Class Summary |
ConstantWeight |
Constant Weight function
The result is always 1.0 |
ErfcStddevWeight |
Gaussian Error Function Weight function, scaled using stddev. |
ErfcWeight |
Gaussian Error Function Weight function, scaled such that the result it 0.1
at distance == max
erfc(1.1630871536766736 * distance / max)
The value of 1.1630871536766736 is erfcinv(0.1), to achieve the intended
scaling. |
ExponentialStddevWeight |
Exponential Weight function, scaled such that the result it 0.1 at distance
== max
stddev * exp(-.5 * distance/stddev)
This is similar to the Gaussian weight function, except distance/stddev is
not squared. |
ExponentialWeight |
Exponential Weight function, scaled such that the result it 0.1 at distance
== max
exp(-2.3025850929940455 * distance/max)
This is similar to the Gaussian weight function, except distance/max is not
squared |
GaussStddevWeight |
Gaussian Weight function, scaled such using standard deviation
factor * exp(-.5 * (distance/stddev)^2)
with factor being 1 / sqrt(2 * PI) |
GaussWeight |
Gaussian Weight function, scaled such that the result it 0.1 at distance ==
max
exp(-2.3025850929940455 * (distance/max)^2) |
InverseLinearWeight |
Inverse Linear Weight Function. |
InverseProportionalStddevWeight |
Inverse proportional weight function, scaled using the standard deviation.
1 / (1 + distance/stddev) |
InverseProportionalWeight |
Inverse proportional weight function, scaled using the maximum.
1 / (1 + distance/max) |
LinearWeight |
Linear weight function, scaled using the maximum such that it goes from 1.0
to 0.1
1 - 0.9 * (distance/max) |
QuadraticStddevWeight |
Quadratic weight function, scaled using the standard deviation. |
QuadraticWeight |
Quadratic weight function, scaled using the maximum to reach 0.1 at that
point.
1.0 - 0.9 * (distance/max)^2 |