gradient: Numerical computation of the gradient, with parallel...

In roliveros-ramos/calibrar: Automated Parameter Estimation for Complex Models

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 fn.

Value

The gradient of fn at x.

Examples

gradient(fn=function(x) sum(x^3), x=0)

roliveros-ramos/calibrar documentation built on March 15, 2024, 12:08 a.m.