Enum BackgroundModel 

pub enum BackgroundModel {
    Polynomial(PolynomialBackground),
    Chebyshev(ChebyshevBackground),
    Point(PointBackground),
    Amorphous(AmorphousBackground),
    Composite(CompositeBackground),
}

Closed native union used by application-neutral request records.

Variants

Polynomial(PolynomialBackground)

Normalized-coordinate power series.

Chebyshev(ChebyshevBackground)

Explicit-domain Chebyshev series.

Point(PointBackground)

Fixed-knot linear interpolation.

Amorphous(AmorphousBackground)

Broad Gaussian components.

Composite(CompositeBackground)

Ordered additive nested composition.

Trait Implementations

impl Clone for BackgroundModel

fn clone(&self) -> BackgroundModel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for BackgroundModel

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

Formats the value using the given formatter.

impl DifferentiableBackground for BackgroundModel

fn background_id(&self) -> &str

Stable model identifier.

fn parameter_names(&self) -> Vec<String>

Stable parameter names in coefficient order.

fn coefficients(&self) -> Vec<f64>

Current physical coefficients in derivative-column order.

fn parameter_bounds(&self) -> Vec<ParameterBounds>

Physical parameter bounds in coefficient order.

fn basis(&self, x_deg: &[f64]) -> Result<BackgroundBasis, BackgroundError>

Evaluate sample-by-parameter analytical derivatives.

fn calculate(&self, x_deg: &[f64]) -> Result<Vec<f64>, BackgroundError>

Evaluate the background on an ordered finite grid.

fn replace_coefficients( &self, coefficients: &[f64], ) -> Result<Self, BackgroundError>

Return the same model with replacement coefficients.

fn basis_is_invariant(&self) -> bool

Return whether the analytical basis is coefficient-invariant.

impl PartialEq for BackgroundModel

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

Equality operator ==.

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

Inequality operator !=.

impl StructuralPartialEq for BackgroundModel