Results 11 to 20 of about 1,637,948 (328)
Approximation of integrable functions by general linear matrix operators of their Fourier series
The pointwise estimates of the deviation Tn,Af(⋅)−f(⋅){T}_{n,A}f(\cdot )-f\left(\cdot ) in terms of pointwise moduli of continuity based on the points of differentiability of indefinite integral of ff, with application of the rth differences of the ...
Mishra Vishnu Narayan +2 more
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The goal of this research article is to introduce a sequence of α–Stancu–Schurer–Kantorovich operators. We calculate moments and central moments and find the order of approximation with the aid of modulus of continuity.
Md. Heshamuddin +4 more
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Rate Of Convergence In Approximation
In the present paper we give a Korovkin type approximation theorem for a sequence of positive linear operators acting from into itself using the concept of -summation processes. We also study the rate of convergence of these operators.
Orhan, C., Sakaoglu, I.
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Rate of approximation for multivariate sampling Kantorovich operators on some functions spaces [PDF]
In this paper, the problem of the order of approximation for the multivariate sampling Kantorovich operators is studied. The cases of the uniform approximation for uniformly continuous and bounded functions/signals belonging to Lipschitz classes and the ...
D. Costarelli, G. Vinti
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On the convergence rate of vanishing viscosity approximations [PDF]
AbstractGiven a strictly hyperbolic, genuinely nonlinear system of conservation laws, we prove the a priori bound ‖u(t, ·) −uϵ(t, ·)‖=O(1)(1 +t) ·$\sqrt{\varepsilon}$|ln ϵ| on the distance between an exact BV solutionuand a viscous approximationuϵ, letting the viscosity coefficient ϵ → 0. In the proof, starting fromuwe construct an approximation of the
Bressan, Alberto, YANG T.
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Rate of convergence of discretization in Chebyshev approximation [PDF]
The paper treats, in a particularly simple fashion, the practical problem of the rate of convergence of discretization in real and complex Chebyshev approximation. Both linear and nonlinear approximations are discussed and, subject to certain conditions, quadratic convergence of the discretizations is obtained along with an explicit rate constant which
Dunham, C. B., Williams, Jack
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On the Rate of Convergence of Greedy Algorithms
In this paper, a new criterion for the evaluation of the theoretical efficiency of a greedy algorithm is suggested. Using this criterion, we prove some results on the rate of convergence of greedy algorithms, which provide expansions.
Vladimir Temlyakov
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DeepM&Mnet for hypersonics: Predicting the coupled flow and finite-rate chemistry behind a normal shock using neural-network approximation of operators [PDF]
In high-speed flow past a normal shock, the fluid temperature rises rapidly triggering downstream chemical dissociation reactions. The chemical changes lead to appreciable changes in fluid properties, and these coupled multiphysics and the resulting ...
Zhiping Mao +4 more
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On the rate of convergence of fully connected deep neural network regression estimates
Recent results in nonparametric regression show that deep learning, that is, neural network estimates with many hidden layers, are able to circumvent the so-called curse of dimensionality in case that suitable restrictions on the structure of the ...
Michael Kohler, S. Langer
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Convergence Rates of Regularized Approximation Processes
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shaw, Sen-Yen, Liu, Hsiang
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