Crate dual_num[−][src]
Dual Numbers
Fully-featured Dual Number implementation with features for automatic differentiation of multivariate vectorial functions into gradients.
Usage
extern crate dual_num; use dual_num::{Dual, Float, differentiate}; fn main() { // find partial derivative at x=4.0 println!("{:.5}", differentiate(4.0f64, |x| { x.sqrt() + Dual::from_real(1.0) })); // 0.25000 }
Previous Work
Modules
linalg |
Structs
Dual |
Dual Number structure |
Traits
Float |
Generic trait for floating point numbers |
FloatConst | |
Num |
The base trait for numeric types, covering |
One |
Defines a multiplicative identity element for |
Scalar |
The basic scalar type for all structures of |
Zero |
Defines an additive identity element for |
Functions
differentiate |
Evaluates the function using dual numbers to get the partial derivative at the input point |
partials |
Computes the state and partials of the provided function. |
partials_t |
Computes the state and the partials matrix of the provided function with a preliminary time parameter. |