Note that the polynomial pieces of are supported in the cells,
,
with interfacing breakpoints at the half-integers gridpoints,
.
We recall that upwind schemes (1.2.5) were based on sampling
(1.2.4) in the midcells, . In contrast, central
schemes are based on sampling (1.2.8) at the interfacing breakpoints,
, which yields
We want to utilize (1.2.9) in terms of the known cell averages at time
level . The remaining task is therefore
to recover the pointvalues
,
and in particular, the staggered averages,
. As before, this task is accomplished in two main steps:
Figure 1.2.2: Central differencing by Godunov-type scheme.
It is the staggered averaging over the fan of left-going
and right-going waves centered at the half-integered interfaces,
, which characterizes the central
differencing, consult Figure 1.2.2.
A main feature of these central schemes - in contrast to upwind ones, is the
computation of smooth numerical fluxes along the mid-cells,
, which avoids the costly (approximate)
Riemann solvers. A couple of examples of central Godunov-type
schemes is in order.
The first-order Lax-Friedrichs (LxF) approximation
is the forerunner for such central schemes -- it is based on
piecewise constant reconstruction,
with
. The resulting central scheme, (1.2.12),
then reads
(with the usual fixed mesh ratio
)
Our main focus in the rest of this chapter is on non-oscillatory higher-order
extensions of the LxF schemes.