def iddr_asvd(A, k):
"""
Compute SVD of a real matrix to a specified rank using random sampling.
:param A:
Matrix.
:type A: :class:`numpy.ndarray`
:param k:
Rank of SVD.
:type k: int
:return:
Left singular vectors.
:rtype: :class:`numpy.ndarray`
:return:
Right singular vectors.
:rtype: :class:`numpy.ndarray`
:return:
Singular values.
:rtype: :class:`numpy.ndarray`
"""
A = np.asfortranarray(A)
m, n = A.shape
w = np.empty((2*k + 28)*m + (6*k + 21)*n + 25*k**2 + 100, order='F')
w_ = iddr_aidi(m, n, k)
w[:w_.size] = w_
U, V, S, ier = _id.iddr_asvd(A, k, w)
if ier != 0:
raise _RETCODE_ERROR
return U, V, S
def iddr_asvd(A, k):
"""
Compute SVD of a real matrix to a specified rank using random sampling.
:param A:
Matrix.
:type A: :class:`numpy.ndarray`
:param k:
Rank of SVD.
:type k: int
:return:
Left singular vectors.
:rtype: :class:`numpy.ndarray`
:return:
Right singular vectors.
:rtype: :class:`numpy.ndarray`
:return:
Singular values.
:rtype: :class:`numpy.ndarray`
"""
A = np.asfortranarray(A)
m, n = A.shape
w = np.empty((2*k + 28)*m + (6*k + 21)*n + 25*k**2 + 100, order='F')
w_ = iddr_aidi(m, n, k)
w[:w_.size] = w_
U, V, S, ier = _id.iddr_asvd(A, k, w)
if ier != 0:
raise _RETCODE_ERROR
return U, V, S