Errors for calculations of strong shocks using an artificial viscosity and artificial heat flux
Journal of Computational Physics
Simplified second-order Godunov-type methods
SIAM Journal on Scientific and Statistical Computing
An approximate linearised Riemann solver for the Euler equations for real gases
Journal of Computational Physics
Efficient implementation of essentially non-oscillatory shock-capturing schemes,II
Journal of Computational Physics
Splitting of inviscid fluxes for real gases
Journal of Computational Physics
The behavior of flux difference splitting schemes near slowly moving shock waves
Journal of Computational Physics
On Godunov-type methods near low densities
Journal of Computational Physics
SIAM Journal on Scientific and Statistical Computing
Local piecewise hyperbolic reconstruction of numerical fluxes for nonlinear scalar conservation laws
SIAM Journal on Scientific Computing
Weighted essentially non-oscillatory schemes
Journal of Computational Physics
Efficient implementation of weighted ENO schemes
Journal of Computational Physics
Capturing shock reflections: an improved flux formula
Journal of Computational Physics
On postshock oscillations due to shock capturing schemes in unsteady flows
Journal of Computational Physics
An isobaric fix for the overheating problem in multimaterial compressible flows
Journal of Computational Physics
Hi-index | 31.45 |
We present and analyze the performance of a nonlinear, upwind flux split method for approximating solutions of hyperbolic conservation laws. The method is based on a new version of the single-state-approximate Riemann solver devised by Harten, Lax, and van Leer (HLL) and implemented by Einfeldt. It makes use of two-sided local characteristic variables to reduce the dissipation of HLL by introducing the flavor of HLL into the Steger--Warming flux vector splitting scheme. We use the characteristic decomposition and the method-of-lines approach to construct high-order versions of the first-order scheme and demonstrate their efficiency and robustness in several numerical tests.