Trait reductive::linalg::SquaredEuclideanDistance

pub trait SquaredEuclideanDistance<A, D> {
    type Output;
    fn squared_euclidean_distance<S>(
        &self, 
        other: ArrayBase<S, D>
    ) -> Self::Output
    where
        S: Data<Elem = A>;
}

Squared euclidean distance |u-v|^2.

Computes the squared euclidean distances between two arrays.

• If self and other are vectors, a scalar is returned.
• If self is a vector and other a matrix, a vector of distances between self and the rows of other is returned.
• If self and other are both matrices, a matrix of distances is returned were (i, j) is the distance between row i of self and row j of other.

Associated Types

type Output

Required methods

fn squared_euclidean_distance<S>(&self, other: ArrayBase<S, D>) -> Self::Output where
    S: Data<Elem = A>, 

Compute the squared Euclidean distance(s).

Implementations on Foreign Types

impl<A, S1> SquaredEuclideanDistance<A, Dim<[usize; 1]>> for ArrayBase<S1, Ix1> where
    A: NdFloat,
    S1: Data<Elem = A>, 

type Output = A

fn squared_euclidean_distance<S2>(&self, other: ArrayBase<S2, Ix1>) -> A where
    S2: Data<Elem = A>, 

impl<A, S1> SquaredEuclideanDistance<A, Dim<[usize; 2]>> for ArrayBase<S1, Ix1> where
    A: NdFloat,
    S1: Data<Elem = A>, 

type Output = Array1<A>

fn squared_euclidean_distance<S2>(
    &self,
    other: ArrayBase<S2, Ix2>
) -> Self::Output where
    S2: Data<Elem = A>, 

impl<A, S1> SquaredEuclideanDistance<A, Dim<[usize; 2]>> for ArrayBase<S1, Ix2> where
    A: NdFloat,
    S1: Data<Elem = A>, 

type Output = Array2<A>

fn squared_euclidean_distance<S2>(
    &self,
    other: ArrayBase<S2, Ix2>
) -> Self::Output where
    S2: Data<Elem = A>, 

Implementors