Results 201 to 210 of about 1,436 (235)

Numerical integration based on a multilevel quartic quasi-interpolation operator

Applied Mathematics and Computation, 2014
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Wu, Jinming, Wang, Renhong, Zhang, Xiaolei   +2 more
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Durrmeyer Operators and Their Natural Quasi-Interpolants

2006
Abstract This paper provides a survey on spectral analysis and approximation order of our quasi-interpolants of Durrmeyer type on simplices, together with various new aspects and achievements. The latter include Bernstein type inequalities which are proved using a striking property of appropriately modified Durrmeyer operators, namely, their kernel
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Quantitative Approximation by Multiple Sigmoids Kantorovich-Choquet Quasi-interpolation Neural Network Operators

2023
Summary: In this article, we derive multivariate quantitative approximation by Kantorovich-Shilkret type quasi-interpolation neural network operators with respect to supremum and \(L_p\) norms. This is done with rates using the multivariate modulus of continuity.
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Representation of quasi-interpolants as differential operators and applications

1999
Most of the best known positive linear operators are isomorphisms of the maximal subspace of polynomials that they preserve. We give here the differential forms of these isomorphisms and of their inverses for Bernstein and Szasz-Mirakyan operators, and their Durrmeyer and Kantorovitch extensions.
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Fuzzy Fractional Neural Network Approximation Using Fuzzy Quasi-interpolation Operators

2015
Here we consider the univariate fuzzy fractional quantitative approximation of fuzzy real valued functions on a compact interval by quasi-interpolation sigmoidal and hyperbolic tangent fuzzy neural network operators.
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Approximation by a Kantorovich–Shilkret Quasi-interpolation Neural Network Operator

2018
In this chapter we present multivariate basic approximation by a Kantorovich–Shilkret type quasi-interpolation neural network operator with respect to supremum norm. This is done with rates using the multivariate modulus of continuity. We approximate continuous and bounded functions on \( \mathbb {R}^{N}\), \(N\in \mathbb {N}\).
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Improved African Vulture Optimization Algorithm Based on Quasi-Oppositional Differential Evolution Operator

IEEE Access, 2022
Renju Liu, Tianlei Wang, Jing Zhou
exaly  

Approximation with Rates by Kantorovich–Choquet Quasi-interpolation Neural Network Operators

2018
In this chapter we present univariate and multivariate basic approximation by Kantorovich–Choquet type quasi-interpolation neural network operators with respect to supremum norm. This is done with rates using the first univariate and multivariate moduli of continuity.
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Cell entry and release of quasi-enveloped human hepatitis viruses

Nature Reviews Microbiology, 2023
Anshuman Das, Xin Yin, Christopher Walker   +2 more
exaly  

Parametrized quasi-soft thresholding operator for compressed sensing and matrix completion

Computational and Applied Mathematics, 2020
Hugo J Woerdeman, An-Bao Xu
exaly