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PDF file - Johannes Kepler University, Linz - JKU

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CHAPTER 3. MULTIGRID METHODS 44<br />

Choice of C nodes. What still has to be fixed is a concrete C/F-splitting. A very easy<br />

to implement algorithm for this purpose is the red-black-coloring method [Kic98].<br />

Algorithm 3.10. Red-Black Coloring<br />

repeat until all the nodes are colored<br />

begin<br />

step 1: choose an uncolored node (e.g. with minimal node number);<br />

step 2: this node is colored black;<br />

step 3: all uncolored neighbors are colored red;<br />

end<br />

The black nodes are then used as C nodes.<br />

A first variation of this algorithm is to use a different notion of ‘neighboring’ in step 3,<br />

to color only the strongly negatively coupled (snc) nodes, where a node j is said to be snc<br />

to a node k if<br />

−h jk ≥ ε str max |h − ji |, (3.18)<br />

i<br />

with fixed parameter ε str ∈ (0, 1] (typically ε str = 0.25). We denote the set of strongly<br />

negative couplings of a node j by<br />

and the set of transposed strongly negative couplings by<br />

Now step 3 can be replaced by<br />

S j = {k ∈ N j : j is snc to k} (3.19)<br />

S T j = {k : j ∈ S k }. (3.20)<br />

“all uncolored nodes which are snc to the black node are colored red”. (3.21)<br />

Another variant concerns step 1. The order in which the C nodes are chosen may be<br />

crucial if we want to obtain a uniform distribution of C and F nodes. One suggestion in<br />

this direction in [RS86] is to introduce a “measure of importance” λ j for each node j in<br />

the set of ‘undecided’ nodes U, and to choose a node with maximal λ j as next C node.<br />

One possibility for this measure is<br />

λ j = |S T j ∩ U| + 2|ST j<br />

∩ F |, (3.22)<br />

which can be evaluated for all nodes in a preprocessing step and updated locally after each<br />

iteration step.

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