Results 11 to 20 of about 19,121 (268)
Single kick approximations for beam-beam deflections
A six-dimensional symplectic beam-beam interaction map using finite discrete slices of a strong beam is extended to infinitesimal slices. The new map is calculated under the assumption of a longitudinal Gaussian distribution with approximations.
Takahiko Koyama
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Discrete-Time Semi-Markov Random Evolutions in Asymptotic Reduced Random Media with Applications
This paper deals with discrete-time semi-Markov random evolutions (DTSMRE) in reduced random media. The reduction can be done for ergodic and non ergodic media.
Nikolaos Limnios, Anatoliy Swishchuk
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Uniform Approximation of Functions with Discrete Approximation Functionals
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Chandler, Colston, Gibson, Archie G.
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We analyze discontinuous Galerkin methods with penalty terms, namely, symmetric interior penalty Galerkin methods, to solve nonlinear Sobolev equations.
Hyun Young Lee +2 more
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An Efficient Method for Approximation of Non-Rational Transfer Functions [PDF]
A method for rational approximation of linear fractional order systems (LFOS) is presented in the present paper. The method is computationally efficient, flexible and effective, as is illustrated by numerous examples.
Milan R. Rapaić +2 more
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Finite element analysis for microscale heat equation with Neumann boundary conditions [PDF]
In this paper, we explore the numerical analysis of the microscale heat equation. We present the characteristics of numerical solutions obtained through both semi- and fully-discrete linear finite element methods.
M.H. Hashim, A.J. Harfash
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Approximate calculation of 8-point DCT for various scenarios of practical applications
In this paper, based on the parametric model of the matrix of discrete cosine transform (DCT), and using an exhaustive search of the parameters’ space, we seek for the best approximations of 8-point DCT at the given computational complexities by taking ...
Dariusz Puchala
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Accuracy of Approximation for Discrete Distributions [PDF]
The paper is a contribution to the problem of estimating the deviation of two discrete probability distributions in terms of the supremum distance between their generating functions over the interval [0,1]. Deviation can be measured by the difference of the kth terms or by total variation distance.
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Error estimates of finite element methods for nonlinear fractional stochastic differential equations
In this paper, we consider the Galerkin finite element approximations of the initial value problem for the nonlinear fractional stochastic partial differential equations with multiplicative noise.
Yanpeng Zhang, Xiaoyuan Yang, Xiaocui Li
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In this paper, split step theta balanced Euler approximations for stochastic time-varying delay Hopfield neural networks (HNN) with distributed delays are examined for their exponential stability and strong convergence.
Pichamuthu Mayavel +1 more
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