2010
DOI: 10.1016/j.cam.2010.04.028
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Explicit local time-stepping methods for Maxwell’s equations

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Cited by 62 publications
(51 citation statements)
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“…Assuming (1.3), one of the results states that if τ ∼ h its second ODE order is maintained for h → 0 (no order reduction with stiff source terms). Another result is that, with zero source terms, 4) showing that the conservation behavior is actually very good. Herewith it is of course tacitly assumed that τ is limited such that the method integrates in a stable way, something which cannot be concluded from this result due to the minus sign in front of the third term.…”
Section: The Composition Scheme and The Trapezoidal Rulementioning
confidence: 97%
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“…Assuming (1.3), one of the results states that if τ ∼ h its second ODE order is maintained for h → 0 (no order reduction with stiff source terms). Another result is that, with zero source terms, 4) showing that the conservation behavior is actually very good. Herewith it is of course tacitly assumed that τ is limited such that the method integrates in a stable way, something which cannot be concluded from this result due to the minus sign in front of the third term.…”
Section: The Composition Scheme and The Trapezoidal Rulementioning
confidence: 97%
“…1, the method from [2] and [4] also serves to overcome step size limitations by grid-induced stiffness. That method is designed for second-order wave equations and the work reported focuses also on the Maxwell equations.…”
Section: Future Workmentioning
confidence: 99%
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“…By combining a symplectic integrator with a DG discretization of Maxwell's equations in first-order form, Piperno [18] proposed a second-order explicit local time-stepping scheme, which also conserves a discrete energy. Starting from the standard LF method, the authors proposed energy conserving fully explicit LTS integrators of arbitrarily high accuracy for the wave equation [1]; that approach was extended to Maxwell's equations in [19]. An hp-version, where not only the time-step but also the order of approximation is adapted within di↵erent regions of the mesh, was proposed in [20] and later applied to a realistic geological model [21].…”
Section: Introductionmentioning
confidence: 99%