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α l ¼ B l y
B l
λ
C l þ B l
ð 7
:
26 Þ
with the matrices
and
j, k ¼ M ∇ϕ l , j , ∇ϕ l , k
j, i ¼ ϕ l , j x ðÞ ,
,2 l t , t ¼ 1,
j t , k t ¼ 0,
...
...
, d , i ¼ 1,
...
, M , and the unknown vector
αð j , j t ¼
,2 l t , t ¼ 1,
0,
, d . We then solve these problems by a feasible method.
To this end we use here a diagonally preconditioned conjugate gradient algorithm.
But also an appropriate multigrid method with partial semi-coarsening can be
applied. The discrete solutions f l are contained in the spaces V l (see ( 7.11 ))
of piecewise d -linear functions on grid
...
...
Ω l .
Note that all these problems are substantially reduced in size in comparison to
( 7.8 ). Instead of one problem with the size dim( V n ) ¼ O ( h n ) ¼ O (2 nd ), we now
have to deal with O ( dn d 1 ) problems of size dim( V l ) ¼ O ( h n ) ¼ O (2 n ).
Moreover, all these problems can be solved independently which allows for
a straightforward parallelization on a coarse grain level; see [Gri92]. Also there
is a simple but effective static load balancing strategy available.
Finally, we linearly combine the results f l (x) ¼ j α l,j ϕ l,j (x)
V l from the
Ω l as follows:
different grids
X
ð n ðÞ:¼ X
d 1
0 ðÞ
q d 1
q
f
f 1 ðÞ:
ð 7
:
27 Þ
jj 1 ¼nþ d 1
ð
Þ q
The resulting function f ðcÞ
lives in the above-defined sparse grid space V ðsÞ
(but
n
n
now with l t >
0in( 7.21 )).
The combination technique can be interpreted as a certain multivariate extrap-
olation method which works on a sparse grid space; for details see [GSZ92]. The
combination solution f ðcÞ
n is in general not equal to the Galerkin solution f ðs n , but its
accuracy is usually of the same order; see [GSZ92]. To this end, a series expansion
of the error is necessary. Its existence was shown for PDE-model problems in
[BGRZ94].
Note that the summation of the discrete functions from different spaces V l in
( 7.27 ) involves d -linear interpolation which resembles just the transformation to a
representation in the hierarchical basis ( 7.19 ). However, we never explicitly assem-
ble the function f ðc n but rather keep the solutions f l on the different grids
Ω l which
arise in the combination formula. Now, any linear operation F on f ðc n can easily be
expressed by means of the combination formula ( 7.27 ) acting directly on the
functions f l , i.e.,
X
¼ X
d 1
0 ðÞ
d 1
d
d
Ff ðÞ
n
FfðÞ:
ð 7
:
28 Þ
jj¼nþ d 1
ð
Þ q
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