[][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