72 - 二叉树的最近公共祖先
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给定一个二叉搜索树, 找到该树中两个指定节点的最近公共祖先。
百度百科中最近公共祖先的定义为:“对于有根树 T 的两个结点 p、q,最近公共祖先表示为一个结点 x,满足 x 是 p、q 的祖先且 x 的深度尽可能大(一个节点也可以是它自己的祖先)。”
例如,给定如下二叉搜索树: root = [6,2,8,0,4,7,9,null,null,3,5]
示例 1:
输入: root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 8 输出: 6 解释: 节点 2 和节点 8 的最近公共祖先是 6。
示例 2:
输入: root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 4 输出: 2 解释: 节点 2 和节点 4 的最近公共祖先是 2, 因为根据定义最近公共祖先节点可以为节点本身。
说明:
所有节点的值都是唯一的。
p、q 为不同节点且均存在于给定的二叉搜索树中。
因为二叉树是根据大小排列的,因此可以根据p与q的值来分类递归求解
Runtime: 68 ms, faster than 87.92% of Python3 online submissions for Lowest Common Ancestor of a Binary Tree.
Memory Usage: 23.3 MB, less than 91.67% of Python3 online submissions for Lowest Common Ancestor of a Binary Tree.
Runtime: 12 ms, faster than 85.78% of Go online submissions for Lowest Common Ancestor of a Binary Tree.
Memory Usage: 7.6 MB, less than 100.00% of Go online submissions for Lowest Common Ancestor of a Binary Tree.
Runtime: 68 ms, faster than 78.64% of JavaScript online submissions for Lowest Common Ancestor of a Binary Tree.
Memory Usage: 41.6 MB, less than 50.00% of JavaScript online submissions for Lowest Common Ancestor of a Binary Tree.
Runtime: 80 ms, faster than 15.07% of Python online submissions for Lowest Common Ancestor of a Binary Tree.
Memory Usage: 26.9 MB, less than 5.88% of Python online submissions for Lowest Common Ancestor of a Binary Tree.