题目

In computer science, a heap is a specialized tree-based data structure that satisfies the heap property: if P is a parent node of C, then the key (the value) of P is either greater than or equal to (in a max heap) or less than or equal to (in a min heap) the key of C. A common implementation of a heap is the binary heap, in which the tree is a complete binary tree. (Quoted from Wikipedia at https://en.wikipedia.org/wiki/Heap_ (data_structure)) One thing for sure is that all the keys along any path from the root to a leaf in a max/min heap must be in non-increasing/non-decreasing order.

Your job is to check every path in a given complete binary tree, in order to tell if it is a heap or not.

Input Specification:

Each input file contains one test case. For each case, the first line gives a positive integer N (1<N≤1,000), the number of keys in the tree. Then the next line contains N distinct integer keys (all in the range of int), which gives the level order traversal sequence of a complete binary tree.

Output Specification:

For each given tree, first print all the paths from the root to the leaves. Each path occupies a line, with all the numbers separated by a space, and no extra space at the beginning or the end of the line. The paths must be printed in the following order: for each node in the tree, all the paths in its right subtree must be printed before those in its lef subtree.

Finally print in a line Max Heap if it is a max heap, or Min Heap for a min heap, or Not Heap if it is not a heap at all.

Sample Input 1:

8

98 72 86 60 65 12 23 50

Sample Output 1:

98 86 23

98 86 12

98 72 65

98 72 60 50

Max Heap

Sample Input 2:

8

8 38 25 58 52 82 70 60

Sample Output 2:

8 25 70

8 25 82

8 38 52

8 38 58 60

Min Heap

Sample Input 3:

8

10 28 15 12 34 9 8 56

Sample Output 3:

10 15 8

10 15 9

10 28 34

10 28 12 56

Not Heap

题目分析

已知完全二叉树层序序列,打印所有路径(从根节点到叶子节点)并判断是否为堆,为大顶堆还是小顶堆

解题思路

  1. 打印路径

    思路01:dfs深度优先遍历,用整型数组path[n]记录路径进行回溯

    思路02:dfs深度优先遍历,用vector vin链表记录路径进行回溯
  2. 判断是否为堆,为大顶堆还是小顶堆

    思路01:递归判断,用父节点与其左右子节点进行比较判断

    思路02:for循环,用所有子节点与其父节点进行比较判断

Code

Code 01

#include <iostream>
using namespace std;
/*
利用数组回溯
*/
int level[1001],path[1001];
int n;
void printPath(int pin) {
for(int i=0; i<=pin; i++) {
printf("%d",path[i]);
printf("%s",i==pin?"\n":" ");
}
}
void dfs(int vin, int pin) {
path[pin]=level[vin];
if(2*vin+1>=n) { //左右子节点都为NULL 2*vin+1>=n则一定2*vin+2>=n
printPath(pin);
return;
} else if(2*vin+2>=n) { //左子节点非NULL 右子节点为NULL
path[pin+1]=level[2*vin+1]; //添加左子节点后 打印退出
printPath(pin+1);
return;
} else {
dfs(2*vin+2,pin+1);
dfs(2*vin+1,pin+1);
}
}
bool isMaxHeap(int vin) {
if(2*vin+1>=n)return true; //左右子节点都为NULL 2*vin+1>=n则一定2*vin+2>=n
if(2*vin+1<n&&level[2*vin+1]>level[vin])return false;
if(2*vin+2<n&&level[2*vin+2]>level[vin])return false;
return isMaxHeap(2*vin+1)&&isMaxHeap(2*vin+2);
}
bool isMinHeap(int vin) {
if(2*vin+1>=n)return true; //左右子节点都为NULL 2*vin+1>=n则一定2*vin+2>=n
if(2*vin+1<n&&level[2*vin+1]<level[vin])return false;
if(2*vin+2<n&&level[2*vin+2]<level[vin])return false;
return isMinHeap(2*vin+1)&&isMinHeap(2*vin+2);
}
int main(int argc,char * argv[]) {
scanf("%d",&n);
for(int i=0; i<n; i++) {
scanf("%d",&level[i]);
}
dfs(0,0);
if(isMaxHeap(0)) {
printf("Max Heap\n");
} else if(isMinHeap(0)) {
printf("Min Heap\n");
} else {
printf("Not Heap\n");
}
return 0;
}

