#13289: Determine if a vertex is a cut vertex
---------------------------------+------------------------------------------
       Reporter:  dcoudert       |         Owner:  jason, ncohen, rlm
           Type:  enhancement    |        Status:  needs_review      
       Priority:  major          |     Milestone:  sage-5.3          
      Component:  graph theory   |    Resolution:                    
       Keywords:                 |   Work issues:                    
Report Upstream:  N/A            |     Reviewers:                    
        Authors:  David Coudert  |     Merged in:                    
   Dependencies:                 |      Stopgaps:                    
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Changes (by dcoudert):

  * status:  needs_work => needs_review


Comment:

 I fact, only one DFS is required for undirected graphs (or weak
 connectivity), and two for the strong connectivity of directed graphs. I
 don't need to copy the graph anymore and the running time of the resulting
 algorithm is acceptable.
 {{{
 sage: G = digraphs.RandomDirectedGNP(1000,.3)
 sage: H = digraphs.RandomDirectedGNP(1000,.3)
 sage: K = G+H
 sage: K.add_edge(0,1000)
 sage: K.add_edge(1200,300)
 sage: %time K.is_strongly_connected()
 CPU times: user 0.09 s, sys: 0.00 s, total: 0.09 s
 Wall time: 0.09 s
 True
 sage: %time K.is_cut_vertex(0)
 CPU times: user 0.23 s, sys: 0.00 s, total: 0.23 s
 Wall time: 0.23 s
 True
 sage: %time K.is_cut_vertex(0, weak=True)
 CPU times: user 1.01 s, sys: 0.00 s, total: 1.01 s
 Wall time: 1.01 s
 False
 }}}
 The only way to be faster is to use cython, as for the
 is_strongly_connected function. But I'm not sure it is worth the effort.

-- 
Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/13289#comment:14>
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