[LeetCode] 270. Closest Binary Search Tree Value 最近的二叉搜索树的值
Given a non-empty binary search tree and a target value, find the value in the BST that is closest to the target.
Note:
- Given target value is a floating point.
- You are guaranteed to have only one unique value in the BST that is closest to the target.
给一个非空二叉树和一个目标值,找到和目标值最接近的一个节点值。
利用二分搜索树的特点(左<根<右)来快速定位,由于根节点是中间值,在遍历时,如果目标值小于节点值,则找更小的值到左子树去找,反之去右子树找。
解法1:迭代
解法2:递归
Java:
public int closestValue(TreeNode root, double target) {
double min=Double.MAX_VALUE;
int result = root.val;
while(root!=null){
if(target>root.val){
double diff = Math.abs(root.val-target);
if(diff<min){
min = Math.min(min, diff);
result = root.val;
}
root = root.right;
}else if(target<root.val){
double diff = Math.abs(root.val-target);
if(diff<min){
min = Math.min(min, diff);
result = root.val;
}
root = root.left;
}else{
return root.val;
}
}
return result;
}
Java:
public class Solution {
int goal;
double min = Double.MAX_VALUE;
public int closestValue(TreeNode root, double target) {
helper(root, target);
return goal;
}
public void helper(TreeNode root, double target){
if(root==null)
return;
if(Math.abs(root.val - target) < min){
min = Math.abs(root.val-target);
goal = root.val;
}
if(target < root.val){
helper(root.left, target);
}else{
helper(root.right, target);
}
}
}
Java: Iteration
/**
* 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 closestValue(TreeNode root, double target) {
if (root == null) return 0;
int min = root.val;
while (root != null) {
min = (Math.abs(root.val - target) < Math.abs(min - target) ? root.val : min);
root = (root.val < target) ? root.right : root.left;
}
return min;
}
}
Java: Recursion
/**
* 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 closestValue(TreeNode root, double target) {
TreeNode child = target < root.val ? root.left : root.right;
if (child == null) {
return root.val;
}
int childClosest = closestValue(child, target);
return Math.abs(root.val - target) < Math.abs(childClosest - target) ? root.val : childClosest;
}
}
Python: Iteration, Time: O(h), Space: O(1)
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None class Solution(object):
def closestValue(self, root, target):
"""
:type root: TreeNode
:type target: float
:rtype: int
"""
gap = float("inf")
closest = float("inf")
while root:
if abs(root.val - target) < gap:
gap = abs(root.val - target)
closest = root
if target == root.val:
break
elif target < root.val:
root = root.left
else:
root = root.right
return closest.val
C++: Iteration
/**
* Definition for a binary tree node.
* struct TreeNode {
* int val;
* TreeNode *left;
* TreeNode *right;
* TreeNode(int x) : val(x), left(NULL), right(NULL) {}
* };
*/
class Solution {
public:
int closestValue(TreeNode* root, double target) {
double gap = numeric_limits<double>::max();
int closest = numeric_limits<int>::max(); while (root) {
if (abs(static_cast<double>(root->val) - target) < gap) {
gap = abs(root->val - target);
closest = root->val;
}
if (target == root->val) {
break;
} else if (target < root->val) {
root = root->left;
} else {
root = root->right;
}
}
return closest;
}
};
C++: Iteration
class Solution {
public:
int closestValue(TreeNode* root, double target) {
int res = root->val;
while (root) {
if (abs(res - target) >= abs(root->val - target)) {
res = root->val;
}
root = target < root->val ? root->left : root->right;
}
return res;
}
};
C++: Recursion
class Solution {
public:
int closestValue(TreeNode* root, double target) {
int a = root->val;
TreeNode *t = target < a ? root->left : root->right;
if (!t) return a;
int b = closestValue(t, target);
return abs(a - target) < abs(b - target) ? a : b;
}
};
C++: Recursion
class Solution {
public:
int closestValue(TreeNode* root, double target) {
int res = root->val;
if (target < root->val && root->left) {
int l = closestValue(root->left, target);
if (abs(res - target) >= abs(l - target)) res = l;
} else if (target > root->val && root->right) {
int r = closestValue(root->right, target);
if (abs(res - target) >= abs(r - target)) res = r;
}
return res;
}
};
类似题目:
All LeetCode Questions List 题目汇总
[LeetCode] 270. Closest Binary Search Tree Value 最近的二叉搜索树的值的更多相关文章
- [LeetCode] 272. Closest Binary Search Tree Value II 最近的二分搜索树的值之二
Given a non-empty binary search tree and a target value, find k values in the BST that are closest t ...
