bacon_sci::optimize

Function curve_fit_jac

Source 
pub fn curve_fit_jac<N, F, G, const V: usize>(
    f: F,
    xs: &[N],
    ys: &[N],
    initial: &[N],
    jacobian: G,
    params: &CurveFitParams<N>,
) -> Result<SVector<N, V>, String>
where
    N: ComplexField + FromPrimitive + Copy,
    <N as ComplexField>::RealField: FromPrimitive + Copy,
    F: FnMut(N, &SVector<N, V>) -> N,
    G: FnMut(N, &SVector<N, V>) -> SVector<N, V>,
Expand description

Fit a curve using the Levenberg-Marquardt algorithm.

Uses an analytic jacobian.Keeps iterating until the differences between the sum of the square residuals of two iterations is under tol. Jacobian should be a function that returns a column vector where jacobian[i] is the partial derivative of f with respect to param[i].

§Errors

Returns an error if curve fit fails.

§Panics

Panics if a u8 can not be converted to the generic type.