Numerical computation of the gradient, with parallel capabilities — gradient • calibrar

This function calculates the gradient of a function, numerically, including the possibility of doing it in parallel.

Usage

gradient(fn, x, method, control, parallel, ...)

Arguments

fn: The function to calculate the gradient.
x: The value to compute the gradient at.
method: The method used. Currently implemented: central, backward, forward and Richardson. See details.
control: A list of control arguments.
parallel: Boolean, should numerical derivatives be calculated in parallel?
...: Additional arguments to be passed to fn.

Value

The gradient of fn at x.

Examples

gradient(fn=function(x) sum(x^3), x=0)
#> [1] 1e-16