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:
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:
/**
* Definition for a binary tree node.
* public class TreeNode {
* public int val;
* public TreeNode left;
* public TreeNode right;
* public TreeNode(int x) { val = x; }
* }
*/
public class Solution
{
public TreeNode LowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q)
{
if (root.val == p.val || root.val == q.val)
return root;
if (root.val > p.val && root.val < q.val)
return root;
if (root.val < p.val && root.val > q.val)
return root;
if (root.val < p.val && root.val < q.val)
{
return LowestCommonAncestor(root.right, p, q);
}
return LowestCommonAncestor(root.left, p, q);
}
}
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2. “链表”类算法
3. “栈”类算法
4. “队列”类算法
5. “递归”类算法
6. “位运算”类算法
7. “字符串”类算法
8. “树”类算法
9. “哈希”类算法
10. “排序”类算法
11. “搜索”类算法
12. “动态规划”类算法
13. “回溯”类算法
14. “数值分析”类算法