Module autodiff::forward_autodiff
source · Expand description
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
- A generic forward differentiation
Dual
number.
Functions
- Evaluates the derivative of
f
atx0
- Evaluates the gradient of
f
atx0
Type Definitions
- First order dual number with
f64
. - First order dual number.