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Mathematical Methods in the Applied Sciences
Article . 2016 . Peer-reviewed
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zbMATH Open
Article . 2017
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Modified poisson series to implement the method of multiple scales

Modified Poisson series to implement the method of multiple scales
Authors: Navarro, Juan F.;

Modified poisson series to implement the method of multiple scales

Abstract

The method of multiple scales is a global perturbation technique that has resulted to be very useful in perturbed ordinary differential equations characterized by disparate time scales. The general principle behind the method is that the solution to the differential equation is uniformly expanded in terms of two or more independent variables, referred to as time scales. In this article, we present a mathematical object based on a Poisson series to apply the method of multiple scales via specific symbolic computation. Copyright © 2016 John Wiley & Sons, Ltd.

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Keywords

perturbation methods, Asymptotic approximations, asymptotic expansions (steepest descent, etc.), Analytical theory of ordinary differential equations: series, transformations, transforms, operational calculus, etc., Method of multiple scales, Poisson series, Matemática Aplicada, Multiple scale methods for ordinary differential equations, Perturbation methods, Symbolic computation and algebraic computation, symbolic computation, Symbolic computation, method of multiple scales

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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