2008
DOI: 10.1016/j.jcp.2008.04.002
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On sub-linear convergence for linearly degenerate waves in capturing schemes

Abstract: A common attribute of capturing schemes used to find approximate solutions to the Euler equations is a sub-linear rate of convergence with respect to mesh resolution. Purely nonlinear jumps, such as shock waves produce a first-order convergence rate, but linearly degenerate discontinuous waves, where present, produce sub-linear convergence rates which eventually dominate the global rate of convergence. The classical explanation for this phenomenon investigates the behavior of the exact solution to the numerica… Show more

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Cited by 95 publications
(82 citation statements)
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“…However, the velocity v converges as O(h 2 x ) in the L 1 -norm but the degraded rate of O(h 4/3 x ) for the L ∞ -norm. This somewhat surprising behavior is the result of the sharp switch introduced by the MinMod limiter and is similar to behavior exhibited by high-resolution schemes for the first-order system [19].…”
Section: One-dimensional Traveling Sine Wavesupporting
confidence: 69%
See 1 more Smart Citation
“…However, the velocity v converges as O(h 2 x ) in the L 1 -norm but the degraded rate of O(h 4/3 x ) for the L ∞ -norm. This somewhat surprising behavior is the result of the sharp switch introduced by the MinMod limiter and is similar to behavior exhibited by high-resolution schemes for the first-order system [19].…”
Section: One-dimensional Traveling Sine Wavesupporting
confidence: 69%
“…All the schemes under consideration converge at the rate O(h p/p+1 x ) where p is the nominal convergence rate for the scheme for smooth problems. These are the expected convergence rates for numerical approximations to the first-order system with jump initial data [19].…”
Section: One-dimensional Top-hat Problemmentioning
confidence: 92%
“…In Figure 4, plots of the approximate solution and error show that the error field has singularities where the solution crosses through zero, i.e., where the upwind scheme changes its stencil. Degraded convergence is well known in the presence of singularities [28]. We note that the error estimate is still asymptotically correct in any L p -norm.…”
Section: Properties For Non-smooth Discretizationsmentioning
confidence: 64%
“…The large error introduced near the extrema impacts the L ∞ error norm most, and we see convergence rates that trend towards a value of 4/3 . Interestingly, this is the expected rate of convergence near a slope discontinuity for a second order scheme [28]. The L 1 error norm is less sensitive and asymptotically tends to the rate of two.…”
Section: Error Evolution For Nonlinear Discretizationsmentioning
confidence: 73%
“…This was likely due to the complexity of the flow physics. It has been noted in literature that in the presence of discontinuities, non-monotonic behaviour such as that shown in the Figure 3.4 is to be expected (Oberkampf and Roy, 2010) and no matter what the solver's formal solution order, the solution order becomes linear in the vicinity of shock waves (Banks et al, 2008).…”
Section: Grid Convergence Behaviourmentioning
confidence: 84%