[LeetCode] 501. Find Mode in Binary Search Tree 解题报告

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Given a binary search tree (BST) with duplicates, find all the mode(s) (the most frequently occurred element) in the given BST.

Assume a BST is defined as follows:

  • The left subtree of a node contains only nodes with keys less than or equal to the node's key.
  • The right subtree of a node contains only nodes with keys greater than or equal to the node's key.
  • Both the left and right subtrees must also be binary search trees.

For example:
Given BST [1,null,2,2],

   1    \     2    /   2

return [2].

Note: If a tree has more than one mode, you can return them in any order.

Follow up: Could you do that without using any extra space? (Assume that the implicit stack space incurred due to recursion does not count).


这个题咋看之下还是有点难度,题意是要我们需找树种出现最多的节点,一开始还真是没有头绪。

经过仔细分析以后,我们会发现,对于本题中的二叉搜索树,节点的排列是有顺序的,左节点<=当前节点<=右节点。也就是说,假设这样一种情况(可能不严谨,但是足够说明问题):存在大于等于3个的连续相同的节点,且当前节点存在左右子树,那么相同的三个节点一定是:当前节点、左子树中最大的节点和右子树中最小的节点。

这里我们容易想到的是中序遍历(对于整个树,先遍历左节点,再遍历中间节点,最后遍历右节点),使用中序遍历遍历二叉搜索树,可以获得一个从小到大的排好序的升序序列。

分析到这里,题目就转化成了,给定一个升序序列,寻找重复次数最多的数字,这就非常简单了。


代码如下,需要注意的是第20行,是处理遍历完整棵树以后,可能最后一段是相同的且最长的,这样一种情况的。

/** * Definition for a binary tree node. * public class TreeNode { *     int val; *     TreeNode left; *     TreeNode right; *     TreeNode(int x) { val = x; } * } */public class Solution {private int count = -1;private int lastVal = Integer.MAX_VALUE;private int maxCount = 0;private List<Integer> list = new LinkedList<Integer>();public int[] findMode(TreeNode root) {find(root);//check last partif (count > maxCount) {list.clear();list.add(lastVal);} else if (count == maxCount) {list.add(lastVal);}int[] results = new int[list.size()];for (int i = 0; i < list.size(); i++) {results[i] = list.get(i);}return results;}private void find(TreeNode root) {if (root == null) {return;}find(root.left);if (root.val != lastVal) {if (count > maxCount) {maxCount = count;list.clear();list.add(lastVal);} else if (count == maxCount) {list.add(lastVal);}count = 1;lastVal = root.val;} else {count++;}find(root.right);}}


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