Function rgsl::numerical_differentiation::deriv_backward
source · pub fn deriv_backward<T>(
f: function<T>,
param: &mut T,
x: f64,
h: f64,
result: &mut f64,
abs_err: &mut f64
) -> Value
Expand description
This function computes the numerical derivative of the function f at the point x using an adaptive backward difference algorithm with a step-size of h. The function is evaluated only at points less than x, and never at x itself. The derivative is returned in result and an estimate of its absolute error is returned in abserr. This function should be used if f(x) has a discontinuity at x, or is undefined for values greater than x.
This function is equivalent to calling gsl_deriv_forward with a negative step-size.