"""
Given a binary tree, find the lowest common ancestor (LCA) of two given nodes in the tree.
According to the definition of LCA on Wikipedia: “The lowest common ancestor is defined between two nodes p and q as the lowest node in T that has both p and q as descendants (where we allow a node to be a descendant of itself).”
Given the following binary tree: root = [3,5,1,6,2,0,8,null,null,7,4]
Example 1:
Input: root = [3,5,1,6,2,0,8,null,null,7,4], p = 5, q = 1
Output: 3
Explanation: The LCA of nodes 5 and 1 is 3.
Example 2:
Input: root = [3,5,1,6,2,0,8,null,null,7,4], p = 5, q = 4
Output: 5
Explanation: The LCA of nodes 5 and 4 is 5, since a node can be a descendant of itself according to the LCA definition.
"""
"""
本题两种解法。第一种非递归的方法
用queue来存储结点遍历
用dict{root, parent[root]}来存储每个结点的父亲结点
然后用一个set存储p的所有父辈结点
再遍历q的每个父亲结点查找是否再set中
如果找到即为p,q结点的最近公共祖先
"""
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None class Solution1:
def lowestCommonAncestor(self, root, p, q):
queue = [root] #用来层次遍历
parent = {root: None} #用dict存储父亲结点
while queue:
node = queue.pop()
if node.left:
parent[node.left] = node #存父亲结点
queue.append(node.left) #入队
if node.right:
parent[node.right] = node
queue.append(node.right)
res = set() #set集合是一个无序不重复元素的序列
while p: #res=() 这是把res定义为tuple,tuple是只能查看的list
res.add(p) #将p的所有父辈结点放入set里
p = parent[p]
while q not in res: #q向上找到相同的父亲结点
q = parent[q]
return q """
第二种是递归写法:没有理解
传送门:https://blog.csdn.net/qq_17550379/article/details/95903394
树型问题首先考虑递归,对于每个树中的p和q只会有一下几种情况
1. p在左子树中,q在右子树中
2. q在左子树中,p在右子树中
3. p和q都在左子树中
4. p和q都在右子树中
对于第一种和第二种情况很简单,p和q的最近公共祖先就是root。
对于第三种情况我们只需递归向左子树找,第四种情况我们只需递归向右子树找。接着思考边界情况。
当p==root or q==root的时候,我们返回root即可(因为要找最近公共祖先,继续遍历的话,就不可能是其祖先了)。
那么这里就有一个迷惑人的地方了,请认真思考第一种和第二种情况下,左右子树的递归返回结果是什么?就是p和q。
""" class Solution2:
def lowestCommonAncestor(self, root, p, q):
if not root or root == p or root == q:
return root
left = self.lowestCommonAncestor(root.left, p, q)
right = self.lowestCommonAncestor(root.right, p, q)
if left and right:
return root
return left if left else right

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