示例#1
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    def bipartite_graph(self):
        r"""
        Construct a ``BipartiteGraph`` Object of the game.
        This method is similar to the plot method.
        Note that the game must be solved for this to work.

        EXAMPLES:

        An error is returned if the game is not solved::

            sage: suit = {0: (3, 4),
            ....:         1: (3, 4)}
            sage: revr = {3: (0, 1),
            ....:         4: (1, 0)}
            sage: g = MatchingGame([suit, revr])
            sage: g.bipartite_graph()
            Traceback (most recent call last):
            ...
            ValueError: game has not been solved yet

            sage: g.solve()
            {0: 3, 1: 4}
            sage: g.bipartite_graph()
            Bipartite graph on 4 vertices
        """
        self._is_solved()
        graph = BipartiteGraph(self._sol_dict)
        return graph
示例#2
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    def incidence_graph(self):
        """
        Returns the incidence graph of the design, where the incidence
        matrix of the design is the adjacency matrix of the graph.

        EXAMPLE::

            sage: BD = IncidenceStructure(range(7),[[0,1,2],[0,3,4],[0,5,6],[1,3,5],[1,4,6],[2,3,6],[2,4,5]])
            sage: BD.incidence_graph()
            Bipartite graph on 14 vertices
            sage: A = BD.incidence_matrix()
            sage: Graph(block_matrix([[A*0,A],[A.transpose(),A*0]])) == BD.incidence_graph()
            True

        REFERENCE:

        - Sage Reference Manual on Graphs
        """
        from sage.graphs.bipartite_graph import BipartiteGraph
        A = self.incidence_matrix()
        return BipartiteGraph(A)
示例#3
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def DegreeSequenceBipartite(s1, s2):
    r"""
    Returns a bipartite graph whose two sets have the given
    degree sequences.

    Given two different sequences of degrees `s_1` and `s_2`,
    this functions returns ( if possible ) a bipartite graph
    on sets `A` and `B` such that the vertices in `A` have
    `s_1` as their degree sequence, while `s_2` is the degree
    sequence of the vertices in `B`.

    INPUT:

    - ``s_1`` -- list of integers corresponding to the degree
      sequence of the first set.
    - ``s_2`` -- list of integers corresponding to the degree
      sequence of the second set.

    ALGORITHM:

    This function works through the computation of the matrix
    given by the Gale-Ryser theorem, which is in this case
    the adjacency matrix of the bipartite graph.

    EXAMPLES:

    If we are given as sequences ``[2,2,2,2,2]`` and ``[5,5]``
    we are given as expected the complete bipartite
    graph `K_{2,5}` ::

        sage: g = graphs.DegreeSequenceBipartite([2,2,2,2,2],[5,5])
        sage: g.is_isomorphic(graphs.CompleteBipartiteGraph(5,2))
        True

    Some sequences being incompatible if, for example, their sums
    are different, the functions raises a ``ValueError`` when no
    graph corresponding to the degree sequences exists. ::

        sage: g = graphs.DegreeSequenceBipartite([2,2,2,2,1],[5,5])
        Traceback (most recent call last):
        ...
        ValueError: There exists no bipartite graph corresponding to the given degree sequences

    TESTS:

    :trac:`12155`::

        sage: graphs.DegreeSequenceBipartite([2,2,2,2,2],[5,5]).complement()
        Graph on 7 vertices
    """

    from sage.combinat.integer_vector import gale_ryser_theorem
    from sage.graphs.bipartite_graph import BipartiteGraph

    s1 = sorted(s1, reverse=True)
    s2 = sorted(s2, reverse=True)

    m = gale_ryser_theorem(s1, s2)

    if m is False:
        raise ValueError(
            "There exists no bipartite graph corresponding to the given degree sequences"
        )
    else:
        return Graph(BipartiteGraph(m))