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<Head>
<Title>Boost Graph Library: Breadth-First Search</Title>
<BODY BGCOLOR="#ffffff" LINK="#0000ee" TEXT="#000000" VLINK="#551a8b"
ALINK="#ff0000">
<IMG SRC="../../../c++boost.gif"
ALT="C++ Boost" width="277" height="86">
<BR Clear>
<H1><A NAME="sec:bfs">
<TT>breadth_first_search</TT>
</H1>
<P>
<DIV ALIGN="LEFT">
<TABLE CELLPADDING=3 border>
<TR><TH ALIGN="LEFT"><B>Graphs:</B></TH>
<TD ALIGN="LEFT">directed and undirected</TD>
</TR>
<TR><TH ALIGN="LEFT"><B>Properties:</B></TH>
<TD ALIGN="LEFT">color</TD>
</TR>
<TR><TH ALIGN="LEFT"><B>Complexity:</B></TH>
<TD ALIGN="LEFT">time: <i>O(V + E)</i></TD>
</TR>
</TABLE>
</DIV>
<P>
<PRE>
(1)
template &lt;class <a href="./VertexListGraph.html">VertexListGraph</a>, class <a href="./BFSVisitor.html">BFSVisitor</a>&gt;
void breadth_first_search(VertexListGraph& G,
typename graph_traits&lt;VertexListGraph&gt;::vertex_descriptor s,
BFSVisitor vis);
(2)
template &lt;class <a href="./VertexListGraph.html">VertexListGraph</a>, class <a href="./BFSVisitor.html">BFSVisitor</a>, class <a href="#ColorMap">ColorMap</a>&gt;
void breadth_first_search(const VertexListGraph& g,
typename graph_traits&lt;VertexListGraph&gt;::vertex_descriptor s,
BFSVisitor vis, ColorMap color);
(3)
template &lt;class <a href="./IncidenceGraph.html">IncidenceGraph</a>, class <a href="./Buffer.html">Buffer</a>, <a href="./BFSVisitor.html">BFSVisitor</a>, class <a href="#ColorMap">ColorMap</a>&gt;
void breadth_first_search(const VertexListGraph& g,
typename graph_traits&lt;VertexListGraph&gt;::vertex_descriptor s,
Buffer& Q, BFSVisitor vis, ColorMap color)
</PRE>
<P>
The breadth-first search (BFS) algorithm is not really an algorithm in
the sense that it has a particular purpose. Instead BFS is more like
an algorithm <I>pattern</I>. One can do many different things with
BFS. For example, the BFS pattern is used in the BGL to build several
other algorithms: Dijkstra's shortest paths, Prim's Minimum Spanning
Tree and best-first search. The definition of a <I>breadth-first
search</I> is given in Section <A
HREF="./graph_theory_review.html#sec:bfs-algorithm">Breadth-First
Search</A>.
<P>
The BGL BFS functions are highly parameterized so that they can be
used in a wide variety of places. The way to customize the BFS
algorithm to perform different operations is to supply a visitor,
which is a function object with multiple functions. Each member
function of the visitor gets invoked at special times during the
algorithm as specified by <a
href="./BFSVisitor.html">BFSVisitor</a>. Also, visitors can be layered
on top of each other so that one can do lots of things during a single
run of BFS. See the <a href="./bfs_visitor.html">bfs_visitor</a> class
and the <A HREF="./EventVisitor.html">EventVisitor</A> concept for
more details.
<P>
Another way to customize the BFS algorithm is change the type of queue
used. For instance, <TT>dijkstra_shortest_paths()</TT> uses a priority
queue.
<p>
The <tt>ColorMap</tt> is used by BFS to keep track of which vertices
have been visited. At the beginning of the algorithm all vertices are
white. As the algorithm proceeds, vertices are colored gray as they
are inserted into the queue, and then colored black when they are
finished and removed from queue.
<P>
Version 1 of the algorithm takes only three arguments: the graph
object, the source vertex, and a visitor to specify the actions to be
taken during the graph search. The algorithm will need to use a color
property which must be provided by the graph object (through a vertex
color property).
<P>
Version 2 of the algorithm adds a color property argument to
accommodate the use of an external property map.
<P>
Version 3 of the algorithm is the most generalized. It adds a
parameter for the queue. This version does not initialize the color of
all the vertices to white at the start of the algorithm or invoke the
<tt>initialize_vertex()</tt> visitor method, so that must be taken
care of before calling this versin of <tt>breadth_first_search()</tt>.
<P>
<H3>Where Defined</H3>
<P>
<a href="../../../boost/graph/breadth_first_search.hpp"><TT>boost/graph/breadth_first_search.hpp</TT></a>
<P>
<H3>Requirements on Types</H3>
<P>
<UL>
<LI>The type <TT>IncidenceGraph</TT> must be a model of <a href="./IncidenceGraph.html">IncidenceGraph</a>.
