2014
DOI: 10.1007/978-3-319-05789-7_56
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Optimized Schwarz Methods for Curl-Curl Time-Harmonic Maxwell’s Equations

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Cited by 7 publications
(17 citation statements)
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“…The results for (12) can be obtained similarly: we get −λL is of the same form shown in (37). One only has to take the coefficients α,α, β,β from (36) for the algorithm using transmission conditions (11), and from (39) for the algorithms using transmission conditions (12).…”
Section: Theorem 1 (Convergence Factors)mentioning
confidence: 88%
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“…The results for (12) can be obtained similarly: we get −λL is of the same form shown in (37). One only has to take the coefficients α,α, β,β from (36) for the algorithm using transmission conditions (11), and from (39) for the algorithms using transmission conditions (12).…”
Section: Theorem 1 (Convergence Factors)mentioning
confidence: 88%
“…for more details, see [11]. Using the TE-TM decomposition, we show in the next section that the two general forms of transmission conditions (11) and (12) lead apart from a few subtleties to optimized Schwarz methods with the same contraction factor, and therefore the complete optimization results obtained in [12] for the first order formulation (2) can be used for all these families of Schwarz methods for the curl-curl formulation (3) to obtain the fastest methods in each class.…”
Section: Optimized Schwarz Algorithmsmentioning
confidence: 99%
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“…The first developments in this direction were introduced by Després [13,14], who used simple impedance boundary conditions on the interfaces. A great variety of more general impedance conditions has been proposed since these early works, leading to so-called optimized Schwarz domain decomposition methods for time-harmonic wave problems [1,9,10,11,14,15,16,19,20,25,27,43,44,45]. These methods can be used with or without overlap between the subdomains, and their convergence rate strongly depends on the transmission condition.…”
Section: Introductionmentioning
confidence: 99%
“…However, using the DtN leads to a very expensive numerical procedure in practice, as this operator is non-local. Practical algorithms are thus based on local approximations of these operators, both for the acoustic case [13,9,10,11,27] and the electromagnetic one [1,14,15,16,20,21,43,44,45]. Recently, PMLs have also been used for this same purpose [23,47,51,52].…”
Section: Introductionmentioning
confidence: 99%