Struct SaturatingExponential 

pub struct SaturatingExponential;

Saturating exponential: amplitude · (1 − exp(−rate · x))

Parameters (in order): [amplitude, rate]

This is the BoxBOD model (NIST StRD): it describes processes that grow toward a saturation level amplitude with characteristic rate rate. For rate > 0 and x ≥ 0 the function rises monotonically from 0 to amplitude.

Note: here amplitude is the asymptotic saturation level — the plateau the curve approaches as x → ∞ — NOT a peak-at-center value as in the peak-model convention documented in docs/reference/models/index.md.

Trait Implementations

impl Model for SaturatingExponential

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

Evaluate the model at coordinate x with the given params.

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

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

fn jacobian(&self, x: &[f64], p: &[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 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.