[leetcode] 树(Ⅱ)
All questions are simple level.
Construct String from Binary Tree
Question[606]:You need to construct a string consists of parenthesis and integers from a binary tree with the preorder traversing way. The null node needs to be represented by empty parenthesis pair "()". And you need to omit all the empty parenthesis pairs that don't affect the one-to-one mapping relationship between the string and the original binary tree.
Example
Input: Binary tree: [1,2,3,4]
1
/ \
2 3
/
4
Output: "1(2(4))(3)"
Explanation: Originallay it needs to be "1(2(4)())(3()())", but you need to omit all the unnecessary empty parenthesis pairs. And it will be "1(2(4))(3)".
Solution
Use pre-order traversal. These two methods is the same. The first one is implemented by passing arguments by reference. The second one is implemented by returned value.
class Solution
{
public:
string tree2str(TreeNode *t)
{
// string s = "";
// preorder(t, s);
// return s;
return preorder2(t);
}
void preorder(TreeNode *p, string &s)
{
if (p == nullptr)
return;
string sval = to_string(p->val);
string l, r;
preorder(p->left, l);
preorder(p->right, r);
s += sval;
bool lflag = (l != "");
bool rflag = (r != "");
if (lflag && rflag)
s += "(" + l + ")(" + r + ")";
if (!lflag && rflag)
s += "()(" + r + ")";
if (lflag && !rflag)
s += "(" + l + ")";
}
string preorder2(TreeNode *p)
{
if (p == nullptr)
return "";
bool l = (p->left != nullptr);
bool r = (p->right != nullptr);
string sval = to_string(p->val);
if (l && r)
return sval + "(" + preorder2(p->left) + ")(" + preorder2(p->right) + ")";
if (!l && r)
return sval + "()(" + preorder2(p->right) + ")";
if (l && !r)
return sval + "(" + preorder2(p->left) + ")";
return sval;
}
};
Merge Two Binary Trees
Question[617]: Given two binary trees and imagine that when you put one of them to cover the other, some nodes of the two trees are overlapped while the others are not. You need to merge them into a new binary tree. The merge rule is that if two nodes overlap, then sum node values up as the new value of the merged node. Otherwise, the NOT null node will be used as the node of new tree.
Solution: Two versions, including recursion and iteration.
Recursion version-1: create a completely new tree
class Solution
{
public:
TreeNode *mergeTrees(TreeNode *t1, TreeNode *t2)
{
TreeNode *root = nullptr;
innerMerge(root, t1, t2);
return root;
}
void innerMerge(TreeNode *&p, TreeNode *t1, TreeNode *t2)
{
bool flag1 = (t1 != nullptr);
bool flag2 = (t2 != nullptr);
if (flag1 && flag2)
p = new TreeNode(t1->val + t2->val);
else if (!flag1 && flag2)
p = new TreeNode(t2->val);
else if (flag1 && !flag2)
p = new TreeNode(t1->val);
else
return;
innerMerge(p->left, flag1 ? t1->left : nullptr, flag2 ? t2->left : nullptr);
innerMerge(p->right, flag1 ? t1->right : nullptr, flag2 ? t2->right : nullptr);
}
};
Recursion version-2: directly modify on
t1
class Solution
{
public:
TreeNode *mergeTrees(TreeNode *t1, TreeNode *t2)
{
return innerMerge(t1, t2);
} TreeNode *innerMerge(TreeNode *t1, TreeNode *t2)
{
if (t1 == nullptr)
return t2;
if (t2 == nullptr)
return t1;
t1->val += t2->val;
t1->left = innerMerge(t1->left, t2->left);
t1->right = innerMerge(t1->right, t2->right);
return t1;
}
};
Iteration-version implemented by pre-order traversal, modify on
t1
:TreeNode *mergeTrees(TreeNode *t1, TreeNode *t2)
{
return preorderMerge(t1, t2);
}
TreeNode *preorderMerge(TreeNode *t1, TreeNode *t2)
{
typedef pair<TreeNode *, TreeNode *> node;
if (t1 == nullptr)
return t2;
stack<node> s;
s.push(node(t1, t2));
while (!s.empty())
{
node n = s.top();
s.pop();
if (n.second == nullptr)
continue;
n.first->val += n.second->val;
if (n.first->left == nullptr)
n.first->left = n.second->left;
else
s.push(node(n.first->left, n.second->left));
if (n.first->right == nullptr)
n.first->right = n.second->right;
else
s.push(node(n.first->right, n.second->right));
}
return t1;
}
Average of Levels in Binary Tree
Question[637]: Given a non-empty binary tree, return the average value of the nodes on each level in the form of an array.
