Results 111 to 120 of about 5,260,799 (222)

A Single Layer Functional Link Artificial Neural Network based on Chebyshev Polynomials for Neural Evaluations of Nonlinear Nth Order Fuzzy Differential Equations

Annals of the West University of Timisoara: Mathematics and Computer Science, 2018
Bearing in mind the considerable importance of fuzzy differential equations (FDEs) in different fields of science and engineering, in this paper, nonlinear nth order FDEs are approximated, heuristically.
Ara Asmat, Razzaq Oyoon Abdul, Khan Najeeb Alam   +2 more
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Rational Chebyshev approximations for the error function [PDF]

Mathematics of Computation, 1969
This note presents nearly-best rational approximations for the functions erf ( x ) (x) and erfc ( x ) (x) , with maximal relative errors ranging down to between 6 × 10 − 19
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Chebyshev Approximations to the Gamma Function [PDF]

Mathematics of Computation, 1961
Werner, Helmut, Collinge, Robert
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Numerical Solution of a Class of Functional-Differential Equations Using Jacobi Pseudospectral Method

Abstract and Applied Analysis, 2013
The shifted Jacobi-Gauss-Lobatto pseudospectral (SJGLP) method is applied to neutral functional-differential equations (NFDEs) with proportional delays.
A. H. Bhrawy, M. A. Alghamdi, D. Baleanu
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Chebyshev collocation for linear, periodic ordinary and delay differential equations: a posteriori estimates

, 2004
We present a Chebyshev collocation method for linear ODE and DDE problems. We first give a posteriori estimates for the accuracy of the approximate solution of a scalar ODE initial value problem. Examples of the success of the estimate are given.
Bueler, Ed
core  

Asymptotic formulae of generalized Chebyshev functions

, 1996
Let \(G_2\) denote the set of squares of integers and let \(Q_r\) (\(r\)-integer) be the set of \(r\)-free numbers \((Q_1= \{1\})\). Moreover, for a fixed \(r,k,m\) and \(N\in G_2\cap Q_r\), \(\omega(r)\leq r-1\), let \(C_{r,k}\) denote the set of positive integers \(n\) such that \(n=N\) or \(n= pmN\) with \((pm,N)=1\).
Calderón, Catalina, Zarate, María José   +1 more
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Quantum Chebyshev probabilistic models for fragmentation functions

Communications Physics
Quantum generative modeling is emerging as a powerful tool for advancing data analysis in high-energy physics, where complex multivariate distributions are common. However, efficiently learning and sampling these distributions remains challenging. We propose a quantum protocol for a bivariate probabilistic model based on shifted Chebyshev polynomials ...
Jorge J. Martínez de Lejarza, Hsin-Yu Wu, Oleksandr Kyriienko, Germán Rodrigo, Michele Grossi   +4 more
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SOLUTION OF SINGULAR INTEGRAL EQUATION FOR ELASTICITY THEORY WITH THE HELP OF ASYMPTOTIC POLYNOMIAL FUNCTION

Наука и техника, 2014
The paper offers a new method for approximate solution of one type of singular integral equations for elasticity theory which have been studied by other authors.
V. P. Gribkova, S. M. Kozlov
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A Chebyshev Set and its Distance Function

Journal of Approximation Theory, 2002
Let \(K\) be a Chebyshev subset of a smooth Banach space \(B\). An old open question in Banach space geometry asks if \(K\) must be convex. The answer is not known even if \(B\) is a Hilbert space. There are many beautiful partial results. For example, compact Chebyshev subsets of a smooth Banach space are convex.
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A NORM INEQUALITY FOR CHEBYSHEV CENTRES [PDF]

Journal of Sciences, Islamic Republic of Iran, 1995
In this paper, we study the Chebyshev centres of bounded subsets of normed spaces and obtain a norm inequality for relative centres. In particular, we prove that if T is a remotal subset of an inner product space H, and F is a star-shaped set at a ...
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