# scipy.sparse.kron

scipy.sparse.kron(A, B, format=None)

  kronecker product of sparse matrices A and B

  Parameters:
    A sparse or dense matrix

      first matrix of the product

    B sparse or dense matrix

      second matrix of the product

    format str, optional

      format of the result (e.g. “csr”)

  Returns:
    kronecker product in a sparse matrix format

  Examples

      >>> import numpy as np
      >>> from scipy import sparse
      >>> A = sparse.csr_matrix(np.array([[0, 2], [5, 0]]))
      >>> B = sparse.csr_matrix(np.array([[1, 2], [3, 4]]))
      >>> sparse.kron(A, B).toarray()
      array([[ 0,  0,  2,  4],
             [ 0,  0,  6,  8],
             [ 5, 10,  0,  0],
             [15, 20,  0,  0]])

      >>> sparse.kron(A, [[1, 2], [3, 4]]).toarray()
      array([[ 0,  0,  2,  4],
             [ 0,  0,  6,  8],
             [ 5, 10,  0,  0],
             [15, 20,  0,  0]])