Struct PseudoVoigt 

pub struct PseudoVoigt;

Proper Pseudo-Voigt: η · L(x) + (1 − η) · G(x)

where η ∈ [0,1] is the Lorentzian fraction (fitted parameter), G is a Gaussian, and L is a Lorentzian with the same width parameter.

Parameters (in order): [amplitude, center, sigma, fraction]

Gaussian term: G = exp(−(x−c)²/(2σ²)) Lorentzian term: L = 1 / (1 + (x−c)²/σ²)

Jacobians are computed via the chain rule through G, L, and η.

Trait Implementations

impl Model for PseudoVoigt

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

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

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

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

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.