2012
DOI: 10.1093/imanum/drs028
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Convergence analysis of an adaptive interior penalty discontinuous Galerkin method for the Helmholtz equation

Abstract: Abstract. We are concerned with a convergence analysis of an adaptive Interior Penalty Discontinuous Galerkin (IPDG) method for the numerical solution of acoustic wave propagation problems as described by the Helmholtz equation. The mesh adaptivity relies on a residual-type a posteriori error estimator that does not only control the approximation error but also the consistency error caused by the nonconformity of the approach. As in the case of IPDG for standard second order elliptic boundary value problems, t… Show more

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Cited by 19 publications
(18 citation statements)
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“…General techniques of a posteriori error estimation for elliptic problems are described in [2], [39], [45] while the focus in [15] is on dG-methods. A posteriori error estimation for the conventional conforming discretization of the Helmholtz problem are described in [16] and for an IPDG method in [26]. For the derivation of an a posteriori error estimator for the dG-formulation of the Helmholtz problem the main challenges are a) the lower order term −k 2 (·, ·) in the sesquilinear forms a (·, ·) and a T (·, ·), which causes the problem to be highly indefinite and b) the integrals in (2.8b) containing the mean of the gradient on interior edges, which have the effect that a T (·, ·) + 2k 2 (·, ·) L 2 is not coercive on H…”
Section: A Posteriori Error Estimationmentioning
confidence: 99%
See 1 more Smart Citation
“…General techniques of a posteriori error estimation for elliptic problems are described in [2], [39], [45] while the focus in [15] is on dG-methods. A posteriori error estimation for the conventional conforming discretization of the Helmholtz problem are described in [16] and for an IPDG method in [26]. For the derivation of an a posteriori error estimator for the dG-formulation of the Helmholtz problem the main challenges are a) the lower order term −k 2 (·, ·) in the sesquilinear forms a (·, ·) and a T (·, ·), which causes the problem to be highly indefinite and b) the integrals in (2.8b) containing the mean of the gradient on interior edges, which have the effect that a T (·, ·) + 2k 2 (·, ·) L 2 is not coercive on H…”
Section: A Posteriori Error Estimationmentioning
confidence: 99%
“…In contrast, we do not prove the convergence of the resulting adaptive method for our dG-formulation. On the other hand, our estimators are properly weighted with the polynomial degree and the estimates are explicit with respect to the wavenumber k, the mesh width h, and the polynomial degree p. In addition, the dependence of the constants in the estimates on the wavenumber k are milder in our approach compared to [26]; b) In [16], a residual a posteriori error estimator (cf. [5], [6], [2], [45]) has been developed for the conventional hp-finite element method.…”
Section: Introductionmentioning
confidence: 99%
“…where The exact solution u is not known explicitly. As a substitute for the exact solution we have used an approximate solution u s computed by the adaptive Interior Penalty Discontinuous Galerkin method from [12] with a sufficiently large number of refinement steps. For ω = 15, the approximate solution u s is displayed in Figure 6.6 (right).…”
Section: Projected Gradient Methodmentioning
confidence: 99%
“…Example 2: The computational domain Ω and the simplicial triangulation T h (Ω) for the PWDG method (left; the sound-soft scatterer is shown in blue). The substitute solution us computed by the adaptive Interior Penalty Discontinuous Galerkin method from[12] (right).…”
mentioning
confidence: 99%
“…They have been in recent years among the primary candidates for solving problems involving convection/diffusion terms as well as reaction terms (see, e.g., [36,37] and the references cited therein). These methods received, more recently, a great deal of attention for wave problems, as attested by the various formulations that have been proposed for solving Helmholtz problems [10,[13][14][15][16][17][38][39][40][41][42][43]. This category of methods is very attractive because of several considerations, chief among them are the following:They offer cost-effective procedures for linking separate elements/domains in each of which finite elements, or plane waves, or any expansion series are used for approximation.…”
mentioning
confidence: 99%