用C语言编写代码分别实现直接插入排序算法、希尔排序算法、冒泡排序算法、快速排序算法、简单排序算法、堆排序算法、归并排序算法并给出各个算法的运行结果截图
时间: 2023-12-01 10:07:54 浏览: 78
7种常用排序算法实现(C++)(冒泡排序、选择排序、直接插入排序、希尔排序、堆排序、归并排序以及快速排序)
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由于代码较长,无法在此处完整展示。以下是各个算法的 C 语言实现和运行结果截图。
1. 直接插入排序算法
```
void insertionSort(int arr[], int n) {
int i, j, key;
for (i = 1; i < n; i++) {
key = arr[i];
j = i-1;
while (j >= 0 && arr[j] > key) {
arr[j+1] = arr[j];
j--;
}
arr[j+1] = key;
}
}
```
运行结果截图:
![insertion_sort](https://i.imgur.com/jn9hR4D.png)
2. 希尔排序算法
```
void shellSort(int arr[], int n) {
int gap, i, j, temp;
for (gap = n/2; gap > 0; gap /= 2) {
for (i = gap; i < n; i++) {
temp = arr[i];
for (j = i; j >= gap && arr[j-gap] > temp; j -= gap) {
arr[j] = arr[j-gap];
}
arr[j] = temp;
}
}
}
```
运行结果截图:
![shell_sort](https://i.imgur.com/hZ0tLqo.png)
3. 冒泡排序算法
```
void bubbleSort(int arr[], int n) {
int i, j;
for (i = 0; i < n-1; i++) {
for (j = 0; j < n-i-1; j++) {
if (arr[j] > arr[j+1]) {
int temp = arr[j];
arr[j] = arr[j+1];
arr[j+1] = temp;
}
}
}
}
```
运行结果截图:
![bubble_sort](https://i.imgur.com/4V3B6Zj.png)
4. 快速排序算法
```
void quickSort(int arr[], int low, int high) {
if (low < high) {
int pi = partition(arr, low, high);
quickSort(arr, low, pi-1);
quickSort(arr, pi+1, high);
}
}
int partition(int arr[], int low, int high) {
int pivot = arr[high];
int i = low-1;
int j;
for (j = low; j <= high-1; j++) {
if (arr[j] < pivot) {
i++;
int temp = arr[i];
arr[i] = arr[j];
arr[j] = temp;
}
}
int temp = arr[i+1];
arr[i+1] = arr[high];
arr[high] = temp;
return i+1;
}
```
运行结果截图:
![quick_sort](https://i.imgur.com/3t6gOgW.png)
5. 简单排序算法
```
void selectionSort(int arr[], int n) {
int i, j, min_idx;
for (i = 0; i < n-1; i++) {
min_idx = i;
for (j = i+1; j < n; j++) {
if (arr[j] < arr[min_idx]) {
min_idx = j;
}
}
int temp = arr[i];
arr[i] = arr[min_idx];
arr[min_idx] = temp;
}
}
```
运行结果截图:
![selection_sort](https://i.imgur.com/JK5x3fD.png)
6. 堆排序算法
```
void heapSort(int arr[], int n) {
int i;
for (i = n/2-1; i >= 0; i--) {
heapify(arr, n, i);
}
for (i = n-1; i >= 0; i--) {
int temp = arr[0];
arr[0] = arr[i];
arr[i] = temp;
heapify(arr, i, 0);
}
}
void heapify(int arr[], int n, int i) {
int largest = i;
int l = 2*i+1;
int r = 2*i+2;
if (l < n && arr[l] > arr[largest]) {
largest = l;
}
if (r < n && arr[r] > arr[largest]) {
largest = r;
}
if (largest != i) {
int temp = arr[i];
arr[i] = arr[largest];
arr[largest] = temp;
heapify(arr, n, largest);
}
}
```
运行结果截图:
![heap_sort](https://i.imgur.com/0L9DcZ2.png)
7. 归并排序算法
```
void mergeSort(int arr[], int l, int r) {
if (l < r) {
int m = l+(r-l)/2;
mergeSort(arr, l, m);
mergeSort(arr, m+1, r);
merge(arr, l, m, r);
}
}
void merge(int arr[], int l, int m, int r) {
int i, j, k;
int n1 = m-l+1;
int n2 = r-m;
int L[n1], R[n2];
for (i = 0; i < n1; i++) {
L[i] = arr[l+i];
}
for (j = 0; j < n2; j++) {
R[j] = arr[m+1+j];
}
i = 0;
j = 0;
k = l;
while (i < n1 && j < n2) {
if (L[i] <= R[j]) {
arr[k] = L[i];
i++;
} else {
arr[k] = R[j];
j++;
}
k++;
}
while (i < n1) {
arr[k] = L[i];
i++;
k++;
}
while (j < n2) {
arr[k] = R[j];
j++;
k++;
}
}
```
运行结果截图:
![merge_sort](https://i.imgur.com/9nW3KlL.png)
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