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2<!--
3  -- Copyright (c) Jeremy Siek 2000-2001
4  --
5  -- Distributed under the Boost Software License, Version 1.0.
6  -- (See accompanying file LICENSE_1_0.txt or copy at
7  -- http://www.boost.org/LICENSE_1_0.txt)
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9<Head>
10<Title>Boost Graph Library: Connected Components</Title>
11<BODY BGCOLOR="#ffffff" LINK="#0000ee" TEXT="#000000" VLINK="#551a8b" 
12        ALINK="#ff0000"> 
13<IMG SRC="../../../boost.png" 
14     ALT="C++ Boost" width="277" height="86"> 
15
16<BR Clear>
17
18
19<H1>
20<A NAME="sec:connected-components">
21<img src="figs/python.gif" alt="(Python)"/>
22<TT>connected_components</TT></A>
23</H1>
24
25<PRE>
26<i>// named parameter version</i>
27template &lt;class VertexListGraph, class ComponentMap, class P, class T, class R&gt;
28typename property_traits&lt;ComponentMap&gt;::value_type
29connected_components(VertexListGraph&amp; G, ComponentMap comp,
30    const bgl_named_params&lt;P, T, R&gt;&amp; params = <i>all defaults</i>);
31
32<i>// there is not a non-named parameter version of this function</i>
33</PRE>
34
35<P>
36The <TT>connected_components()</TT> functions compute the connected
37components of an undirected graph using a DFS-based approach.  A
38<b><I>connected component</I></b> of an undirected graph is a set of
39vertices that are all reachable from each other. If the connected
40components need to be maintained while a graph is growing the
41disjoint-set based approach of function <a
42href="./incremental_components.html">
43<TT>incremental_components()</TT></a> is faster. For ``static'' graphs
44this DFS-based approach is faster&nbsp;[<A
45HREF="bibliography.html#clr90">8</A>].
46
47<P>
48The output of the algorithm is recorded in the component property map
49<TT>comp</TT>, which will contain numbers giving the component number
50assigned to each vertex. The total number of components is the return
51value of the function.
52
53<H3>Where Defined</H3>
54
55<P>
56<a href="../../../boost/graph/connected_components.hpp"><TT>boost/graph/connected_components.hpp</TT></a>
57
58
59<h3>Parameters</h3>
60
61IN: <tt>const Graph&amp; g</tt>
62<blockquote>
63An undirected graph. The graph type must be a model of <a
64href="VertexListGraph.html">Vertex List Graph</a> and <a
65href="IncidenceGraph.html">Incidence Graph</a>.<br>
66
67<b>Python</b>: The parameter is named <tt>graph</tt>.
68</blockquote>
69
70OUT: <tt>ComponentMap c</tt>
71<blockquote>
72The algorithm computes how many connected components are in the graph,
73and assigning each component an integer label. The algorithm then
74records which component each vertex in the graph belongs to by
75recording the component number in the component property map. The
76<tt>ComponentMap</tt> type must be a model of <a
77href="../../property_map/WritablePropertyMap.html">Writable Property
78Map</a>. The value type shouch be an integer type, preferably the same
79as the <tt>vertices_size_type</tt> of the graph. The key type must be
80the graph's vertex descriptor type.<br>
81
82  <b>Python</b>: Must be an <tt>vertex_int_map</tt> for the graph.<br>
83  <b>Python default</b>: <tt>graph.get_vertex_int_map("component")</tt>
84</blockquote>
85
86<h3>Named Parameters</h3>
87
88UTIL: <tt>color_map(ColorMap color)</tt>
89<blockquote>
90  This is used by the algorithm to keep track of its progress through
91  the graph. The type <tt>ColorMap</tt> must be a model of <a
92  href="../../property_map/ReadWritePropertyMap.html">Read/Write
93  Property Map</a> and its key type must be the graph's vertex
94  descriptor type and the value type of the color map must model
95  <a href="./ColorValue.html">ColorValue</a>.<br>
96  <b>Default:</b> an <a
97  href="../../property_map/iterator_property_map.html">
98  </tt>iterator_property_map</tt></a> created from a
99  <tt>std::vector</tt> of <tt>default_color_type</tt> of size
100  <tt>num_vertices(g)</tt> and using the <tt>i_map</tt> for the index
101  map.<br>
102  <b>Python</b>: The color map must be a <tt>vertex_color_map</tt> for
103  the graph.
104</blockquote>
105
106IN: <tt>vertex_index_map(VertexIndexMap i_map)</tt>
107<blockquote>
108  This maps each vertex to an integer in the range <tt>[0,
109  num_vertices(g))</tt>. This parameter is only necessary when the
110  default color property map is used. The type <tt>VertexIndexMap</tt>
111  must be a model of <a
112  href="../../property_map/ReadablePropertyMap.html">Readable Property
113  Map</a>. The value type of the map must be an integer type. The
114  vertex descriptor type of the graph needs to be usable as the key
115  type of the map.<br>
116
117  <b>Default:</b> <tt>get(vertex_index, g)</tt>.
118    Note: if you use this default, make sure your graph has
119    an internal <tt>vertex_index</tt> property. For example,
120    <tt>adjacenty_list</tt> with <tt>VertexList=listS</tt> does
121    not have an internal <tt>vertex_index</tt> property.<br>
122
123  <b>Python</b>: Unsupported parameter.
124</blockquote>
125
126
127<H3>Complexity</H3>
128
129<P>
130The time complexity for the connected components algorithm is also
131<i>O(V + E)</i>.
132
133<P>
134
135<h3>See Also</h3>
136
137<a href="./strong_components.html"><tt>strong_components()</tt></a>
138and <a href="./incremental_components.html"><tt>incremental_components()</tt></a>
139
140<H3>Example</H3>
141
142<P>
143The file <a
144href="../example/connected_components.cpp"><tt>examples/connected_components.cpp</tt></a>
145contains an example of calculating the connected components of an
146undirected graph.
147
148<br>
149<HR>
150<TABLE>
151<TR valign=top>
152<TD nowrap>Copyright &copy 2000-2001</TD><TD>
153<A HREF="../../../people/jeremy_siek.htm">Jeremy Siek</A>, Indiana University (<A HREF="mailto:jsiek@osl.iu.edu">jsiek@osl.iu.edu</A>)
154</TD></TR></TABLE>
155
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