排序算法的分类
1插入:插入,折半插入,希尔
2交换:冒泡,快速
3选择:简单选择,堆
4归并:归并(不只二路归并)
5基数:
1.插入排序
void insert_sort()
{
for (int i = 1; i < n; i ++ )
{
int x = a[i];
int j = i-1;
while (j >= 0 && x < a[j])
{
a[j+1] = a[j];
j -- ;
}
a[j+1] = x;
}
}
2.选择排序
选择排序(Selection sort)是一种简单直观的排序算法。它的工作原理是:第一次从待排序的数据元素中选出最小(或最大)的一个元素,存放在序列的起始位置,然后再从剩余的未排序元素中寻找到最小(大)元素,然后放到已排序的序列的末尾。以此类推,直到全部待排序的数据元素的个数为零。选择排序是不稳定的排序方法。
void select_sort()
{
for (int i = 0; i < n; i ++ )
{
int k = i;
for (int j = i+1; j < n; j ++ )
{
if (a[j] < a[k])
k = j;
}
swap(a[i], a[k]);
}
}
3.冒泡排序
void bubble_sort()
{
for (int i = n-1; i >= 1; i -- )
{
bool flag = true;
for (int j = 1; j <= i; j ++ )
if (a[j-1] > a[j])
{
swap(a[j-1], a[j]);
flag = false;
}
if (flag) return;
}
}
4.希尔排序
void shell_sort()
{
for (int gap = n >> 1; gap; gap >>= 1)
{
for (int i = gap; i < n; i ++ )
{
int x = a[i];
int j;
for (j = i; j >= gap && a[j-gap] > x; j -= gap)
a[j] = a[j-gap];
a[j] = x;
}
}
}
5.快速排序(最快)
void quick_sort(int l, int r)
{
if (l >= r) return ;
int x = a[l+r>>1], i = l-1, j = r+1;
while (i < j)
{
while (a[++ i] < x);
while (a[-- j] > x);
if (i < j) swap(a[i], a[j]);
}
sort(l, j), sort(j+1, r);
}
6.归并排序
void merge_sort(int l, int r)
{
if (l >= r) return;
int temp[N];
int mid = l+r>>1;
merge_sort(l, mid), merge_sort(mid+1, r);
int k = 0, i = l, j = mid+1;
while (i <= mid && j <= r)
{
if (a[i] < a[j]) temp[k ++ ] = a[i ++ ];
else temp[k ++ ] = a[j ++ ];
}
while (i <= mid) temp[k ++ ] = a[i ++ ];
while (j <= r) temp[k ++ ] = a[j ++ ];
for (int i = l, j = 0; i <= r; i ++ , j ++ ) a[i] = temp[j];
}
7.堆排序(须知此排序为使用了模拟堆,为了使最后一个非叶子节点的编号为n/2,数组编号从1开始)
https://www.cnblogs.com/wanglei5205/p/8733524.html
void down(int u)
{
int t = u;
if (u<<1 <= n && h[u<<1] < h[t]) t = u<<1;
if ((u<<1|1) <= n && h[u<<1|1] < h[t]) t = u<<1|1;
if (u != t)
{
swap(h[u], h[t]);
down(t);
}
}
int main()
{
for (int i = 1; i <= n; i ++ ) cin >> h[i];
for (int i = n/2; i; i -- ) down(i);
while (true)
{
if (!n) break;
cout << h[1] << ' ';
h[1] = h[n];
n -- ;
down(1);
}
return 0;
}
8.基数排序
int maxbit()
{
int maxv = a[0];
for (int i = 1; i < n; i ++ )
if (maxv < a[i])
maxv = a[i];
int cnt = 1;
while (maxv >= 10) maxv /= 10, cnt ++ ;
return cnt;
}
void radixsort()
{
int t = maxbit();
int radix = 1;
for (int i = 1; i <= t; i ++ )
{
for (int j = 0; j < 10; j ++ ) count[j] = 0;
for (int j = 0; j < n; j ++ )
{
int k = (a[j] / radix) % 10;
count[k] ++ ;
}
for (int j = 1; j < 10; j ++ ) count[j] += count[j-1];
for (int j = n-1; j >= 0; j -- )
{
int k = (a[j] / radix) % 10;
temp[count[k]-1] = a[j];
count[k] -- ;
}
for (int j = 0; j < n; j ++ ) a[j] = temp[j];
radix *= 10;
}
}
9.计数排序
void counting_sort()
{
int sorted[N];
int maxv = a[0];
for (int i = 1; i < n; i ++ )
if (maxv < a[i])
maxv = a[i];
int count[maxv+1];
for (int i = 0; i < n; i ++ ) count[a[i]] ++ ;
for (int i = 1; i <= maxv; i ++ ) count[i] += count[i-1];
for (int i = n-1; i >= 0; i -- )
{
sorted[count[a[i]]-1] = a[i];
count[a[i]] -- ;
}
for (int i = 0; i < n; i ++ ) a[i] = sorted[i];
}
10.桶排序(基数排序是桶排序的特例,优势是可以处理浮点数和负数,劣势是还要配合别的排序函数)
vector<int> bucketSort(vector<int>& nums) {
int n = nums.size();
int maxv = *max_element(nums.begin(), nums.end());
int minv = *min_element(nums.begin(), nums.end());
int bs = 1000;
int m = (maxv-minv)/bs+1;
vector<vector<int> > bucket(m);
for (int i = 0; i < n; ++i) {
bucket[(nums[i]-minv)/bs].push_back(nums[i]);
}
int idx = 0;
for (int i = 0; i < m; ++i) {
int sz = bucket[i].size();
bucket[i] = quickSort(bucket[i]);
for (int j = 0; j < sz; ++j) {
nums[idx++] = bucket[i][j];
}
}
return nums;
}