def idd_estrank(eps, A):
"""
Estimate rank of a real matrix to a specified relative precision using
random sampling.
The output rank is typically about 8 higher than the actual rank.
:param eps:
Relative precision.
:type eps: float
:param A:
Matrix.
:type A: :class:`numpy.ndarray`
:return:
Rank estimate.
:rtype: int
"""
A = np.asfortranarray(A)
m, n = A.shape
n2, w = idd_frmi(m)
ra = np.empty(n*n2 + (n + 1)*(n2 + 1), order='F')
k, ra = _id.idd_estrank(eps, A, w, ra)
return k
def idd_estrank(eps, A):
"""
Estimate rank of a real matrix to a specified relative precision using
random sampling.
The output rank is typically about 8 higher than the actual rank.
:param eps:
Relative precision.
:type eps: float
:param A:
Matrix.
:type A: :class:`numpy.ndarray`
:return:
Rank estimate.
:rtype: int
"""
A = np.asfortranarray(A)
m, n = A.shape
n2, w = idd_frmi(m)
ra = np.empty(n*n2 + (n + 1)*(n2 + 1), order='F')
k, ra = _id.idd_estrank(eps, A, w, ra)
return k