【Leetcode】:230. Kth Smallest Element in a BST 问题 in JAVA
2016-04-28 22:55
537 查看
Given a binary search tree, write a function
smallest element in it.
Note:
You may assume k is always valid, 1 ≤ k ≤ BST's total elements.
Follow up:
What if the BST is modified (insert/delete operations) often and you need to find the kth smallest frequently? How would you optimize the kthSmallest routine?
题目要求找到第k小的数,好在给的是一个BST树,可以比较简单的找到。
解题思路:计算root节点的左边有多少个节点,
情况1:如果左边的节点数》=k,那么第k小的元素一定在左边,
情况2:如果左边的节点数等于k-1,那么root就是要找的节点,
情况3:否则第k小的元素一定在左边,去右边找
该函数的作用是计算node下有多少个节点,包括node自己
private int countNode(TreeNode node)
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class Solution {
public int kthSmallest(TreeNode root, int k) {
int num = countNode(root.left);
if (num + 1 == k) {
return root.val;
} else if (num >= k) { //在左边找
return kthSmallest(root.left, k);
} else { //在右边找
return kthSmallest(root.right, k - num - 1);
}
}
private int countNode(TreeNode node) {
if (node == null) {
return 0;
}
return countNode(node.left) + countNode(node.right) + 1;
}
}
kthSmallestto find the kth
smallest element in it.
Note:
You may assume k is always valid, 1 ≤ k ≤ BST's total elements.
Follow up:
What if the BST is modified (insert/delete operations) often and you need to find the kth smallest frequently? How would you optimize the kthSmallest routine?
题目要求找到第k小的数,好在给的是一个BST树,可以比较简单的找到。
解题思路:计算root节点的左边有多少个节点,
情况1:如果左边的节点数》=k,那么第k小的元素一定在左边,
情况2:如果左边的节点数等于k-1,那么root就是要找的节点,
情况3:否则第k小的元素一定在左边,去右边找
该函数的作用是计算node下有多少个节点,包括node自己
private int countNode(TreeNode node)
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class Solution {
public int kthSmallest(TreeNode root, int k) {
int num = countNode(root.left);
if (num + 1 == k) {
return root.val;
} else if (num >= k) { //在左边找
return kthSmallest(root.left, k);
} else { //在右边找
return kthSmallest(root.right, k - num - 1);
}
}
private int countNode(TreeNode node) {
if (node == null) {
return 0;
}
return countNode(node.left) + countNode(node.right) + 1;
}
}
相关文章推荐
- java对世界各个时区(TimeZone)的通用转换处理方法(转载)
- java-注解annotation
- java-模拟tomcat服务器
- java-用HttpURLConnection发送Http请求.
- java-WEB中的监听器Lisener
- Android IPC进程间通讯机制
- Android Native 绘图方法
- Android java 与 javascript互访(相互调用)的方法例子
- 介绍一款信息管理系统的开源框架---jeecg
- 聚类算法之kmeans算法java版本
- java实现 PageRank算法
- PropertyChangeListener简单理解
- c++11 + SDL2 + ffmpeg +OpenAL + java = Android播放器
- 插入排序
- 冒泡排序
- 堆排序
- 快速排序
- 二叉查找树