Example
Input:
3
/ \
9 20
/ \
15 7
Output: [3, 14.5, 11]
Explanation: The average value of nodes on level 0 is 3, on level 1 is 14.5, and on level 2 is 11. Hence return [3, 14.5, 11].
Solution
Level-order traversal. Use the map
sumrecord
to record the sum of each level. Usenumrecord
to record the number of nodes of each level.vector<double> averageOfLevels(TreeNode *root)
{
typedef pair<TreeNode *, int> node;
unordered_map<int, double> sumrecord;
unordered_map<int, int> numrecord;
queue<node> q;
q.push(node(root, 0));
while (!q.empty())
{
auto n = q.front();
q.pop();
sumrecord[n.second] += n.first->val;
numrecord[n.second]++;
if (n.first->left != nullptr)
q.push(node(n.first->left, n.second + 1));
if (n.first->right != nullptr)
q.push(node(n.first->right, n.second + 1));
}
vector<double> v(numrecord.size());
for (auto &x : sumrecord)
v[x.first] = x.second / numrecord[x.first];
return v;
}
Level-order traversal. Only use queue, discard the help of
node
andunordered_map
.vector<double> levelorder(TreeNode *root)
{
vector<double> v;
queue<TreeNode *> q;
q.push(root);
while (!q.empty())
{
queue<TreeNode *> nextlevel;
int64_t sum = 0;
int counter = 0;
while (!q.empty())
{
auto p = q.front();
q.pop();
sum += p->val, counter++;
if (p->left != nullptr)
nextlevel.push(p->left);
if (p->right != nullptr)
nextlevel.push(p->right);
}
q = nextlevel;
v.push_back(sum * 1.0 / counter);
}
return v;
}
Two Sum IV - Input is a BST
Question[653]: Given a Binary Search Tree and a target number, return true if there exist two elements in the BST such that their sum is equal to the given target.
Example
Input:
5
/ \
3 6
/ \ \
2 4 7
Target = 9
Output: True
Explanation: 9 = 3+6, 9 = 2+7, 9 = 4+5
Solution
First, implement a function named search(root, val)
which is used to search val
in a tree root
. Then, traversal the tree root
to judge every node p
whether there is another node q
satisfies p->val + q->val == k
.
bool search(TreeNode *p, int val, TreeNode *exceptNode)
{
if (p == nullptr)
return false;
if (p->val == val && p != exceptNode)
return true;
if (val < p->val)
return search(p->left, val, exceptNode);
return search(p->right, val, exceptNode);
}
bool levelorder(TreeNode *root, int k)
{
queue<TreeNode *> q;
q.push(root);
while (!q.empty())
{
auto p = q.front();
q.pop();
int val = k - p->val;
if (search(root, val, p))
return true;
if (p->left != nullptr)
q.push(p->left);
if (p->right != nullptr)
q.push(p->right);
}
return false;
}
Trim a Binary Search Tree
Question[669]: Given a binary search tree and the lowest and highest boundaries as L and R, trim the tree so that all its elements lies in [L, R] (R >= L). You might need to change the root of the tree, so the result should return the new root of the trimmed binary search tree.
Example-1
Input-1:
1
/ \
0 2
L = 1
R = 2
Output-1:
1
\
2
Example-2
Input-2:
3
/ \
0 4
\
2
/
1
L = 1
R = 3
Output-2:
3
/
2
/
1
Solution
For each node of a BST, there are only three cases:
- val < L
- val > R
- L <= val <= R
When val < L, for an example:
parent parent parent
| | |
9 ==> 9 ==> right
/ \ / \
left right null right
All values in the left
sub-tree should be less than 9, hence the left
sub-tree should be discarded. And because of '9' is less than L
, hence it also should be discarded. The code to do these two operations is:
p->left = nullptr, p = trim(p->right)
The case val > R
is similar to case val < L
.
For the case L <= val <= R
, there is nothing to do on the val
node. Just continue to trim on its left sub-tree and right sub-tree.
