[−][src]Function oars::oa::normalize
pub fn normalize<T: Integer, U: Float>(
oa: &OA<T>,
jitter: U,
randomize: bool
) -> OarsResult<Array2<U>>
Normalize an orthogonal array into a point set using Art Owen's normalization technique. This method takes a regular orthogonal array, and converts it into a point set in the $[0, 1)^m$ domain, so that it can be used as a sampling point set for Monte Carlo integration.
Note: it is unknown whether this method will work with construction techniques other than Bose and Bush construction.
Args:
- jitter: The factor between 0 and 1 to jitter by, within each strata
- randomize: Whether the orthogonal array should be randomly shuffled when generating points