2005
DOI: 10.1007/s10915-004-4152-6
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High-order RKDG Methods for Computational Electromagnetics

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Cited by 79 publications
(63 citation statements)
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“…It is possible to extend these results to the case of a constant linear operator with a time dependent forcing term [6,30]. This is a case which arises in linear PDEs with time dependent boundary conditions such as Maxwell's equations which arise in computational electromagnetics (see [2]), and can be written as:…”
Section: Optimal Methods For Linear Constant Coefficient Problemsmentioning
confidence: 99%
“…It is possible to extend these results to the case of a constant linear operator with a time dependent forcing term [6,30]. This is a case which arises in linear PDEs with time dependent boundary conditions such as Maxwell's equations which arise in computational electromagnetics (see [2]), and can be written as:…”
Section: Optimal Methods For Linear Constant Coefficient Problemsmentioning
confidence: 99%
“…To obtain highly accurate and stable DG methods, suitable numerical fluxes need to be designed over elemental interfaces. The construction of such numerical fluxes can be done in many different ways, related closely to the particular equation at hand, and is particularly powerful when one considers nonlinear conservation laws [7,18,23]. The discontinuous Galerkin method has become very popular in recent years for solving electromagnetic wave propagation problems [18,23].…”
Section: Introductionmentioning
confidence: 99%
“…The DG method is flexible with regards to the choice of the time stepping scheme. One may combine the DG spatial discretization with any global [7,10,18] or local [31,34] explicit time integration scheme, or implicit scheme [6], or even a blending between these two schemes [15,25] provided that the resulting scheme will be stable.…”
Section: Introductionmentioning
confidence: 99%
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“…[7,5,9,13,12,15,16,33,34,8]). The readers can find more references in some recent books [2,18,35] and conference proceedings [1,3,10].…”
Section: Introductionmentioning
confidence: 99%