Code 02

#include <iostream>
#include <vector>
using namespace std;
/*
利用链表回溯
*/
int level[1001];
vector<int> path;
int n,isMax=1,isMin=1;
void printPath() {
for(int i=0; i<path.size(); i++) {
printf("%d",path[i]);
printf("%s",i==pin?"\n":" ");
}
}
void dfs(int vin) {
if(2*vin+1>=n) { //左右子节点都为NULL 2*vin+1>=n则一定2*vin+2>=n
printPath();
} else if(2*vin+2>=n) {//左子节点非NULL 右子节点为NULL
path.push_back(level[2*vin+1]);
printPath();
path.pop_back();
} else {
path.push_back(level[2*vin+2]);
dfs(2*vin+2);
path.pop_back();
path.push_back(level[2*vin+1]);
dfs(2*vin+1);
path.pop_back();
}
}
int main(int argc,char * argv[]) {
scanf("%d",&n);
for(int i=0; i<n; i++) {
scanf("%d",&level[i]);
}
path.push_back(level[0]);
dfs(0);
for(int i=1;i<n;i++){
if(level[(i-1)/2]>level[i])isMin=0; //如果i是从1存储的,这里应该是level[i/2]>level[i]
if(level[(i-1)/2]<level[i])isMax=0;
}
if(isMax==1) {
printf("Max Heap\n");
} else if(isMin==1) {
printf("Min Heap\n");
} else {
printf("Not Heap\n");
}
return 0;
}

Code 03

#include <iostream>
using namespace std;
/*
利用数组回溯
*/
int level[1001],path[1001];
int n,isMax=1,isMin=1;
void printPath(int pin) {
for(int i=0; i<=pin; i++) {
printf("%d",path[i]);
printf("%s",i==pin?"\n":" ");
}
}
void dfs(int vin, int pin) {
path[pin]=level[vin];
if(2*vin+1>=n) { //左右子节点都为NULL 2*vin+1>=n则一定2*vin+2>=n
printPath(pin);
return;
} else if(2*vin+2>=n) { //左子节点非NULL 右子节点为NULL
path[pin+1]=level[2*vin+1]; //添加左子节点后 打印退出
printPath(pin+1);
return;
} else {
dfs(2*vin+2,pin+1);
dfs(2*vin+1,pin+1);
}
}
int main(int argc,char * argv[]) {
scanf("%d",&n);
for(int i=0; i<n; i++) {
scanf("%d",&level[i]);
}
dfs(0,0);
for(int i=1;i<n;i++){
if(level[(i-1)/2]>level[i])isMin=0; //如果i是从1存储的,这里应该是level[i/2]>level[i]
if(level[(i-1)/2]<level[i])isMax=0;
}
if(isMax==1) {
printf("Max Heap\n");
} else if(isMin==1) {
printf("Min Heap\n");
} else {
printf("Not Heap\n");
}
return 0;
}

PAT Advanced 1155 Heap Paths (30) [DFS, 深搜回溯,堆]的更多相关文章

  1. PAT Advanced 1155 Heap Paths (30 分)

    In computer science, a heap is a specialized tree-based data structure that satisfies the heap prope ...

  2. PAT甲级 1155 Heap Paths (30分) 堆模拟

    题意分析: 给出一个1000以内的整数N,以及N个整数,并且这N个数是按照完全二叉树的层序遍历输出的序列,输出所有的整条的先序遍历的序列(根 右 左),以及判断整棵树是否是符合堆排序的规则(判断是大顶 ...

