Results 71 to 80 of about 229 (177)
The generalization of Mastroianni operators using the Durrmeyer\u27s method
In the present paper, we define a sequence of Durrmeyer\u27s type operators associated with Mastroianni operators and introduce a new operator.
CISMASIU, Cristina Sanda
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Approximation process of a positive linear operator of hypergeometric type
In this article, we construct a new sequence of positive linear operators Hn:B[0,1]→C[0,1]{H}_{n}:B{[}0,1]\to C{[}0,1] using the hypergeometric distribution of probability theory and the rational values of f at the equally spaced control points k∕nk/n
Karsli Harun
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Richards's curve induced Banach space valued ordinary and fractional neural network approximation. [PDF]
Anastassiou GA, Karateke S.
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On Kantorovich variant of Brass-Stancu operators
In this study, we deal with Kantorovich-type generalization of the Brass-Stancu operators. For the sequence of these operators, we study Lp{L}^{p}-convergence and give some upper estimates for the Lp{L}^{p}-norm of the approximation error via first-order
Bodur Murat +2 more
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On convergence of nonlinear singular integral operators with non-isotropic kernels
Here we give some approximation theorems concerning pointwise con- vergence and rate of pointwise convergence of nonlinear singular integral opera- tors with non-isotropic kernels of the form ... Mathematics Subject Classifification (2010): 41A35, 41A25,
VURAL, Mehmet, KARSLI, Harun
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Estimates for the ratio of gamma functions by using higher order roots
It is the aim of this paper to give a systematically way for obtaining higher order roots estimates of the ratio … Mathematics Subject Classification (2010): 26D15, 11Y25, 41A25 ...
DUMITRESCU, Sorinel
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Fractional Trigonometric Korovkin Theory in Statistical Sense [PDF]
2000 Mathematics Subject Classification: 41A25, 41A36.In the present paper, we improve the classical trigonometric Korovkin theory by using the concept of statistical convergence from the summability theory and also by considering the fractional ...
Duman, Oktay, Anastassiou, George A.
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Approximation by weighted Durrmeyer-type max-product neural network operators
This paper introduces a class of weighted Durrmeyer-type max-product neural network operators, which generalize the Kantorovich variant by incorporating a flexible weight function.
Wu Yile, Yu Dansheng
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About Uniform Regularity of Collections of Sets [PDF]
We further investigate the uniform regularity property of collections of sets via primal and dual characterizing constants. These constants play an important role in determining convergence rates of projection algorithms for solving feasibility problems.
Kruger, Alexander Y., Thao, Nguyen H.
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SPARSE APPROXIMATION AND RECOVERY BY GREEDY ALGORITHMS IN BANACH SPACES
We study sparse approximation by greedy algorithms. We prove the Lebesgue-type inequalities for the weak Chebyshev greedy algorithm (WCGA), a generalization of the weak orthogonal matching pursuit to the case of a Banach space.
V. N. TEMLYAKOV
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