排序算法汇总

直接插入排序算法

#include <iostream>  
  
#define N 10  
int main()  
{  
    int a[N] = {14,12,72,56,32,10,97,67,25,48};  
  
    for (int j=1; j<N; ++j)  
    {  
        int key = a[j];  
        int i = j-1;  
  
        while (i>=0 && a[i]>key)  
        {  
            a[i+1] = a[i];  
            i--;  
        }  
  
        a[i+1] = key;  
    }  
  
    for (int k=0; k<N; ++k)  
    {  
        std::cout << a[k] << std::endl;  
    }  
  
    system("pause");  
    return 0;  
} 

折半插入排序算法

#include <iostream>  
  
#define N 10  
  
int main()  
{  
    int a[N] = {14,12,72,56,32,10,97,67,25,48};  
  
    for (int j=1; j<N; ++j)  
    {  
        int key  = a[j];  
        int low  = 0;  
        int high = j-1;  
  
        while (low <= high)  
        {  
            int mid = (low+high)/2;  
            if (a[mid] > key) //落在低半区  
            {  
                high = mid - 1;  
            }  
            else  
            {  
                low = mid + 1;  
            }  
        }  
  
        for (int i=j-1; i>high; --i)  
        {  
            a[i+1] = a[i];  
        }  
  
        a[high+1] = key;  
    }  
  
    for (int k=0; k<N; ++k)  
    {  
        std::cout << a[k] << std::endl;  
    }  
  
    system("pause");  
    return 0;  
} 

2路插入排序算法,基于折半插入排序算法的基础上改进的

#include <iostream>  
  
#define N 12  
  
enum direction  
{  
    forward,  
    backward  
};  
  
void BInsertSort(int* d, int low_, int high_, int key, direction dir)  
{  
    int low  = low_;  
    int high = high_;  
  
    while (low <= high)  
    {  
        int mid = (low+high)/2;  
        if (d[mid] > key) //落在低半区  
        {  
            high = mid - 1;  
        }  
        else  
        {    
            low = mid + 1;  
        }  
    }  
  
    if (dir==forward)  
    {  
        int i=high_+1;  
        for (; i>high+1; --i)  
        {  
            d[i] = d[i-1];  
        }  
        d[i] = key;  
    }  
    else  
    {  
        int i=low_-1;  
        for (; i<low-1; ++i)  
        {  
            d[i] = d[i+1];  
        }  
        d[i] = key;  
    }  
}  
  
int main()  
{  
    int a[N]  = {86,97,96,14,12,72,56,32,10,25,48,79};  
    int d[N]  = {0};  
  
    int first = 0;  
    int final = 0;  
  
    d[0] = a[0];  
    for (int i=1; i<N; i++)  
    {  
        if (a[i]<d[0]) //小于中间值 插在后面  
        {  
            first = (first + N - 1) % N;  
            BInsertSort(d, first+1, N-1, a[i], backward);//将a[i]元素插入d[first+1]-d[N-1]区间,元素前移  
  
            /* 
            int j = 0; 
            first = (first + N - 1) % N; 
            for (j=first+1; j<N && a[i]>d[j]; j++) 
            { 
                d[j-1]=d[j]; 
            } 
            d[j-1] = a[i]; 
            */  
        }   
        else //插入前面  
        {  
            final++;  
            BInsertSort(d, 0, final-1, a[i], forward);//将a[i]元素插入d[0]-d[final-1]区间,元素后移  
  
            /* 
            int j = 0; 
            for (j=final; j>0 && a[i]<d[j]; j--) 
            { 
                d[j+1]=d[j];  
            } 
            final++; 
            d[j+1]=a[i]; 
            */  
        }  
    }  
  
    for (int k=0; k<N; k++)  
    {  
        a[k] = d[(k+first)%N];  
    }  
  
    system("pause");  
    return 0;  
}  

表插入排序算法

#include <iostream>  
  
#define N 12  
  
struct ListNode  
{  
    int       data;  
    ListNode* next;  
};  
  
//将p值插入pre和cur区间, 将last指针指向p->next   
void sort(ListNode*& root)  
{  
    ListNode* p    = root;  
    ListNode* last = root;  
    while (p)  
    {  
        ListNode* pre = NULL;  
        ListNode* cur = root;  
  
        for (; cur!=p && cur->data < p->data; cur=cur->next) //寻找比p小的最大值的位置  
        {  
            pre = cur;  
        }  
  
        if (cur == p)  
        {  
            last = p;  
            p = p->next;  
            continue;  
        }  
  
