Module autodiff::forward_autodiff

This module defines forward automatic differentiation. This mode of autodiff is most efficient when computing derivatives with more inputs than outputs. It is also useful for computing Jacobian products (see crate root docs for examples).

Structs

F

A generic forward differentiation Dual number.

Functions

diff

Evaluates the derivative of f at x0

grad

Evaluates the gradient of f at x0

Type Definitions

F1

First order dual number with f64.

FT

First order dual number.