# scipy.linalg.interpolative.estimate_rank

scipy.linalg.interpolative.estimate_rank(A, eps)

  Estimate matrix rank to a specified relative precision using randomized methods.

  The matrix A can be given as either a `numpy.ndarray` or a `scipy.sparse.linalg.LinearOperator`, with different algorithms used for each case. If A is of type `numpy.ndarray`, then the output rank is typically about 8 higher than the actual numerical rank.

  Parameters
    A `numpy.ndarray` or `scipy.sparse.linalg.LinearOperator`

      Matrix whose rank is to be estimated, given as either a `numpy.ndarray` or a `scipy.sparse.linalg.LinearOperator` with the rmatvec method (to apply the matrix adjoint).

    eps float

      Relative error for numerical rank definition.

  Returns
    int

      Estimated matrix rank.

scipy.linalg.interpolative.estimate_spectral_norm_diff scipy.linalg.interpolative.seed