Struct NdarrayFaerBackend 

pub struct NdarrayFaerBackend;

The default backend using the faer crate for linear algebra operations.

This is a zero-sized type intended for use as a type parameter on algorithms that are generic over Backend:

fn my_algorithm<B: Backend>(data: &Array2<f64>) -> FerroResult<Array1<f64>> {
    let (u, s, vt) = B::svd(data)?;
    // ...
}

// Use the default backend:
my_algorithm::<NdarrayFaerBackend>(&data)?;

Trait Implementations

impl Backend for NdarrayFaerBackend

fn gemm(a: &Array2<f64>, b: &Array2<f64>) -> FerroResult<Array2<f64>>

General matrix multiply: C = A * B.

fn svd(a: &Array2<f64>) -> FerroResult<(Array2<f64>, Array1<f64>, Array2<f64>)>

Singular Value Decomposition: A = U * diag(S) * Vt.

fn qr(a: &Array2<f64>) -> FerroResult<(Array2<f64>, Array2<f64>)>

QR decomposition: A = Q * R.

fn cholesky(a: &Array2<f64>) -> FerroResult<Array2<f64>>

Cholesky decomposition: A = L * L^T (lower triangular).

fn solve(a: &Array2<f64>, b: &Array1<f64>) -> FerroResult<Array1<f64>>

Solve linear system: A * x = b.

fn eigh(a: &Array2<f64>) -> FerroResult<(Array1<f64>, Array2<f64>)>

Symmetric eigendecomposition: A = V * diag(eigenvalues) * V^T.

fn det(a: &Array2<f64>) -> FerroResult<f64>

Matrix determinant.

fn inv(a: &Array2<f64>) -> FerroResult<Array2<f64>>

Matrix inverse.