- [LeetCode] Trim a Binary Search Tree 修剪一棵二叉搜索树
Given a binary search tree and the lowest and highest boundaries as L and R, trim the tree so that a ...
- [LeetCode] Closest Binary Search Tree Value II 最近的二分搜索树的值之二
Given a non-empty binary search tree and a target value, find k values in the BST that are closest t ...
- Leetcode 270. Closest Binary Search Tree Value
Given a non-empty binary search tree and a target value, find the value in the BST that is closest t ...
- [leetcode]270. Closest Binary Search Tree Value二叉搜索树中找target的最接近值
Given a non-empty binary search tree and a target value, find the value in the BST that is closest t ...
- leetCode 95.Unique Binary Search Trees II (唯一二叉搜索树) 解题思路和方法
Given n, generate all structurally unique BST's (binary search trees) that store values 1...n. For e ...
- 109 Convert Sorted List to Binary Search Tree 有序链表转换二叉搜索树
给定一个单元链表,元素按升序排序,将其转换为高度平衡的BST.对于这个问题,一个高度平衡的二叉树是指:其中每个节点的两个子树的深度相差不会超过 1 的二叉树.示例:给定的排序链表: [-10, -3, ...
- Leetcode109. Convert Sorted List to Binary Search Tree有序链表转换二叉搜索树
给定一个单链表,其中的元素按升序排序,将其转换为高度平衡的二叉搜索树. 本题中,一个高度平衡二叉树是指一个二叉树每个节点 的左右两个子树的高度差的绝对值不超过 1. 示例: 给定的有序链表: [-10 ...
- [LeetCode] 272. Closest Binary Search Tree Value II 最近的二叉搜索树的值 II
Given a non-empty binary search tree and a target value, find k values in the BST that are closest t ...
随机推荐
- python deque的内在实现 本质上就是双向链表所以用于stack、队列非常方便
How collections.deque works? Cosven 前言:在 Python 生态中,我们经常使用 collections.deque 来实现栈.队列这些只需要进行头尾操作的 ...
- python正则表达式(1)--特殊字符
正则表达式—特殊表达式含义 正则表达式的字母和数字表示他们自身,但多数字母和数字前加一个反斜杠时会拥有不同的含义. 下面列出了正则表达式模式语法中的特殊元素. 1.普通字符集 1) \w ...
- 微信小程序之执行环境
明白了小程序中的 JavaScript 同浏览器以及NodeJS有所不同后,开发者还需要注意到另外一个问题,不同的平台的小程序的脚本执行环境也是有所区别的. 小程序目前可以运行在三大平台: iOS平台 ...
- assert 断言
输入 assert 1>2,'123' 输出结果 assert 1>2,'123' AssertionError: 123
- toB创业中的5个行动原则- SaaS创业路线图
https://www.iyiou.com/p/84471.html 1.硬骨头原则 很多创业者急于求成,这做不好toB创业. 举例来说,产品价值阶段如果发现效果不明显,硬要推进到营销阶段在销售上想办 ...
- mybatis框架-SqlSession会话操作数据库的两种方式
1.通过SqlSession实力来直接执行已经映射的sql语句 例如,查询整个用户表中的信息 在UserMapper.xml中编写sql语句 编写测试方法: 注意:这里使用的selectList方法: ...
- [NOIp 2018]all
Description 题库链接: Day1 T1 铺设道路 Day1 T2 货币系统 Day1 T3 赛道修建 Day2 T1 旅行 Day2 T2 填数游戏 Day2 T3 保卫王国 Soluti ...
- AtCoder Beginner Contest 125 解题报告
那天晚上刚好有事就咕了. 最近的那一场E题还不会写.F题全场又只过了三个?留坑吧... A - Biscuit Generator #include <cstdio> using name ...
- hibernate的持久化类、主键生成策略
一.hibernate的持久化类 1.什么是持久化类: 持久化:将数据存储到关系型数据库. 持久化类:与数据库中的数据表建立了某种关系的java类.(持久化类=javabean+映射配置文件) 2.持 ...
- 17-ESP8266 SDK开发基础入门篇--TCP服务器 RTOS版,小试牛刀
https://www.cnblogs.com/yangfengwu/p/11105466.html 现在开始写... lwip即可以用socket 的API 也可以用 netconn 的API实 ...