2020
DOI: 10.1016/j.apnum.2019.11.009
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High-order stroboscopic averaging methods for highly oscillatory delay problems

Abstract: We introduce and analyze a family of heterogeneous multiscale methods for the numerical integration of highly oscillatory systems of delay differential equations with constant delays. The methodology suggested provides algorithms of arbitrarily high accuracy.Mathematical Subject Classification (2010) 65L03, 34C29 Keywords Delay differential equations, stroboscopic averaging, highly oscillatory problems IntroductionThis paper suggests and analyzes heterogeneous multiscale methods [10,11,13,12,18,1,23,5] for the… Show more

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Cited by 1 publication
(3 citation statements)
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References 27 publications
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“…To conclude let us point out that, for ordinary differential equations, it is possible to compute numerically a stroboscopically averaged solution Ξ without the explicit knowledge of the corresponding averaged system; the information on the averaged system required by the integrator is derived by numerically simulating the oscillatory system (1) [3,4]. Such techniques have been extended to delay differential equations [22,5].…”
Section: Resultsmentioning
confidence: 99%
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“…To conclude let us point out that, for ordinary differential equations, it is possible to compute numerically a stroboscopically averaged solution Ξ without the explicit knowledge of the corresponding averaged system; the information on the averaged system required by the integrator is derived by numerically simulating the oscillatory system (1) [3,4]. Such techniques have been extended to delay differential equations [22,5].…”
Section: Resultsmentioning
confidence: 99%
“…In this way, the time-dependent change of variables ξ → Ξ in (4) transforms the given highly oscillatory initial value problem into the initial value problem (5) where there is no periodic forcing. Therefore (5) provides an averaged version of (1). In addition, the coefficients κ w (θ) are such that, at θ = 2kπ, k = 0, 1, 2, .…”
Section: Preliminariesmentioning
confidence: 99%
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