Enum NoiseMethod 

pub enum NoiseMethod {
    Saa,
    Lhs,
    QmcSobol,
    QmcHalton,
    Selective,
}

Opening tree noise generation algorithm for a stage.

Controls which algorithm is used to generate noise vectors for the opening tree at this stage. This is orthogonal to SamplingScheme, which selects the forward-pass noise source (in-sample, external, historical). NoiseMethod governs how the noise vectors are produced (SAA, LHS, QMC-Sobol, QMC-Halton, Selective).

See Input Scenarios §1.8 for the full method catalog and use cases.

Variants

Saa

Sample Average Approximation. Pure Monte Carlo random sampling.

Lhs

Latin Hypercube Sampling. Stratified sampling ensuring uniform coverage.

QmcSobol

Quasi-Monte Carlo with Sobol sequences. Low-discrepancy.

QmcHalton

Quasi-Monte Carlo with Halton sequences. Low-discrepancy.

Selective

Selective/Representative Sampling. Clustering on historical data.

Trait Implementations

impl Clone for NoiseMethod

fn clone(&self) -> NoiseMethod

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for NoiseMethod

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for NoiseMethod

fn eq(&self, other: &NoiseMethod) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for NoiseMethod

impl Eq for NoiseMethod

impl StructuralPartialEq for NoiseMethod