easy_ml::linear_algebra

Function qr_decomposition

Source 
pub fn qr_decomposition<T: Real>(
    matrix: &Matrix<T>,
) -> Option<QRDecomposition<T>>
where
    for<'a> &'a T: RealRef<T>,
Expand description

Computes a QR decomposition of a MxN matrix where M >= N.

For an input matrix A, decomposes this matrix into a product of QR, where Q is an orthogonal matrix and R is an upper triangular matrix (all entries below the diagonal are 0), and QR = A.

If the input matrix has more columns than rows, returns None.

ยงWarning

With some uses of this function the Rust compiler gets confused about what type T should be and you will get the error:

overflow evaluating the requirement &'a _: easy_ml::numeric::RealByValue<_, _>

In this case you need to manually specify the type of T by using the turbofish syntax like: linear_algebra::qr_decomposition::<f32>(&matrix)