        //先保存p 然后将p移动至下一个指针  
        ListNode* q = p;  
        p = p->next;  
        last->next = p;//保存指针防止链表中断  
  
        if (pre==NULL)  
        {  
            root = q;  
            q->next = cur;  
        }  
        else  
        {  
            pre->next = q;  
            q->next   = cur;  
        }  
    }  
}  
  
void remove(ListNode*& root, int* a)  
{  
    ListNode* p = root;  
  
    int i = 0;  
    while (p)  
    {  
        a[i++] = p->data;  
        p = p->next;  
    }  
}  
  
int main()  
{  
    int a[N]  = {86,17,96,14,12,72,56,32,10,25,48,79};   
    ListNode* root = new ListNode[N];  
    ListNode* head = root; //保存原始数组指针 便于释放 因为在sort过程中对root会改动  
       
    for (int i=0; i<N; i++)  
    {  
        root[i].data = a[i];  
        root[i].next = (i==N-1) ? NULL : &root[i+1];  
    }  
  
    sort(root);  
    remove(root, a); //将数据从有序链表中拷贝回数组中  
  
    for (int i=0; i<N; ++i)  
    {  
        std::cout << a[i] << std::endl;  
    }  
  
    delete [] head;  
    system("pause");  
    return 0;  
} 

希尔插入排序算法,和直接插入算法的区别在于步长由原来的1改成了len,右边注释的是直接插入排序算法的步骤

#include <iostream>  
  
#define N 10  
  
int main()   
{   
    int a[N] = {12,27,82,24,77,79,54,36,90,21};  
  
    for (int len=N/2; len>0; len=len/2) //步长  
    {  
        //这里的for循环为直接插入排序  
        for (int j=len; j<N; ++j)   //j=1  
        {    
            int key = a[j];    
            int i = j-len;          //int i=j-1  
  
            while (i>=0 && a[i]>key)    
            {    
                a[i+len] = a[i];  //a[i+1] = a[i]  
                i=i-len;            //i--  
            }    
  
            a[i+len] = key;       //a[i+1] = key  
        }    
    }  
  
    for (int i=0; i<N; ++i)  
        std::cout << a[i] << std::endl;  
  
    system("pause");  
    return 0;  
}  

冒泡交换排序算法

#include <iostream>  
  
#define N 10  
  
int main()  
{  
    int a[N] = {12,14,72,56,32,10,97,67,25,48};  
  
    for (int i=0; i<N-1; ++i)  
    {  
        for (int j=0; j<N-i-1;j++)  
        {  
            if (a[j]>a[j+1])  
            {  
                int temp = a[j];  
                a[j] = a[j+1];  
                a[j+1] = temp;  
            }  
        }  
    }  
  
    for (int k=0; k<N; ++k)  
    {  
        std::cout << a[k] << std::endl;  
    }  
  
    system("pause");  
    return 0;  
}

快速交换排序算法

#include <iostream>  
  
#define N 10  
  
/* 
int partition(int* a, int low, int high) 
{ 
    int pivotkey = a[low]; 
    while (low<high) 
    { 
        while (low<high && a[high]>pivotkey) --high; 
        int temp1 = a[low]; 
        a[low]    = a[high]; 
        a[high]   = temp1; 
        while (low<high && a[low]<pivotkey) ++low; 
        int temp2 = a[low]; 
        a[low]    = a[high]; 
        a[high]   = temp2; 
    } 
    return low; 
} 
*/  
  
int partition(int* a, int low, int high)  
{  
    int key      = a[low];  
    int pivotkey = a[low];  
    while (low<high)  
    {  
        while (low<high && a[high]>pivotkey) --high;  
        a[low]  = a[high];  
        while (low<high && a[low]<pivotkey) ++low;  
        a[high] = a[low];  
    }  
    a[low] = key;  
    return low;  
}  
  
void qsort(int* a, int low, int high)  
{  
    if (low<high)  
    {  
        int pivotloc = partition(a, low, high);  
        qsort(a, low, pivotloc-1);  
        qsort(a, pivotloc+1, high);  
    }  
}  
  
int main()   
{   
    int a[N] = {12,27,82,24,77,79,54,36,90,21};  
  
    qsort(a, 0, N-1);  
  
    for (int i=0; i<N; ++i)  
        std::cout << a[i] << std::endl;  
  
