dual_num
| Crates.io | dual_num |
| lib.rs | dual_num |
| version | 0.2.7 |
| source | src |
| created_at | 2017-06-05 14:34:53.973029 |
| updated_at | 2019-04-03 13:06:50.621607 |
| description | Fully-featured Dual Number implementation with features for automatic differentiation of multivariate vectorial functions into gradients |
| homepage | |
| repository | https://github.com/novacrazy/dual_num |
| max_upload_size | |
| id | 17831 |
| size | 27,485 |
Nova (novacrazy)
documentation
https://docs.rs/dual_num/
README
dual_num 
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
}