Results 21 to 30 of about 3,352,430 (254)
KOROVKIN THEOREM VIA STATISTICAL e-MODULAR CONVERGENCE OF DOUBLE SEQUENCES
In the present paper, we obtain an abstract version of the Korovkin type theorem via the concept of statistical e-convergence in modular spaces for double sequences of positive linear operators.
Sevda Yıldız
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According to the definition of sequence shadowing property and regularly recurrent point in the inverse limit space, we introduce the concept of sequence shadowing property and regularly recurrent point in the double inverse limit space and study their ...
Zhan jiang Ji
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A category theorem for double sequences
AbstractThe goal of this paper is to present the following multidimensional category theorem for double sequences via four-dimensional matrix transformations. The set of second category double subsequences of the double sequence (sk,l) is summable by a four-dimensional RH-regular matrix A=(am,n,k,l) if and only if (sk,l) is P-convergent.
Patterson, Richard F., Savas, Ekrem
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Double photoionization of He isoelectronic sequence / [PDF]
Double photoionization of He-like ions is investigated using a few-step approach, that treats direct double photoionization as a sequence of two- (photoionization-ionization) and three-step (photoionization-excitation-ionization ...
Koncevičiūtė, Jurgita, +1 more
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The (weak) wedgeness for FK-spaces was first defined by Bennett in 1974. Then, some results of Bennett (1974) were improved by İnce (2002) and Daˇgadur (2004) for all (weak) wedge FK spaces.
Sezgek Şeyda, Dağadur İlhan
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The double-sided welding process is widely used in ship construction due to its high welding efficiency and forming quality. In order to further reduce the deformation caused by double-sided welding for medium-small assemblies in ships, the optimization ...
Yi Shen +4 more
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In the field of pattern recognition, clustering groups the data into different clusters on the basis of similarity among them. Many a time, the similarity level between data points is derived through a distance measure; so, a number of clustering ...
Mohd Shoaib Khan, QM Danish Lohani
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Double Path Networks for Sequence to Sequence Learning
Encoder-decoder based Sequence to Sequence learning (S2S) has made remarkable progress in recent years. Different network architectures have been used in the encoder/decoder. Among them, Convolutional Neural Networks (CNN) and Self Attention Networks (SAN) are the prominent ones. The two architectures achieve similar performances but use very different
Kaitao Song +5 more
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New double sequence spaces of fuzzy numbers [PDF]
In this paper we introduce some new double sequence spaces of fuzzy numbers using Orlicz function and also we examine that if a sequence of fuzzy numbers is double strongly convergent with respect to an Orlicz function then it is double statistical ...
Ekrem Savaş, Savaş, Ekrem
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Approximation theorems using the method of $\mathcal{I}_{2}$-statistical convergence
In this study, we utilize the concept of $\mathcal{I}$-statistical convergence for double sequences to establish a general approximation theorem of Korovkin-type for double sequences of positive linear operators $(PLOs)$ mapping from $H_{\omega }\left( X\
Sevda Yıldız +2 more
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