graph
Finding all nodes reachable from a particular node.
def explore(G,v)
"""Input:G=(V,E) is a graph;v belongs to V"""
"""Output: visited(u) is set to true for all nodes u reachable from v"""
visited(v) = true
previsited(v)
for each edge (v,u) in E:
if not visited(u): explore(u)
postvisited(v)
DFS:
def dfs(G):
for v in V:
visited(v) = false
for v in V:
if not visited(v): explore(v)
Time: O(|V|+|E|)
Connectivity:
- property: for any nodes u and v, the two intervals [pre[u],post[u]] and [pre[v],post[v]] are either disjoint or one is contained within the other.
cause [pre[u],post[u]] is essentially the time during which the vertex u was on the stack.
The last-in, first-out behaviour of a stack explains it.
def previsited(v):
pre[v]=clock
clock=clock+1
def postvisited(v):
post[v]=clock
clock=clock+1
types of edges
forward edges (or "discovery edges"), which point from a node of the tree to one of its descendants,(not previsited)
back edges, which point from a node to one of its ancestors,(previsited but not postvisited)
and cross edges, which do neither.(that is, already postvisited)
pre/post ordering for (u,v) | Edge type |
[u[v]v]u | forward |
[v[u]u]v | back |
[u]u,[v]v | cross |
property:
- a directed graph has a cycle if and only if its depth-first search reveals a back edge
- In a dag, every edge leads to a vertex with a lower post number
- Every dag has at least one source and at least one sink
The decomposition of a directed graph into its strongly connected components is very informative and useful.
It turns out, fortunately, that it can be found in linear time by making further use of depth-first search.
property:
- If the explore subroutine is started at node u, then it will terminate precisely when all nodes reachable from u have been visited.
if we call explore on a node that lies somewhere in a sink strongly connected component, then we will retrieve exactly that component.
So, the solution is clear,
Property:
- The node that receives the highest post number in a depth-first search must lie in a source strongly connected component.
- C AND CT have the same connectivity.