# `is_bipartite`

    // Version with a colormap to retrieve the bipartition
    template <typename Graph, typename IndexMap, typename PartitionMap>
    bool is_bipartite (const Graph& graph, const IndexMap index_map, PartitionMap partition_map)

    template <typename Graph, typename IndexMap>
    bool is_bipartite (const Graph& graph, const IndexMap index_map)

    // Version which uses the internal index map
    template <typename Graph>
    bool is_bipartite (const Graph& graph);

The `is_bipartite()` functions tests a given graph for bipartiteness using a DFS-based coloring approach.

An undirected graph is bipartite if one can partition its set of vertices into two sets "left" and "right", such that each edge goes from either side to the other. Obviously, a two-coloring of the graph is exactly the same as a two-partition. `is_bipartite()` tests whether such a two-coloring is possible and can return it in a given property map.

The bipartition is recorded in the color map `partition_map`, which will contain a two-coloring of the graph, i.e. an assignment of black and white to the vertices such that no edge is monochromatic. The predicate whether the graph is bipartite is the return value of the function.

### Where Defined

`boost/graph/bipartite.hpp`

### Parameters

IN: `const Graph& graph`

> An undirected graph. The graph type must be a model of Vertex List Graph and Incidence Graph.

IN: `const IndexMap index_map`

> This maps each vertex to an integer in the range `[0, num_vertices(graph))`. The type `VertexIndexMap` must be a model of Readable Property Map. The value type of the map must be an integer type. The vertex descriptor type of the graph needs to be usable as the key type of the map.

OUT: `PartitionMap partition_map`

> The algorithm tests whether the graph is bipartite and assigns each vertex either a white or a black color, according to the partition. The `PartitionMap` type must be a model of Readable Property Map and Writable Property Map The value type must model ColorValue.

### Complexity

The time complexity for the algorithm is O(V + E).

### See Also

`find_odd_cycle()`

### Example

The file `examples/bipartite.cpp` contains an example of testing an undirected graph for bipartiteness.

Copyright © 2010 Matthias Walter (xammy@xammy.homelinux.net)