# scipy.sparse.csgraph.reverse_cuthill_mckee

scipy.sparse.csgraph.reverse_cuthill_mckee(graph, symmetric_mode=False)

  Returns the permutation array that orders a sparse CSR or CSC matrix in Reverse-Cuthill McKee ordering.

  It is assumed by default, `symmetric_mode=False`, that the input matrix is not symmetric and works on the matrix `A+A.T`. If you are guaranteed that the matrix is symmetric in structure (values of matrix elements do not matter) then set `symmetric_mode=True`.

  Parameters
    graph sparse matrix

      Input sparse in CSC or CSR sparse matrix format.

    symmetric_mode bool, optional

      Is input matrix guaranteed to be symmetric.

  Returns
    perm ndarray

      Array of permuted row and column indices.

  Notes

  New in version 0.15.0.

  References

  E. Cuthill and J. McKee, “Reducing the Bandwidth of Sparse Symmetric Matrices”, ACM ‘69 Proceedings of the 1969 24th national conference, (1969).

  Examples

      >>> from scipy.sparse import csr_matrix
      >>> from scipy.sparse.csgraph import reverse_cuthill_mckee

      >>> graph = [
      ... [0, 1 , 2, 0],
      ... [0, 0, 0, 1],
      ... [2, 0, 0, 3],
      ... [0, 0, 0, 0]
      ... ]
      >>> graph = csr_matrix(graph)
      >>> print(graph)
        (0, 1)    1
        (0, 2)    2
        (1, 3)    1
        (2, 0)    2
        (2, 3)    3

      >>> reverse_cuthill_mckee(graph)
      array([3, 2, 1, 0], dtype=int32)

scipy.sparse.csgraph.minimum_spanning_tree scipy.sparse.csgraph.maximum_flow