    system("pause");  
    return 0;  
} 

简单选择排序算法

#include <iostream>  
  
#define N 10  
  
int selct_min_key(int* a, int idx)  
{  
    int pos = idx;  
    int min = a[idx];  
    for (int i=idx+1; i<N; ++i)  
    {  
        if (a[i]<min)  
        {  
            min = a[i];  
            pos = i;  
        }  
    }  
  
    return pos;  
}  
  
void selset_sort(int* a)  
{  
    for (int i=0; i<N; ++i)  
    {  
        int j=selct_min_key(a, i);  
        if (i != j)  
        {  
            int temp = a[i];  
            a[i] = a[j];  
            a[j] = temp;  
        }  
    }  
}  
  
int main()   
{   
    int a[N] = {12,27,82,24,77,79,54,36,90,21};  
  
    selset_sort(a);  
  
    for (int i=0; i<N; ++i)  
        std::cout << a[i] << std::endl;  
  
    system("pause");  
    return 0;  
} 

树形选择排序算法

#include <iostream>  
#include <math.h>  
  
#define N 10  
  
int selct_min_key(int* d, int k, int count)  
{  
    int low  = k;       //第一个节点  
    int high = count-1; //最后一个节点  
  
    while (low<high)  
    {  
        for (int i=low; i<high; i=i+2)  
        {  
            d[i/2] = d[i] > d[i+1] ? d[i+1] : d[i];  
        }  
  
        high = low-1;  
        low  = low/2;  
    }  
  
    return d[0];  
}  
  
void tree_select_sort(int* a)  
{  
    //构造完全而二叉树  
    int lay = (int)ceil(log(double(N))/log(double(2))+1);//二叉树层数  
    int count = (int)pow(double(2),lay)-1;//总共二叉树节点个数  
    int k = (int)pow(double(2), lay-1)-1;//第一个叶子节点的序号  
  
    int* d = new int[count];//申请完全二叉树空间  
    for (int i=0;i<N; ++i)//给二叉树叶子节点赋值  
    {  
        d[k+i] = a[i];  
    }  
    for (int i=k+N; i<count; ++i) //给其他的叶子节点赋最大值0x7FFFFFFF  
    {  
        d[i] = 0x7FFFFFFF;  
    }  
  
    //树形选择排序算法具体实现  
    for(int i=0; i<N; i++)  
    {  
        a[i]=selct_min_key(d, k, count);//查找并返回最小的节点  
        for(int j=k; j<count; j++)  
        {  
            if(a[i]==d[j])  
            {  
                d[j]=0x7FFFFFFF;//更改为最大值  
                break;  
            }  
        }  
    }  
  
    delete [] d;  
}  
  
int main()  
{  
    int a[N] = {12,27,82,24,77,79,54,36,90,21};   
  
    tree_select_sort(a);  
  
    for (int i=0; i<N; ++i)  
        std::cout << a[i] << std::endl;  
  
    system( "pause" );  
    return 0;  
} 

堆选择排序算法,对于大顶堆和小顶堆的不同实现,只需要更改heapadjust函数中的a[s]<a[left]、a[s]<a[right]中的比较符号就可以实现了。

#include <iostream>  
  
#define N 10  
  
void swap(int& a, int& b)  
{  
    int temp = a;  
    a = b;  
    b = temp;  
}  
  
void heapadjust(int* a, int s, int m)  
{  
    int left  = 2*s+1;  
    int right = 2*s+2;  
  
    if (left<=m-1 && a[s]<a[left]) //说明当前节点有左孩子节点,对左孩子节点递归heapadjust  
    {  
        swap(a[s],a[left]);  
        heapadjust(a,left,m);  
    }  
  
    if (right<=m-1 && a[s]<a[right]) //说明当前节点有右孩子节点,对右孩子节点递归heapadjust  
    {  
        swap(a[s],a[right]);  
        heapadjust(a,right,m);  
    }  
}  
  
void heapsort(int* a)  
{  
    for (int i=N/2-1; i>=0; i--)   
    {  
        heapadjust(a, i, N);//N个元素  
    }  
  
    for (int i=N-1;i>=0;--i) //输出堆顶元素,对剩余元素重新构建堆  
    {  
        swap(a[0],a[i]);  
        heapadjust(a, 0, i);  
    }  
}  
  
int main()  
{  
    int a[N] = {12,27,82,24,77,79,54,36,90,21};   
  
    heapsort(a);  
  
    for (int i=0; i<N; ++i)  
        std::cout << a[i] << std::endl;  
  
