使用Java编写数据排序的10个函数
1. 冒泡排序(Bubble Sort):通过相邻元素的比较和交换来将最大的元素逐步移动到末尾,直至整个数组有序。
public static void bubbleSort(int[] arr) {
int n = arr.length;
for (int i = 0; i < n-1; i++) {
for (int 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;
}
}
}
}
2. 选择排序(Selection Sort):每次循环找到数组中最小的元素,将其和当前位置交换。
public static void selectionSort(int[] arr) {
int n = arr.length;
for (int i = 0; i < n-1; i++) {
int minIndex = i;
for (int j = i+1; j < n; j++) {
if (arr[j] < arr[minIndex]) {
minIndex = j;
}
}
int temp = arr[minIndex];
arr[minIndex] = arr[i];
arr[i] = temp;
}
}
3. 插入排序(Insertion Sort):将数组分为已排序和未排序两部分,依次将未排序的元素插入到已排序的部分。
public static void insertionSort(int[] arr) {
int n = arr.length;
for (int i = 1; i < n; i++) {
int key = arr[i];
int j = i - 1;
while (j >= 0 && arr[j] > key) {
arr[j+1] = arr[j];
j--;
}
arr[j+1] = key;
}
}
4. 快速排序(Quick Sort):选择一个基准元素,将数组分为比基准元素小和大的两部分,递归地对这两部分进行排序。
public static 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);
}
}
public static int partition(int[] arr, int low, int high) {
int pivot = arr[high];
int i = low - 1;
for (int j = low; j < high; 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;
}
5. 归并排序(Merge Sort):将数组分为两半,分别对两半进行归并排序,然后将两个有序的部分归并成一个新的有序数组。
public static void mergeSort(int[] arr, int l, int r) {
if (l < r) {
int m = (l+r) / 2;
mergeSort(arr, l, m);
mergeSort(arr, m+1, r);
merge(arr, l, m, r);
}
}
public static void merge(int[] arr, int l, int m, int r) {
int n1 = m - l + 1;
int n2 = r - m;
int[] left = new int[n1];
int[] right = new int[n2];
for (int i = 0; i < n1; i++) {
left[i] = arr[l+i];
}
for (int j = 0; j < n2; j++) {
right[j] = arr[m+1+j];
}
int i = 0, j = 0, k = l;
while (i < n1 && j < n2) {
if (left[i] <= right[j]) {
arr[k] = left[i];
i++;
} else {
arr[k] = right[j];
j++;
}
k++;
}
while (i < n1) {
arr[k] = left[i];
i++;
k++;
}
while (j < n2) {
arr[k] = right[j];
j++;
k++;
}
}
6. 希尔排序(Shell Sort):根据步长将数组分组,对每组进行插入排序,然后逐渐减小步长并重复这个过程。
public static void shellSort(int[] arr) {
int n = arr.length;
for (int gap = n/2; gap > 0; gap /= 2) {
for (int i = gap; i < n; i++) {
int key = arr[i];
int j = i;
while (j >= gap && arr[j-gap] > key) {
arr[j] = arr[j-gap];
j -= gap;
}
arr[j] = key;
}
}
}
7. 堆排序(Heap Sort):构建最大堆,然后将根节点与最后一个节点交换,重新调整最大堆,再重复这个过程。
public static void heapSort(int[] arr) {
int n = arr.length;
for (int i = n/2-1; i >= 0; i--) {
heapify(arr, n, i);
}
for (int i = n-1; i >= 0; i--) {
int temp = arr[0];
arr[0] = arr[i];
arr[i] = temp;
heapify(arr, i, 0);
}
}
public static void heapify(int[] arr, int n, int i) {
int largest = i;
int left = 2 * i + 1;
int right = 2 * i + 2;
if (left < n && arr[left] > arr[largest]) {
largest = left;
}
if (right < n && arr[right] > arr[largest]) {
largest = right;
}
if (largest != i) {
int temp = arr[i];
arr[i] = arr[largest];
arr[largest] = temp;
heapify(arr, n, largest);
}
}
8. 计数排序(Counting Sort):统计数组中每个元素出现的次数,然后根据统计结果将元素放回数组。
public static void countingSort(int[] arr) {
int n = arr.length;
int max = Arrays.stream(arr).max().getAsInt();
int min = Arrays.stream(arr).min().getAsInt();
int range = max - min + 1;
int[] count = new int[range];
int[] output = new int[n];
for (int i = 0; i < n; i++) {
count[arr[i]-min]++;
}
for (int i = 1; i < range; i++) {
count[i] += count[i-1];
}
for (int i = n-1; i >= 0; i--) {
output[count[arr[i]-min]-1] = arr[i];
count[arr[i]-min]--;
}
for (int i = 0; i < n; i++) {
arr[i] = output[i];
}
}
9. 桶排序(Bucket Sort):将元素分配到不同的桶中,对每个桶进行排序,然后合并所有的桶。
`java
public static void bucketSort(int[] arr) {
int n = arr.length;
int max = Arrays.stream(arr).max().getAsInt();
int min = Arrays.stream(arr).min().getAsInt();
int range = max - min + 1;
int bucketSize = Math.max(1, range/n);
int bucketCount = range / bucketSize + 1;
List<List<Integer>> buckets = new ArrayList<>(bucketCount);
for (int i = 0; i < bucketCount; i++) {
buckets.add(new ArrayList<>());
}
for (int i = 0; i < n; i++) {
int bucketIndex = (arr[i] - min) / bucketSize;
buckets.get(bucketIndex).add(arr[i]);
}
int k = 0;
for (int i = 0; i < bucketCount; i++) {
List<Integer> bucket = buckets.get(i);
Collections.sort(bucket);
for (int num: bucket) {
arr
