本文提供一個泛型工具類 Sort,封裝了插入排序、希爾排序、堆排序、歸併排序、快速排序五種常見算法,支援任意實現 Comparable 接口的類型,便於直接復用。
public class Sort {
// ========== 插入排序 ==========
public static <AnyType extends Comparable<? super AnyType>> void insertionSort(AnyType[] a) {
insertionSort(a, 0, a.length - 1);
}
private static <AnyType extends Comparable<? super AnyType>> void insertionSort(AnyType[] a, int left, int right) {
for (int p = left; p <= right; p++) {
AnyType tmp = a[p];
int j = p;
for (; j > left && tmp.compareTo(a[j - 1]) < 0; j--) {
a[j] = a[j - 1];
}
a[j] = tmp;
}
}
// ========== 希爾排序 ==========
public static <AnyType extends Comparable<? super AnyType>> void shellSort(AnyType[] arr) {
for (int gap = arr.length / 2; gap > 0; gap /= 2) {
for (int i = gap; i < arr.length; i++) {
AnyType tmp = arr[i];
int j = i;
for (; j >= gap && tmp.compareTo(arr[j - gap]) < 0; j -= gap) {
arr[j] = arr[j - gap];
}
arr[j] = tmp;
}
}
}
// ========== 堆排序 ==========
private static int leftChild(int i) { return i * 2 + 1; }
private static <AnyType extends Comparable<? super AnyType>> void perculateDown(AnyType[] arr, int i, int size) {
AnyType tmp = arr[i];
for (int child; (child = leftChild(i)) < size; i = child) {
if (child != size - 1 && arr[child].compareTo(arr[child + 1]) < 0) child++;
if (tmp.compareTo(arr[child]) < 0) arr[i] = arr[child];
else break;
}
arr[i] = tmp;
}
public static <AnyType extends Comparable<? super AnyType>> void heapSort(AnyType[] arr) {
for (int i = arr.length / 2; i >= 0; i--) perculateDown(arr, i, arr.length);
for (int i = arr.length - 1; i >= 0; i--) {
swapReferences(arr, 0, i);
perculateDown(arr, 0, i);
}
}
// ========== 歸併排序 ==========
public static <AnyType extends Comparable<? super AnyType>> void mergeSort(AnyType[] arr) {
AnyType[] tmp = (AnyType[]) new Comparable[arr.length];
mergeSort(arr, 0, arr.length - 1, tmp);
}
private static <AnyType extends Comparable<? super AnyType>> void mergeSort(AnyType[] arr, int start, int end, AnyType[] tmp) {
if (start < end) {
int mid = (start + end) >> 1;
mergeSort(arr, start, mid, tmp);
mergeSort(arr, mid + 1, end, tmp);
merge(arr, start, mid, end, tmp);
}
}
private static <AnyType extends Comparable<? super AnyType>> void merge(AnyType[] arr, int start, int mid, int end, AnyType[] tmp) {
int i = start, j = mid + 1, k = start;
while (i <= mid && j <= end) {
tmp[k++] = arr[i].compareTo(arr[j]) < 0 ? arr[i++] : arr[j++];
}
while (i <= mid) tmp[k++] = arr[i++];
while (j <= end) tmp[k++] = arr[j++];
for (int m = start; m <= end; m++) arr[m] = tmp[m];
}
// ========== 快速排序 ==========
private static final int LENGTH_DIFF = 20;
public static <AnyType extends Comparable<? super AnyType>> void quickSort(AnyType[] arr) {
quickSort(arr, 0, arr.length - 1);
}
private static <AnyType extends Comparable<? super AnyType>> void quickSort(AnyType[] arr, int left, int right) {
if (left + LENGTH_DIFF <= right) {
AnyType pivot = median(arr, left, right);
int i = left, j = right;
while (true) {
while (arr[++i].compareTo(pivot) < 0);
while (arr[--j].compareTo(pivot) > 0);
if (i < j) swapReferences(arr, i, j);
else break;
}
swapReferences(arr, i, right);
quickSort(arr, left, i - 1);
quickSort(arr, i + 1, right);
} else {
insertionSort(arr, left, right);
}
}
private static <AnyType extends Comparable<? super AnyType>> AnyType median(AnyType[] arr, int left, int right) {
int center = (left + right) / 2;
if (arr[center].compareTo(arr[left]) < 0) swapReferences(arr, center, left);
if (arr[left].compareTo(arr[right]) > 0) swapReferences(arr, left, right);
if (arr[center].compareTo(arr[right]) < 0) swapReferences(arr, center, right);
return arr[right];
}
private static <AnyType extends Comparable<? super AnyType>> void swapReferences(AnyType[] arr, int i, int j) {
AnyType tmp = arr[i]; arr[i] = arr[j]; arr[j] = tmp;
}
}
Integer[] data = {5, 2, 9, 1, 5, 6};
Sort.quickSort(data); // 快速排序
Sort.mergeSort(data); // 歸併排序
Sort.heapSort(data); // 堆排序
Sort.shellSort(data); // 希爾排序
Sort.insertionSort(data); // 插入排序
| 算法 | 平均時間複雜度 | 最壞情況 | 空間複雜度 | 穩定性 |
|---|---|---|---|---|
| 插入排序 | O(n²) | O(n²) | O(1) | 穩定 |
| 希爾排序 | O(n^1.3~n^1.5) | O(n²) | O(1) | 不穩定 |
| 堆排序 | O(n log n) | O(n log n) | O(1) | 不穩定 |
| 歸併排序 | O(n log n) | O(n log n) | O(n) | 穩定 |
| 快速排序 | O(n log n) | O(n²) | O(log n) | 不穩定 |
此工具類採用泛型與模板方法模式,代碼復用性強,適合作為項目通用排序組件或算法學習參考。