Integration with ndarray

ad_trait also supports the ndarray crate, which is commonly used for data science and machine learning.

Example: AD Array

#![allow(unused)]
fn main() {
use ndarray::Array2;
use ad_trait::adfn;

let a = Array2::<adfn<1>>::zeros((10, 10));
}

Scalar Operations

The AD trait includes mul_by_ndarray_matrix_ref, allowing you to perform scalar-array multiplication efficiently across different AD modes.

Generic Algorithms

Similar to nalgebra, you can write generic algorithms using ndarray that work with any AD type. This is particularly useful for implementing complex mathematical models that require gradients for optimization.