zoukankan      html  css  js  c++  java
  • 09-排序3 Insertion or Heap Sort (25 分)

    According to Wikipedia:

    Insertion sort iterates, consuming one input element each repetition, and growing a sorted output list. Each iteration, insertion sort removes one element from the input data, finds the location it belongs within the sorted list, and inserts it there. It repeats until no input elements remain.

    Heap sort divides its input into a sorted and an unsorted region, and it iteratively shrinks the unsorted region by extracting the largest element and moving that to the sorted region. it involves the use of a heap data structure rather than a linear-time search to find the maximum.

    Now given the initial sequence of integers, together with a sequence which is a result of several iterations of some sorting method, can you tell which sorting method we are using?

    Input Specification:

    Each input file contains one test case. For each case, the first line gives a positive integer N (≤). Then in the next line, Nintegers are given as the initial sequence. The last line contains the partially sorted sequence of the N numbers. It is assumed that the target sequence is always ascending. All the numbers in a line are separated by a space.

    Output Specification:

    For each test case, print in the first line either "Insertion Sort" or "Heap Sort" to indicate the method used to obtain the partial result. Then run this method for one more iteration and output in the second line the resulting sequence. It is guaranteed that the answer is unique for each test case. All the numbers in a line must be separated by a space, and there must be no extra space at the end of the line.

    Sample Input 1:

    10
    3 1 2 8 7 5 9 4 6 0
    1 2 3 7 8 5 9 4 6 0
    

    Sample Output 1:

    Insertion Sort
    1 2 3 5 7 8 9 4 6 0
    

    Sample Input 2:

    10
    3 1 2 8 7 5 9 4 6 0
    6 4 5 1 0 3 2 7 8 9
    

    Sample Output 2:

    Heap Sort
    5 4 3 1 0 2 6 7 8 9
    #include<cstdio>
    #include<algorithm>
    using namespace std;
    const int N = 110;
    int origin[N],tempOri[N],changed[N];
    int n;
    
    bool showArray(int A[]){   //1
        for(int i = 1; i <= n; i++){
            printf("%d",A[i]);   //2
            if(i < n) printf(" ");
        }
        printf("
    ");
    }
    
    bool isSame(int A[],int B[]){
        for(int i = 1; i <= n; i++){
            if(A[i] != B[i]) return false;
        }
        return true;
    }
    
    bool insertSort(){
        bool flag = false;
        for(int i = 2; i <= n; i++){  //3
            if(i != 2 && isSame(tempOri,changed)){ //4
                flag = true;
            }
            sort(tempOri,tempOri+i+1);  //5
            if(flag == true){
                return true;
            }
        }
        return false;
    }
    
    void downAdjust(int low,int high){
        int i = low, j = i*2;
        while(j <= high){
            if(j < high && tempOri[j] < tempOri[j+1]){
            j = j+1; 
        }
        if(tempOri[i] < tempOri[j]){
            swap(tempOri[i],tempOri[j]);
            i = j;
            j = j*2;
        }else{
            break;
        }
     }
    }
    
    void heap(){
        bool flag = false;
        for(int i = n/2; i >=1; i--){
            downAdjust(i,n);
        }
        for(int i = n; i > 1; i--){
            if(i != n && isSame(tempOri,changed)){
                flag = true;
            }
            swap(tempOri[i],tempOri[1]);
            downAdjust(1,i-1);
        if(flag == true){
        showArray(tempOri);
        return;  //7
      }
        }
    
    }
    
    int main(){
        scanf("%d",&n);
        for(int i = 1; i <= n; i++){
            scanf("%d",&origin[i]);
            tempOri[i] = origin[i];
        }
        for(int i = 1; i <= n; i++){
            scanf("%d",&changed[i]);
        }
        if(insertSort()){
            printf("Insertion Sort
    ");
            showArray(tempOri);
        }else{
            printf("Heap Sort
    ");
            for(int i = 1; i <= n; i++){
                tempOri[i] = origin[i];
            }
            heap();
        }
        return 0;
    }
  • 相关阅读:
    1,Window安装Docker
    字符串编码
    hive自带derby数据库初始化
    numpy深浅复制
    matplotlib基础学习
    pandas基础学习
    numpy基础学习
    pandas之join、merge
    pandas之索引
    pandas之时间戳
  • 原文地址:https://www.cnblogs.com/wanghao-boke/p/10409306.html
Copyright © 2011-2022 走看看