[−][src]Crate dual_num
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. |