2008
DOI: 10.1016/j.jcp.2007.11.011
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A high-order accurate unstructured finite volume Newton–Krylov algorithm for inviscid compressible flows

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Cited by 79 publications
(71 citation statements)
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References 41 publications
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“…The computation of stationary solutions to hyperbolic equations is rarely performed with implicit solvers. Their development has been pursued by several groups [10][11][12][13] for the Euler equations. However, many existing schemes employ linearizable/differentiable limiters, are conditionally stable, and the rate of steady-state convergence deteriorates if the CFL number exceeds a certain upper bound.…”
Section: Introductionmentioning
confidence: 99%
“…The computation of stationary solutions to hyperbolic equations is rarely performed with implicit solvers. Their development has been pursued by several groups [10][11][12][13] for the Euler equations. However, many existing schemes employ linearizable/differentiable limiters, are conditionally stable, and the rate of steady-state convergence deteriorates if the CFL number exceeds a certain upper bound.…”
Section: Introductionmentioning
confidence: 99%
“…Of course, shocks and vortices still require an adequate local mesh to catch all the structures but high-order schemes prove to be efficient in reducing the numerical diffusion. For instance the k-exact reconstruction [3,4,34] increases the method accuracy using quadratic or cubic polynomial approximations [32,35,36]. Nevertheless, traditional TVD (Total Variation Diminishing) limiting procedures drastically reduce the order of accuracy despite the construction of alternative limiters [45,33] to enhance the quality of the solution.…”
mentioning
confidence: 99%
“…Identifying a suitable collection of cells from the original block and its neighbors is therefore not trivial. In the fully unstructured and "mesh-free" computational-fluid-dynamics literature, one technique for reconstruction is least-squares interpolation [3,4,24,15,27,23,19,8], which does not presume any underlying spatial relationship between the values used in the interpolation. This is the approach we take here.…”
Section: Major Radiusmentioning
confidence: 99%