gradient {calibrar} | R Documentation |
Numerical computation of the gradient, with parallel capabilities
Description
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 |
Value
The gradient of fn
at x
.
Examples
gradient(fn=function(x) sum(x^3), x=0)
[Package calibrar version 0.9.0 Index]