  3. UVA 165 Stamps (DFS深搜回溯)

     Stamps  The government of Nova Mareterrania requires that various legal documents have stamps attac ...

  4. pat甲级 1155 Heap Paths (30 分)

    In computer science, a heap is a specialized tree-based data structure that satisfies the heap prope ...

  5. PAT 甲级 1155 Heap Paths

    https://pintia.cn/problem-sets/994805342720868352/problems/1071785408849047552 In computer science, ...

  6. PTA 1155 Heap Paths (DFS)

    题目链接:1155 Heap Paths (30 分) In computer science, a heap is a specialized tree-based data structure t ...

  7. HDU5723 Abandoned country (最小生成树+深搜回溯法)

    Description An abandoned country has n(n≤100000) villages which are numbered from 1 to n. Since aban ...

  8. DFS深搜——Red and Black——A Knight&#39;s Journey

    深搜,从一点向各处搜找到全部能走的地方. Problem Description There is a rectangular room, covered with square tiles. Eac ...

  9. DFS 深搜专题 入门典例 -- 凌宸1642

    DFS 深搜专题 入门典例 -- 凌宸1642 深度优先搜索 是一种 枚举所有完整路径以遍历所有情况的搜索方法 ,使用 递归 可以很好的实现 深度优先搜索. 1 最大价值 题目描述 ​ 有 n 件物品 ...

随机推荐

  1. [转载]@Component 和 @Bean 的区别

    @Component 和 @Bean 的区别 @Component 和 @Bean 的区别 Spring帮助我们管理Bean分为两个部分,一个是注册Bean,一个装配Bean. 完成这两个动作有三种方 ...

  2. POJ 3274:Gold Balanced Lineup 做了两个小时的哈希

    Gold Balanced Lineup Time Limit: 2000MS   Memory Limit: 65536K Total Submissions: 13540   Accepted:  ...

  3. 你必须知道的.Net 8.2.2 本质分析

    1 .Equals  静态方法  Equals 静态方法实现了对两个对象的相等性判别,其在 System.Object 类型中实现过程可以表 示为: public static bool Equals ...

  4. CentOS下安装Orcale

    以前没有安装过,最近安装了.感觉在Liunx安装真的超麻烦.这是技术文档,分享给大家. LINUX安装oracle数据库步骤: 1.安装依赖包    yum -y install  gcc gcc-c ...

  5. Thinkcmf任意漏洞包含漏洞分析复现

    简介 ThinkCMF是一款基于PHP+MYSQL开发的中文内容管理框架,底层采用ThinkPHP3.2.3构建.ThinkCMF提出灵活的应用机制,框架自身提供基础的管理功能,而开发者可以根据自身的 ...

  6. JVM:Java 类的加载机制

    虚拟机把描述类的数据从 Class 文件加载到内存,并对数据进行校验,转换,解析和初始化,最终形成可以被虚拟机直接使用的 Java 类型,这就是虚拟机的类加载机制. 类的生命周期 类从被加载到虚拟机内 ...

  7. ORACLE SQL DEVELOPER配置

    1.首先,sql developer是用java开发的 所以闲进行java配置. 如果首次打开提醒需要配置java环境 那就选择对应的目录即可. 如果不提示 那就忽略以上内容. 首次打开 会提示 是否 ...

  8. ubuntu18.04下安装oh-my-zsh

    安装 sudo apt-get install zsh wget --no-check-certificate https://github.com/robbyrussell/oh-my-zsh/ra ...

  9. jmeter性能测试--浪涌测试

    1.         Ultimate Thread Group 右键测试计划-添加-Theads(Users)-Ultimate Thread Group,如下图1所示 图1 图2 参数说明,如下图 ...

  10. CANmonitor我自己编写的程序

    这个版本的程序, 上位机可以对电机的转速进行在线的设定,同时上位机接受电机控制器上报的母线电压,电机温度,控制器温度等. 在调试的过程中我遇见了一个问题,电机的转速的采样 . 根据协议:电机的转速为1 ...