Function distances::vectors::euclidean_sq

pub fn euclidean_sq<T: Number, U: Number>(x: &[T], y: &[T]) -> U

Squared Euclidean distance between two vectors.

Also known as the squared L2-norm, the squared Euclidean distance is defined as the sum of the squares of the absolute differences between the corresponding elements of the two vectors.

See the crate::vectors module documentation for information on this function’s potentially unexpected behaviors

Arguments

• x - The first slice of Numbers.
• y - The second slice of Numbers.

Examples

use distances::vectors::euclidean_sq;

let x: Vec<f64> = vec![1.0, 2.0, 3.0];
let y: Vec<f64> = vec![4.0, 5.0, 6.0];

let distance: f64 = euclidean_sq(&x, &y);

assert!((distance - 27.0).abs() <= f64::EPSILON);