Results 61 to 70 of about 5,938 (172)
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 +3 more
wiley +1 more source
In this paper, for the univariate Bernstein-Kantorovich-Choquet, Szasz-Kantorovich-Choquet, Baskakov-Kantorovich-Choquet and Bernstein-Durrmeyer-Choquet operators written in terms of the Choquet integrals with respect to monotone and submodular set ...
Sorin Gal
doaj +2 more sources
Approximation by ψ‐Baskakov‐Kantorovich Operators
ABSTRACTIn this paper, we introduce a new family of Baskakov‐Kantorovich operators that depend on a function . We compare these new ‐Baskakov‐Kantorovich operators with the classical Baskakov‐Kantorovich operators to evaluate their approximation results.
Hüseyin Aktuğlu +2 more
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Identification and estimation of continuous‐time dynamic discrete choice games
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
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 +4 more
wiley +1 more source
Chlodowsky-type q-Bernstein-Stancu-Kantorovich operators [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Özarslan, Mehmet Ali, Vedi, Tuba
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Learning Low‐Dimensional Representations of Ensemble Forecast Fields Using Autoencoder‐Based Methods
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 +2 more
wiley +1 more source
Approximation properties of Kantorovich type q-Balázs-Szabados operators
In this paper, we introduce a new kind of q-Balázs-Szabados-Kantorovich operators called q-BSK operators. We give a weighted statistical approximation theorem and the rate of convergence of the q-BSK operators.
Özkan Esma Yıldız
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The Kantorovich form of some extensions for the Szász-Mirakjan operators
Recently, C. Mortici defined a class of linear and positive operators depending on a certain function \(\varphi\). These operators generalize the well known Szász-Mirakjan operators.
Dan Bărbosu +2 more
doaj +2 more sources
Asymptotic Dynamics of Generalized Kantorovich Operators
Abstract We characterize the family of continuous functions $$f\in C([0,1])$$ f ∈ C ( [ 0 , 1 ]
Krzysztof Bartoszek, Wojciech Bartoszek
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