2016
DOI: 10.1090/mcom/3195
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Analysis of a hybridizable discontinuous Galerkin method for the steady-state incompressible Navier-Stokes equations

Abstract: We present the first a priori error analysis of the hybridizable discontinuous Galerkin method for the approximation of the Navier-Stokes equations proposed in J. Comput. Phys. vol. 230 (2011), pp. 1147-1170. The method is defined on conforming meshes made of simplexes and provides piecewise polynomial approximations of fixed degree k to each of the components of the velocity gradient, velocity and pressure. For the stationary case, and under the usual smallness condition for the source term, we prove that the… Show more

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Cited by 102 publications
(88 citation statements)
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“…This method uses P k (T h ), row-wise k-th order RT space and P k (T h ) to approximate the velocity gradient, stress and velocity, respectively. The convergence of the velocity gradient and velocity in L 2 -norm and the stress in H(div)-norm is of order k. More recently, in 2015, Cockburn et al [6] gave an error analysis of the HDG method developed in [23] which is close to method in this paper. Our method may be criticized by the fact that with the modification of the scheme, we no longer have the local conservation of the momentum.…”
Section: Introductionmentioning
confidence: 55%
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“…This method uses P k (T h ), row-wise k-th order RT space and P k (T h ) to approximate the velocity gradient, stress and velocity, respectively. The convergence of the velocity gradient and velocity in L 2 -norm and the stress in H(div)-norm is of order k. More recently, in 2015, Cockburn et al [6] gave an error analysis of the HDG method developed in [23] which is close to method in this paper. Our method may be criticized by the fact that with the modification of the scheme, we no longer have the local conservation of the momentum.…”
Section: Introductionmentioning
confidence: 55%
“…Our formulation is close to that of the HDG method in [6,23], in which they have the same global degrees of freedom u h . Nevertheless, there are three crucial differences which lead to special properties of our HDG method.…”
Section: Introductionmentioning
confidence: 78%
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