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Fig. 7.12 Illustration of the
updating formula (7.91); u 4 is
computed from u 3 , u 4 ,and u 5
t
t 3
Δ t
t 2
t 1
t 0
x 0
x 1
x 2
x 3
x 4
x 5
x 6
x 7
x 8
x 9
x
Δ x
new time level
1
s
s
previous time level
1−2s
t
x
Fig. 7.13 Illustration of the computational molecule corresponding to the finite difference scheme
(7.91). The weight s is equal to t =x 2
to the circles in Fig. 7.12 as a computational molecule , especially if we write the
weights inside the circles and connect the circles by lines, as depicted in Fig. 7.13 .
Because new u `C1
i
values can be computed explicitly from a simple formula,
where all the quantities are known, we refer to the finite difference scheme as
explicit . The scheme is often referred to as the explicit Euler scheme or the for-
ward Euler scheme (the term “forward” relates to the forward difference in time).
The opposite type of schemes, the so-called implicit schemes, typically couple all
the new u `C1
i
values for i D 0;:::;n in a linear system. This means that we need
to solve a linear system to find the u values at a new time level. Implicit schemes
hence imply a more complicated computational procedure, but implicit schemes
have some numerical advantages over explicit schemes. Section 7.5 is devoted to
implicit schemes for diffusion problems.
 
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