zoukankan      html  css  js  c++  java
  • 1098 Insertion or Heap Sort (25 分) 堆

    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, N integers 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<bits/stdc++.h>
    using namespace std;
    const int maxn=100005;
    const int N=111;
    int origin[N],tempOri[N],changed[N];
    int n;
    bool isSame(int A[],int B[]){
        for(int i=1;i<=n;i++){
            if(A[i]!=B[i]){
                return false;
            }
        }
        return true;
    }
    bool showArray(int A[]){
        for(int i=1;i<=n;i++){
            printf("%d",A[i]);
            if(i<n){
                printf(" ");
            }
        }
        printf("
    ");
        
    }
    bool insertSort(){
        bool flag=false;
        for(int i=2;i<=n;i++){
            if(i!=2&&isSame(tempOri,changed)){
                flag=true;
            }
            sort(tempOri,tempOri+i+1);
            if(flag==true){
                return true;
            }
        }
        return false;
        
    }
    void downAdjust(int low,int high){
        int i=low,j=i*2;
        while(j<=high){
            if(j+1<=high&&tempOri[j+1]>tempOri[j]){
                j=j+1;
            }
            if(tempOri[j]>tempOri[i]){
                swap(tempOri[j],tempOri[i]);
                i=j;
                j=i*2;
            }else{
                break;
            }
        }
    }
    void heapSort(){
        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;
            }
        }
    }
    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];
            }
            heapSort();
        }
    
        return 0;
    }
  • 相关阅读:
    delphi 指针 认识
    delphi Post数据到网页
    delphi将图片转换成Base64编码函数
    delphi 获取windows任务栏的高度
    获取当天是星期几,计算两个日期相隔时间
    博客园样式自定义(待更新)
    redux超易学三篇之三(一个逻辑完整的react-redux)
    redux超易学三篇之二(开始使用react-redux)
    redux超易学三篇之一(单独说redux)
    毕业季
  • 原文地址:https://www.cnblogs.com/dreamzj/p/14519680.html
Copyright © 2011-2022 走看看