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Modeling of LED using Piecewise Linear Approximation and Maclaurin series Expansion

2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 2018
LED is a light emitting semiconductor device which is nowadays, swiftly replacing conventional lighting system, owing to its high intensity and low energy consumption. In order to understand the operating characteristics of LED, its modeling is required. The very basic modeling of LED can be done by considering it as a resistor.
Rachana Garg
exaly   +2 more sources

APPROXIMATING THE DENSITY OF THE TIME TO RUIN VIA FOURIER-COSINE SERIES EXPANSION

ASTIN Bulletin, 2016
AbstractIn this paper, the density of the time to ruin is studied in the context of the classical compound Poisson risk model. Both one-dimensional and two-dimensional Fourier-cosine series expansions are used to approximate the density of the time to ruin, and the approximation errors are also obtained.
openaire   +1 more source

From high oscillation to rapid approximation II: expansions in Birkhoff series

IMA Journal of Numerical Analysis, 2011
We consider the use of eigenfunctions of polyharmonic operators, equipped with homogeneous Neumann boundary conditions, to approximate nonperiodic functions in compact intervals. Such expansions feature a number of advantages in comparison with classical Fourier series, including uniform convergence and more rapid decay of expansion coefficients ...
B. Adcock, A. Iserles, S. P. Norsett
openaire   +1 more source

Series Expansion Approximants for Singular Functions of Many Variables

1977
A novel method of approximating functions of two or more variables given a finite number of coefficients of their power series expansions is explained. The method — partial differential approximation — is effective in representing the characteristic singularities to be expected in functions of two or more variables (typically those arising in ...
openaire   +1 more source

Power series expansion neural network

Journal of Computational Science, 2022
Wenrui Hao, Juncai He
exaly  

On the Estimate of the K-Factor: An Effective Approximation Based on Taylor Series Expansion

IEEE Transactions on Electromagnetic Compatibility, 2020
Angelo Gifuni, Stefano Perna
exaly  

A novel binomial expansion method for evaluating a Neumann series for the response of a perturbed system

Journal of Sound and Vibration, 2020
Alyssa T Liem, J Gregory McDaniel
exaly  

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