t_matrix : sparse or dense matrix
transition matrix. if T is sparse, the sparse eigensolver will be used
n_eigs : int
How many eigenvalues to calculate
epsilon : float, optional
Throw error if T is not a stochastic matrix, with tolerance given by Epsilon
dense_cutoff : int, optional
use dense eigensolver if dimensionality is below this
right : bool, optional
if true, compute the right eigenvectors instead of the left
tol : float, optional
Convergence criterion for sparse eigenvalue solver.
normalized : bool, optional
normalize the vectors such that
\[\phi_i^T \psi_j = \delta_{ij}\]
where \(\phi_i\) is the :math`i^{th}` left eigenvector, and \(\psi_j\)
is the \(j^{th}\) right eigenvector
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