2007
DOI: 10.1002/num.20252
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Improving the performance of perfectly matched layers by means of hp‐adaptivity

Abstract: We improve the performance of the Perfectly Matched Layer (PML) by using an automatic hp-adaptive discretization. By means of hp-adaptivity, we obtain a sequence of discrete solutions that converges exponentially to the continuum solution. Asymptotically, we thus recover the property of the PML of having a zero reflection coefficient for all angles of incidence and all frequencies on the continuum level. This allows us to minimize the reflections from the discrete PML to an arbitrary level of accuracy while re… Show more

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Cited by 61 publications
(24 citation statements)
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“…We follow the choices made in the derivation of the original formulation, and relax or keep in the strong form the same equations, comp. [19,17]. When integrating over the stretched domain, we need to account for the Jacobian of the stretching,…”
Section: Pml In Cartesian Coordinatesmentioning
confidence: 99%
“…We follow the choices made in the derivation of the original formulation, and relax or keep in the strong form the same equations, comp. [19,17]. When integrating over the stretched domain, we need to account for the Jacobian of the stretching,…”
Section: Pml In Cartesian Coordinatesmentioning
confidence: 99%
“…Mapping (3) is introduced into (1) and the stretching yields to complex material constants (see [36] for details). Different mappings can be selected yielding to different PML "profiles".…”
Section: Perfectly Matched Layers (Pml)mentioning
confidence: 99%
“…However, their contributions to the error are not taken into account in the comparison. Although hp-adaptivity has demonstrated to accurately resolve (in contrast to classical FE discretizations) the electromagnetic field, independently of the PML profile [36,37], there is an optimum profile (in terms of the number of unknowns needed to achieve a given level of accuracy of the field solution), which is problem dependent.…”
Section: Perfectly Matched Layers (Pml)mentioning
confidence: 99%
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“…(iii) Use hp-adaptivity, e.g. a technique similar to [41] for PML and [18] for DtN, to reduce the errors in the target eigenvalues. (iv) Check that the new eigenpars significantly reduce the residual in the Lippmann-Schwinger equation.…”
Section: Introductionmentioning
confidence: 99%