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  • Python3解leetcode Lowest Common Ancestor of a Binary Search Tree

    问题描述:

    Given a binary search tree (BST), find the lowest common ancestor (LCA) of two given nodes in the BST.

    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 binary search tree:  root = [6,2,8,0,4,7,9,null,null,3,5]

    Example 1:

    Input: root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 8
    Output: 6
    Explanation: The LCA of nodes 2 and 8 is 6.
    

    Example 2:

    Input: root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 4
    Output: 2
    Explanation: The LCA of nodes 2 and 4 is 2, since a node can be a descendant of itself according to the LCA definition.
    

    Note:

    • All of the nodes' values will be unique.
    • p and q are different and both values will exist in the BST.

    思路:

    这个需要用到二叉搜索树的性质,即左子树的值小于根的值,右子树的值大于根的值。

    基于以上性质,根据p,q值的大小和根值的大小,就能够判断是在哪边子树;

    如果一大一下,则是分别在左右子树,共同祖先就是根子树;

    如果同为大,则都在右子树,继续递归调用函数判断右子树是否是共同祖先

    如果同为小,则都在左子树,继续递归调用函数判断左子树是否是共同祖先

    代码:

     1 # Definition for a binary tree node.
     2 # class TreeNode:
     3 #     def __init__(self, x):
     4 #         self.val = x
     5 #         self.left = None
     6 #         self.right = None
     7 
     8 class Solution:
     9     def lowestCommonAncestor(self, root: 'TreeNode', p: 'TreeNode', q: 'TreeNode') -> 'TreeNode':
    10         if root == None:
    11             return
    12         if (p.val <= root.val and q.val >= root.val) or (p.val >= root.val and q.val <= root.val):
    13             return root
    14         elif (p.val < root.val and q.val < root.val):
    15             return self.lowestCommonAncestor( root.left, p, q)
    16         elif (p.val > root.val and q.val > root.val):
    17             return self.lowestCommonAncestor( root.right, p, q)
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  • 原文地址:https://www.cnblogs.com/xiaohua92/p/11167668.html
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