Laplace Smoothing
Double X
We examine the most basic type of smoothing, Laplace smoothing, , without hierarchical control, with the Double X example.
Figure: The Double X two-element example.
Table. The neighborhoods table. A node, with its neighbors, is considered a single neighborhood. The table has twelve neighborhoods.
node | node neighbors |
---|---|
1 | 2, 4, 7 |
2 | 1, 3, 5, 8 |
3 | 2, 6, 9 |
4 | 1, 5, 10 |
5 | 2, 4, 6, 11 |
6 | 3, 5, 12 |
7 | 1, 8, 10 |
8 | 2, 7, 9, 11 |
9 | 3, 8, 12 |
10 | 4, 7, 11 |
11 | 5, 8, 10, 12 |
12 | 6, 9, 11 |
Hierarchy
Following is a test where all nodes are BOUNDARY
from the Hierarchy
enum.
node_hierarchy: NodeHierarchy = (
Hierarchy.BOUNDARY,
Hierarchy.BOUNDARY,
Hierarchy.BOUNDARY,
Hierarchy.BOUNDARY,
Hierarchy.BOUNDARY,
Hierarchy.BOUNDARY,
Hierarchy.BOUNDARY,
Hierarchy.BOUNDARY,
Hierarchy.BOUNDARY,
Hierarchy.BOUNDARY,
Hierarchy.BOUNDARY,
Hierarchy.BOUNDARY,
)
Since there are no
INTERIOR
nodes norPRESCRIBED
nodes, the effect of hiearchical smoothing is nill, and the same effect would be observed were all nodes categorized asINTERIOR
nodes.
Iteration 1
Table: The smoothed configuration (x, y, z)
after one iteration of Laplace smoothing.
node | x | y | z |
---|---|---|---|
1 | 0.1 | 0.1 | 0.1 |
2 | 1.0 | 0.075 | 0.075 |
3 | 1.9 | 0.1 | 0.1 |
4 | 0.1 | 0.9 | 0.1 |
5 | 1.0 | 0.925 | 0.075 |
6 | 1.9 | 0.9 | 0.1 |
7 | 0.1 | 0.1 | 0.9 |
8 | 1.0 | 0.075 | 0.925 |
9 | 1.9 | 0.1 | 0.9 |
10 | 0.1 | 0.9 | 0.9 |
11 | 1.0 | 0.925 | 0.925 |
12 | 1.9 | 0.9 | 0.9 |
Figure: Two element test problem (left) original configuration, (right) subject to two iterations of Laplace smoothing.
Iteration 2
node | x | y | z |
---|---|---|---|
1 | 0.19 | 0.1775 | 0.1775 |
2 | 1.0 | 0.1425 | 0.1425 |
3 | 1.81 | 0.1775 | 0.1775 |
4 | 0.19 | 0.8225 | 0.1775 |
5 | 1.0 | 0.8575 | 0.1425 |
6 | 1.81 | 0.8225 | 0.1775 |
7 | 0.19 | 0.1775 | 0.8225 |
8 | 1.0 | 0.1425 | 0.8575 |
9 | 1.81 | 0.1775 | 0.8225 |
10 | 0.19 | 0.8225 | 0.8225 |
11 | 1.0 | 0.8575 | 0.8575 |
12 | 1.81 | 0.8225 | 0.8225 |
Figure: Two element test problem (left) original configuration, (right) subject to two iterations of Laplace smoothing.
Iteration 100
A known drawback of Laplace smoothing is that it can fail to preserve volumes. In the limit, volumes get reduced to a point, as illustrated in the figure below.
Figure: Two element test problem (left) original configuration, (right) subject to [1, 2, 3, 4, 5, 10, 20, 30, 100
iterations of Laplace smoothing. Animation created with Ezgif.