    system( "pause" );  
    return 0;  
}  

归并排序算法

#include <iostream>  
  
#define N 10  
  
void merge(int* a, int start, int mid, int end)  
{  
    int* d = new int[end-start+1];  
  
    int i = start;  
    int j = mid+1;  
    int k = 0;  
  
    while (i<=mid && j<=end)  
    {  
        if (a[i]<a[j])   
            d[k++] = a[i++];  
        else  
            d[k++] = a[j++];  
    }  
  
    while (i<=mid)  
    {  
        d[k++] = a[i++];  
    }  
    while (j<=end)  
    {  
        d[k++] = a[j++];  
    }  
  
    for (int c=0; c<end-start+1;c++)//将d中的元素拷贝回至a中  
    {  
        a[start+c] = d[c];  
    }  
  
    delete [] d;  
}  
  
void mergesort(int* a, int start, int end)  
{  
    if (start<end)  
    {  
        int mid = (start+end)/2;  
        mergesort(a, start, mid);  
        mergesort(a, mid+1, end);  
        merge(a, start, mid, end);  
    }  
}  
  
int main()  
{  
    int a[N] = {12,27,82,24,77,79,54,36,90,21};  
  
    mergesort(a, 0, N-1);  
  
    for (int i=0; i<N; ++i)  
        std::cout << a[i] << std::endl;  
  
    system( "pause" );  
    return 0;  
}  

桶排序算法

#include <iostream>  
  
#define N   10  
#define MID 50  
  
int partition(int* a, int low, int high)    
{    
    int key      = a[low];    
    int pivotkey = a[low];    
    while (low<high)    
    {    
        while (low<high && a[high]>pivotkey) --high;    
        a[low]  = a[high];    
        while (low<high && a[low]<pivotkey) ++low;    
        a[high] = a[low];    
    }    
    a[low] = key;    
    return low;    
}    
  
void qsort(int* a, int low, int high)    
{    
    if (low<high)    
    {    
        int pivotloc = partition(a, low, high);    
        qsort(a, low, pivotloc-1);    
        qsort(a, pivotloc+1, high);    
    }    
}  
  
void bucketsort(int* a)  
{  
    int* b1 = new int[N/2];int bi1 = 0;  
    int* b2 = new int[N/2];int bi2 = 0;  
  
    for (int i=0;i<N;i++)  
    {  
        if (a[i]<MID)   
            b1[bi1++] = a[i];  
        else  
            b2[bi2++] = a[i];  
    }  
  
    qsort(b1, 0, N/2-1);  
    qsort(b2, 0, N/2-1);  
  
    for (int i=0;i<N/2; ++i)  
    {  
        a[i]     = b1[i];  
        a[i+N/2] = b2[i];  
    }  
  
    delete [] b1;  
    delete [] b2;  
}  
  
int main()  
{  
    int a[N] = {12,27,82,24,77,79,54,36,90,21};//100以内的数  
  
    bucketsort(a);  
  
    for (int i=0; i<N; ++i)  
        std::cout << a[i] << std::endl;  
  
    system( "pause" );  
    return 0;  
}

 

转载于:https://www.cnblogs.com/xdyuklj/archive/2012/07/17/2594847.html

基于Spring Boot搭建的一个多功能在线学习系统的实现细节。系统分为管理员和用户两个主要模块。管理员负责视频、文件和文章资料的管理以及系统运营维护;用户则可以进行视频播放、资料下载、参与学习论坛并享受个性化学习服务。文中重点探讨了文件下载的安全性和性能优化(如使用Resource对象避免内存溢出),积分排行榜的高效实现(采用Redis Sorted Set结构),敏感词过滤机制(利用DFA算法构建内存过滤树)以及视频播放的浏览器兼容性解决方案(通过FFmpeg调整MOOV原子位置)。此外,还提到了权限管理方面自定义动态加载器的应用,提高了系统的灵活性和易用性。 适合人群:对Spring Boot有一定了解,希望深入理解其实际应用的技术人员,尤其是从事在线教育平台开发的相关从业者。 使用场景及目标:适用于需要快速搭建稳定高效的在线学习平台的企业或团队。目标在于提供一套完整的解决方案,涵盖从资源管理到用户体验优化等多个方面,帮助开发者更好地理解和掌握Spring Boot框架的实际运用技巧。 其他说明:文中不仅提供了具体的代码示例和技术思路,还分享了许多实践经验教训,对于提高项目质量有着重要的指导意义。同时强调了安全性、性能优化等方面的重要性,确保系统能够应对大规模用户的并发访问需求。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值