Version-1:
TreeNode *trimBST(TreeNode *root, int L, int R)
{
return innerTrim(root, L, R);
}
TreeNode *innerTrim(TreeNode *&p, int l, int r)
{
if (p == nullptr)
return nullptr;
if (p->val < l)
{
p->left = nullptr;
return p = innerTrim(p->right, l, r);
}
else if (p->val > r)
{
p->right = nullptr;
return p = innerTrim(p->left, l, r);
}
else
{
p->left = innerTrim(p->left, l, r);
p->right = innerTrim(p->right, l, r);
return p;
}
}
Version-2:
TreeNode *trimBST(TreeNode *root, int L, int R)
{
innerTrim2(root, L, R);
return root;
}
void innerTrim2(TreeNode *&p, int l, int r)
{
if (p == nullptr)
return;
if (p->val < l)
{
p->left = nullptr, p = p->right;
innerTrim2(p, l, r);
return;
}
else if (p->val > r)
{
p->right = nullptr, p = p->left;
innerTrim2(p, l, r);
return;
}
else
{
innerTrim2(p->left, l, r);
innerTrim2(p->right, l, r);
}
}
Second Minimum Node In a Binary Tree
Question[671]: Given a non-empty special binary tree consisting of nodes with the non-negative value, where each node in this tree has exactly two or zero sub-node. If the node has two sub-nodes, then this node's value is the smaller value among its two sub-nodes. More formally, the property root.val = min(root.left.val, root.right.val)
always holds. Given such a binary tree, you need to output the second minimum value in the set made of all the nodes' value in the whole tree. If no such second minimum value exists, output -1 instead.
Example-1
Input:
2
/ \
2 5
/ \
5 7
Output: 5
Explanation: The smallest value is 2, the second smallest value is 5.
Solution
The smallest value in the tree is root->val
(at level-0) . Hence the solution is to find the smallest value in all numbers greater (at level >= 1) than root->val
.
class Solution
{
public:
int findSecondMinimumValue(TreeNode *root)
{
if (root == nullptr || root->left == nullptr)
return -1;
int minval = root->val;
int result = -1;
queue<TreeNode *> q;
auto p = root;
q.push(p);
while (!q.empty())
{
p = q.front();
q.pop();
if (p->val > minval)
result = result == -1 ? p->val : min(result, p->val);
if (p->left)
q.push(p->left);
if (p->right)
q.push(p->right);
}
return result;
}
};
Search in a Binary Search Tree
Question[700]: Given the root node of a binary search tree (BST) and a value. You need to find the node in the BST that the node's value equals the given value. Return the subtree rooted with that node. If such node doesn't exist, you should return NULL.
Example
Given the tree:
4
/ \
2 7
/ \
1 3
And the value to search: 2
2
/ \
1 3
Solution
Simple question!
class Solution
{
public:
TreeNode *searchBST(TreeNode *root, int val)
{
return iterationSearch(root, val);
}
TreeNode *recursionSearch(TreeNode *p, int val)
{
if (p == nullptr)
return nullptr;
if (p->val == val)
return p;
else if (val < p->val)
return recursionSearch(p->left, val);
else
return recursionSearch(p->right, val);
}
TreeNode *iterationSearch(TreeNode *root, int val)
{
auto p = root;
while (p != nullptr)
{
if (p->val == val)
return p;
else if (val < p->val)
p = p->left;
else
p = p->right;
}
return nullptr;
}
};
N-ary Tree
Maximum Depth of N-ary Tree
Question[559]: Given a n-ary tree, find its maximum depth. The maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node. Nary-Tree input serialization is represented in their level order traversal, each group of children is separated by the null value (See examples).
Example
Input: root = [1,null,3,2,4,null,5,6]
1
/ | \
3 2 4
/ \
5 6
Output: 3
Solution
Level order traversal.
#include "leetcode.h"
#include <queue>
class Node
{
public:
int val;
vector<Node *> children;
Node() {}
Node(int _val) { val = _val; }
Node(int _val, vector<Node *> _children)
{
val = _val;
children = _children;
}
};
class Solution
{
public:
int maxDepth(Node *root)
{
return levelorder(root);
}
int levelorder(Node *root)
{
auto p = root;
queue<Node *> q;
q.push(p);
int level = 1;
while (!q.empty())
{
queue<Node *> nextlevel;
while (!q.empty())
{
p = q.front(), q.pop();
for (auto x : p->children)
nextlevel.push(x);
}
level += (!nextlevel.empty());
q = nextlevel;
}
return level;
}
};
N-ary Tree Preorder Traversal
Question[589]: Given an n-ary tree, return the preorder traversal of its nodes' values.
Example
Input: root = [1,null,3,2,4,null,5,6]
1
/ | \
3 2 4
/ \
5 6
Output: [1,3,5,6,2,4]
Solution
First step, we should have a look at perorder traversal of a binary tree, which is similar to open the door of fridge.
stack s;
s.push(root);
while (!s.empty())
{
p = s.top(), s.pop();
print(p->val);
if (p->right) s.push(p->right);
if (p->left) s.push(p->left);
}
Second, put the elephant
[leetcode] 树(Ⅱ)的更多相关文章
- LeetCode树专题
LeetCode树专题 98. 验证二叉搜索树 二叉搜索树,每个结点的值都有一个范围 /** * Definition for a binary tree node. * struct TreeNod ...
