Route Between Two Nodes in Graph
Question
- lintcode: (176) Route Between Two Nodes in Graph
- Find if there is a path between two vertices in a directed graph - GeeksforGeeks
Problem Statement
Given a directed graph, design an algorithm to find out whether there is a route between two nodes.
Example
Given graph:
A----->B----->C
\ |
\ |
\ |
\ v
->D----->E
for s = B
and t = E
, return true
for s = D
and t = C
, return false
题解1 - DFS
检测图中两点是否通路,图搜索的简单问题,DFS 或者 BFS 均可,注意检查是否有环即可。这里使用哈希表记录节点是否被处理较为方便。深搜时以起点出发,递归处理其邻居节点,需要注意的是处理邻居节点的循环时不是直接 return, 而只在找到路径为真时才返回 true, 否则会过早返回 false 而忽略后续可能满足条件的路径。
# Definition for a Directed graph node
class DirectedGraphNode:
def __init__(self, x):
self.label = x
self.neighbors = []
class Solution:
def dfs(self, i, countrd, graph, t):
if countrd[i] == 1:
return False
if i == t:
return True
countrd[i] = 1
for j in i.neighbors:
if countrd[j] == 0 and self.dfs(j, countrd, graph, t):
return True
return False
"""
@param graph: A list of Directed graph node
@param s: the starting Directed graph node
@param t: the terminal Directed graph node
@return: a boolean value
"""
def routeBetweenTwoNodesInGraph(self, graph, s, t):
countrd = {}
for x in graph:
countrd[x] = 0
return self.dfs(s, countrd, graph, t)
sol=Solution()
A=UndirectedGraphNode('A')
B=UndirectedGraphNode('B')
C=UndirectedGraphNode('C')
D=UndirectedGraphNode('D')
E=UndirectedGraphNode('E')
A.neighbors=[B,D]
B.neighbors=[C,D]
C.neighbors=[]
D.neighbors=[E]
E.neighbors=[]
graph=[A,B,C,D,E]
sol.routeBetweenTwoNodesInGraph(graph,D,C)
源码分析
根据构造函数的实现,Java 中判断是否有邻居节点时使用.size
,而不是null
. 注意深搜前检测是否被处理过。行
if (dfs(graph, node, t, visited)) return true;
中注意不是直接 return, 只在为 true 时返回。
复杂度分析
遍历所有点及边,时间复杂度为 $$O(V+E)$$.
题解2 - BFS
除了深搜处理邻居节点,我们也可以采用 BFS 结合队列处理,优点是不会爆栈,缺点是空间复杂度稍高和实现复杂点。
源码分析
同题解一。
复杂度分析
时间复杂度同题解一,也是 $$O(V+E)$$, 空间复杂度最坏情况下为两层多叉树,为 $$O(V+E)$$.