Enum SamplingScheme 

pub enum SamplingScheme {
    InSample,
    External,
    Historical,
}

Forward-pass noise source for multi-stage optimization solvers.

Determines where the forward-pass scenario realisations come from. This is orthogonal to NoiseMethod, which controls how the opening tree is generated during the backward pass. SamplingScheme selects the source of forward-pass noise; NoiseMethod selects the algorithm used to produce backward-pass openings.

See Input Scenarios §1.8 for the full catalog.

Examples

use cobre_core::scenario::SamplingScheme;

let scheme = SamplingScheme::InSample;
// SamplingScheme is Copy
let copy = scheme;
assert_eq!(scheme, copy);

Variants

InSample

Forward pass uses the same opening tree generated for the backward pass. This is the default for the minimal viable solver.

External

Forward pass draws from an externally supplied scenario file.

Historical

Forward pass replays historical inflow realisations in sequence or at random.

Trait Implementations

impl Clone for SamplingScheme

fn clone(&self) -> SamplingScheme

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SamplingScheme

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

Formats the value using the given formatter.

impl PartialEq for SamplingScheme

fn eq(&self, other: &SamplingScheme) -> 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 SamplingScheme

impl Eq for SamplingScheme

impl StructuralPartialEq for SamplingScheme