- leetcode 树类型题
树的测试框架: // leetcodeTree.cpp : 定义控制台应用程序的入口点. // #include "stdafx.h" #include <iostream& ...
- leetcode: 树
1. sum-root-to-leaf-numbers Given a binary tree containing digits from0-9only, each root-to-leaf pat ...
- [leetcode] 树 -Ⅰ
均为 Simple 难度的水题. 二叉树的中序遍历 题目[94]:给定一个二叉树,返回它的中序 遍历. 解题思路:Too simple. class Solution { public: vector ...
- Leetcode 树(102, 637)
637: 二叉树的层平均值 给定一个非空二叉树,返回一个由每层节点平均值组成的数组: https://leetcode-cn.com/problems/average-of-levels-in-bin ...
- leetcode树专题894.897,919,951
满二叉树是一类二叉树,其中每个结点恰好有 0 或 2 个子结点. 返回包含 N 个结点的所有可能满二叉树的列表. 答案的每个元素都是一个可能树的根结点. 答案中每个树的每个结点都必须有 node.va ...
- leetcode 树的锯齿形状遍历
二叉树的锯齿形层次遍历 给定一个二叉树,返回其节点值的锯齿形层次遍历.(即先从左往右,再从右往左进行下一层遍历,以此类推,层与层之间交替进行). 例如:给定二叉树 [3,9,20,null,n ...
- Leetcode 树 Populating Next Right Pointers in Each Node II
本文为senlie原创,转载请保留此地址:http://blog.csdn.net/zhengsenlie Populating Next Right Pointers in Each Node II ...
- leetcode树相关
目录 144前序遍历 94中序遍历(98验证二叉搜索树.230二叉搜索树中第K小的元素) 145后序遍历 102/107层次遍历(104二叉树最大深度.103 105从前序与中序遍历序列构造二叉树 1 ...
随机推荐
- python——字符串截取
str = ‘0123456789’ print str[0:3] #截取第一位到第三位的字符 print str[:] #截取字符串的全部字符 print str[6:] #截取第七个字符到结尾 p ...
- 使用NPOI将Excel表导入到数据库中
public string ExcelFile() { //指定文件路径, string fileName=@"d:\Stu.xls"; //创建一个文件流,并指定其中属性 usi ...
- c++中比较好用的黑科技
切入正题,上黑科技 一.黑科技函数(常用的我就不写了,例如sort函数) 1.next_permutation(a+1,a+1+n) a[1-n]全排列 2.reverse(a+1,a+1+n) 将a ...
- python爬虫的数据库连接问题
1.需要导的包 import pymysql 2.# mysql连接信息(字典形式) db_config ={ 'host': '127.0.0.1',#连接的主机id(107.0.0.1是本机id) ...
- Java多线程并发01——线程的创建与终止,你会几种方式
本文开始将开始介绍 Java 多线程与并发相关的知识,多谢各位一直以来的关注与支持.关注我的公众号「Java面典」了解更多 Java 相关知识点. 线程的创建方式 在 Java 中,用户常用的主动创建 ...
- Java 内存模型都不会,就敢在简历上写熟悉并发编程吗
从 PC 内存架构到 Java 内存模型 你知道 Java 内存模型 JMM 吗?那你知道它的三大特性吗? Java 是如何解决指令重排问题的? 既然CPU有缓存一致性协议(MESI),为什么 JMM ...
- Python第二周作业
绘制五角星 import turtle turtle.color('black','red') turtle.pensize(10) turtle.begin_fill() for i in rang ...
- 不要再认为Stream可读性不高了!
距离Java 8发布已经过去了7.8年的时间,Java 14也刚刚发布.Java 8中关于函数式编程和新增的Stream流API至今饱受"争议". 如果你不曾使用Stream流,那 ...
- angular http 节流
有时候点列表但是由于查询问题,后端返回数据的速度很慢,导致回来的顺序错乱,后端解决不了,前端来 在jq年代 像标志位 防抖 节流等 在angular里使用了rxjs //错误示范 getIntelli ...
- 【原创】面试官:谈谈你对mysql联合索引的认识?
引言 本文预计分为两个部分: (1)联合索引部分的基础知识 在这个部分,我们温习一下联合索引的基础 (2)联合索引部分的实战题 在这个部分,列举几个我认为算是实战中的代表题,挑出来说说. 正文 基础 ...