Ana Maria Acu, Sever Hodiş, Ioan Rașa
doaj   +1 more source

Convergence properties of generalized Lupaş-Kantorovich operators

Karpatsʹkì Matematičnì Publìkacìï, 2021
In the present paper, we consider the Kantorovich modification of generalized Lupaş operators, whose construction depends on a continuously differentiable, increasing and unbounded function $\rho$.
M. Qasim, A. Khan, Z. Abbas, M. Mursaleen   +3 more
doaj   +1 more source

Order of approximation for sampling Kantorovich operators [PDF]

Journal of Integral Equations and Applications, 2014
In this paper, we study the problem of the rate of approximation for the family of sampling Kantorovich operators in the uniform norm, for uniformly continuous and bounded functions belonging to Lipschitz classes (Zygmund-type classes), and for functions in Orlicz spaces.
COSTARELLI, Danilo, VINTI, Gianluca
openaire   +3 more sources

An Optimized Block Hybrid Spectral Simple Iteration Methods for Solving Nonlinear Evolution Equations

International Journal for Numerical Methods in Engineering, Volume 126, Issue 24, 30 December 2025.
ABSTRACT This study presents a new optimized block hybrid method and spectral simple iteration method (OBHM‐SSIM) for solving nonlinear evolution equations. In this method, we employed a combination of the spectral collocation method in space and the optimized block hybrid method in time, along with a simple iteration scheme to linearize the equations.
Salma Ahmedai, Precious Sibanda, Sandile Motsa, Sicelo Goqo, Osman A. I. Noreldin   +4 more
wiley   +1 more source

Learning Low‐Dimensional Representations of Ensemble Forecast Fields Using Autoencoder‐Based Methods

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Large‐scale numerical simulations often produce high‐dimensional gridded data, which is challenging to process for downstream applications. A prime example is numerical weather prediction, where atmospheric processes are modeled using discrete gridded representations of the physical variables and dynamics. Uncertainties are assessed by running
Jieyu Chen, Kevin Höhlein, Sebastian Lerch   +2 more
wiley   +1 more source

Approximation in variation by the Kantorovich operators; pp. 201–209 [PDF]

Proceedings of the Estonian Academy of Sciences, 2011
We discuss the rate of approximation of the Kantorovich operators. The rate of approximation is given with respect to the variation seminorm.
Andi Kivinukk, Tarmo Metsmägi
doaj   +1 more source