gradient: Compute the gradient-function of a function.

In mailund/dfdr: Automatic Differentiation of Simple Functions

Compute the gradient-function of a function.

Description

Creates a function that computes the derivative of a function with respect to each parameter and return a vector of these.

Usage

gradient(f, use_names, ...)

Arguments

f	A function
use_names	Should the gradient add variable names to the output of the function?
...	The variable names for which gradients should be calculated

Value

A function that computes the gradient of f at any point.

Examples

f <- function(x, y) x^2 + y^2
df <- gradient(f, FALSE, x, y)
df(1, 1)

mailund/dfdr documentation built on Feb. 25, 2023, 5:37 p.m.