Struct BreitWigner 

pub struct BreitWigner;

Breit-Wigner-Fano (BWF) resonance: A·(q·g + (x − c))² / (g² + (x − c)²), g = σ/2.

Parameters (in order): [amplitude, center, sigma, q]. amplitude is a scale factor (peak ≠ A — the asymmetric Fano family, like fano); q is the asymmetry. numpy oracle identical: g = σ/2; A*(q*g + (x-c))**2 / (g*g + (x-c)**2).

Trait Implementations

impl Model for BreitWigner

fn eval(&self, x: &[f64], params: &[f64]) -> f64

Evaluate the model at coordinate x with the given params.

fn jacobian(&self, x: &[f64], params: &[f64]) -> Vec<f64>

Jacobian — one derivative per parameter, in the same order as param_names().

fn param_names(&self) -> Vec<Cow<'static, str>>

Ordered parameter names, matching the layout expected by eval and jacobian.

fn jacobian_into(&self, x: &[f64], params: &[f64], out: &mut [f64])

Fill a pre-allocated slice with Jacobian values (one entry per parameter).

fn eval_slice_into(&self, xs: &[f64], params: &[f64], out: &mut [f64])

Batch evaluation of a 1-D model: fill out[i] = eval([xs[i]], params).

fn jac_slice_into(&self, xs: &[f64], params: &[f64], out: &mut [f64])

Batch Jacobian for a 1-D model: fill out in row-major layout [i * params.len() + j] = d(model)/d(params[j]) at xs[i].

fn n_dims(&self) -> usize

Number of coordinate dimensions consumed from x. Defaults to 1.