cupynumeric.linalg.qr

cupynumeric.linalg.qr(

a: ndarray,

) → tuple[ndarray, ...]

Compute the qr factorization of a matrix.

Factor the matrix a as qr, where q is orthonormal and r is upper-triangular.

Parameters:

a ((M, N) array_like) – Array like, at least dimension 2.

Returns:

• q ((M, K) array_like) – A matrix with orthonormal columns. K = min(M, N).

• r ((K, N) array_like) – The uppoer triangular matrix.

Raises:

LinAlgError – If factoring fails.

Notes

Currently does not support the parameter ‘mode’ from numpy 1.8.

See also

numpy.linalg.qr

Availability:

Single GPU, Single CPU