</LI>
<LI>The type <TT>VertexListGraph</TT> must be a model of <a href="./VertexListGraph.html">VertexListGraph</a>.
</LI>
<LI>The type <TT>BFSVisitor</TT> must be a model of <a href="./BFSVisitor.html">BFSVisitor</a>.
</LI>
<LI>In version (1) of the algorithm the graph must be a model
of <a href="./PropertyGraph.html">PropertyGraph</a> for
<TT>vertex_color_t</TT> and
the color property map for the graph must meet the
same requirements as <TT>ColorMap</TT>.
</LI>
<LI><a name="ColorMap">The type <TT>ColorMap</TT> must be a model of <a
href="../../property_map/ReadWritePropertyMap.html">ReadWritePropertyMap</a>.
A vertex descriptor must be usable as the key type of the map,
and the value type of the map must be a model of <a
href="./ColorValue.html">ColorValue</a>.</a>
</LI>
<LI>The type <TT>Buffer</TT> must be a model of <a href="./Buffer.html">Buffer</a>.
</LI>
</UL>
<P>
<H3><A NAME="SECTION001330300000000000000">
Complexity</A>
</H3>
<P>
The time complexity is <i>O(E + V)</i>.
<P>
<H3><A NAME="SECTION001330400000000000000">
Example</A>
</H3>
<P>
This example demonstrates using the BGL Breadth-first search algorithm
on the graph from <A
HREF="./graph_theory_review.html#fig:bfs-example">Figure 5</A>. The
source code for this example is in <a
href="../example/bfs_basics.cpp"><TT>examples/bfs_basics.cpp</TT></a>.
<P>
<PRE>
// Select the graph type we wish to use
typedef adjacency_list&lt;vecS, undirectedS&gt; Graph;
// Set up the vertex ID's and names
enum { r, s, t, u, v, w, x, y, N };
char name[] = { 'r', 's', 't', 'u', 'v', 'w', 'x', 'y' };
// Specify the edges in the graph
typedef pair&lt;int,int&gt; E;
E edge_array[] = { E(r,s), E(r,v), E(s,w), E(w,r), E(w,t),
E(w,x), E(x,t), E(t,u), E(x,y), E(u,y) };
// Create the graph object
Graph G(N, edge_array, edge_array + sizeof(edge_array)/sizeof(E));
// Some typedef's to save a little typing
typedef Graph::vertex_descriptor Vertex;
typedef std::vector&lt;Vertex&gt;::iterator Piter;
typedef std::vector&lt;Graph::size_type&gt;::iterator Iiter;
// vectors to hold color, discover time, and finish time properties
std::vector&lt;default_color_type&gt; color(num_vertices(G));
std::vector&lt;Graph::size_type&gt; dtime(num_vertices(G));
std::vector&lt;Graph::size_type&gt; ftime(num_vertices(G));
breadth_first_search(G, vertex(s,G),
visit_timestamp(dtime.begin(), ftime.begin()),
color.begin());
// Use std::sort to order the vertices by their discover time
vector&lt;Graph::size_type&gt; discover_order(N);
iota(discover_order.begin(), discover_order.end(), 0);
std::sort(discover_order.begin(), discover_order.end(),
indirect_cmp&lt;Iiter, std::less&lt;Graph::size_type&gt; &gt;(dtime.begin()));
cout &lt;&lt; "order of discovery: ";
for (int i = 0; i &lt; N; ++i)
cout &lt;&lt; name[ discover_order[i] ] &lt;&lt; " ";
vector&lt;Graph::size_type&gt; finish_order(N);
iota(finish_order.begin(), finish_order.end(), 0);
std::sort(finish_order.begin(), finish_order.end(),
indirect_cmp&lt;Iiter, std::less&lt;Graph::size_type&gt; &gt;(ftime.begin()));
cout &lt;&lt; endl &lt;&lt; "order of finish: ";
for (int i = 0; i &lt; N; ++i)
cout &lt;&lt; name[ finish_order[i] ] &lt;&lt; " ";
cout &lt;&lt; endl;
</PRE>
The output is:
<PRE>
order of discovery: s r w v t x u y
order of finish: s r w v t x u y
</PRE>
<P>
<h3>See Also</h3>
<a href="./bfs_visitor.html"><tt>bfs_visitor</tt></a> and
<a href="./depth_first_search.html"><tt>depth_first_search()</tt></a>
<br>
<HR>
<TABLE>
<TR valign=top>
<TD nowrap>Copyright &copy 2000</TD><TD>
<A HREF="../../../people/jeremy_siek.htm">Jeremy Siek</A>, Univ.of Notre Dame (<A HREF="mailto:jsiek@lsc.nd.edu">jsiek@lsc.nd.edu</A>)
</TD></TR></TABLE>
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