歸併排序遞歸版
package sort;
public class MergeSortRecursively {
public static void mergeSort(int[] array) {
if (array == null || array.length <= 1)
return;
sort(array, 0, array.length - 1);
}
private static void sort(int[] array, int left, int right) {
if (left >= right)
return;
int middle = left + (right - left) / 2;
sort(array, left, middle);
sort(array, middle + 1, right);
merge(array, left, middle, right);
}
private static void merge(int[] array, int left, int middle, int right) {
int length = array.length;
int[] temp = new int[length]; // temp數組用於暫存合併的結果
for (int i = 0; i < length; i++)
temp[i] = array[i];
int index = left, leftIndex = left, rightIndex = middle + 1;
// 將記錄由小到大地放進temp數組
while (leftIndex <= middle && rightIndex <= right) {
if (array[leftIndex] <= array[rightIndex])
temp[index++] = array[leftIndex++];
else
temp[index++] = array[rightIndex++];
}
// 接下來兩個while循環是爲了將剩餘的元素放到temp數組中
while (leftIndex <= middle)
temp[index++] = array[leftIndex++];
while (rightIndex < right)
temp[index++] = array[rightIndex++];
// 將temp數組中的元素寫入到待排數組中
for (int i = 0; i < length; i++)
array[i] = temp[i];
}
}
歸併排序迭代版
package sort;
public class MergeSortIteratively {
public static void mergeSort(int[] array) {
if (array == null || array.length <= 1)
return;
sort(array);
}
private static void sort(int[] array) {
int length = array.length;
int k = 1;
while (k < length) {
helper(array, k, length);
k *= 2;
}
}
// 將數組中的相鄰的有k個元素的序列進行歸併
private static void helper(int[] array, int k, int length) {
int i = 0;
// 從前往後,將2個長度爲k的子序列合併爲1個
while (i < length - 2 * k + 1) {
merge(array, i, i + k - 1, i + 2 * k - 1);
i += 2 * k;
}
// 這段代碼保證了,將那些“落單的”長度不足兩兩merge的部分和前面merge起來。
if (i < length - k)
merge(array, i, i + k - 1, length - 1);
}
private static void merge(int[] array, int left, int middle, int right) {
int length = array.length;
int[] temp = new int[length]; // temp數組用於暫存合併的結果
for (int i = 0; i < length; i++)
temp[i] = array[i];
int index = left, leftIndex = left, rightIndex = middle + 1;
// 將記錄由小到大地放進temp數組
while (leftIndex <= middle && rightIndex <= right) {
if (array[leftIndex] <= array[rightIndex])
temp[index++] = array[leftIndex++];
else
temp[index++] = array[rightIndex++];
}
// 接下來兩個while循環是爲了將剩餘的元素放到temp數組中
while (leftIndex <= middle)
temp[index++] = array[leftIndex++];
while (rightIndex < right)
temp[index++] = array[rightIndex++];
// 將temp數組中的元素寫入到待排數組中
for (int i = 0; i < length; i++)
array[i] = temp[i];
}
}
快速排序
package sort;
public class QuickSort {
public static void quickSort(int[] array) {
if (array == null || array.length <= 1)
return;
sort(array, 0, array.length - 1);
}
public static void sort(int[] array, int left, int right) {
if (right - left <= 0)
return;
int index = partition(array, left, right);
sort(array, left, index - 1);
sort(array, index + 1, right);
}
public static int partition(int[] array, int left, int right) {
// 選擇第一個值作爲基準
int pivot = array[left];
while (left < right) {
while (left < right && array[right] >= pivot)
right--;
if (left < right)
array[left] = array[right];
while (left < right && array[left] < pivot)
left++;
if (left < right)
array[right] = array[left];
}
array[left] = pivot;
return left;
}
}
堆排序
package sort;
/**
* 通常堆是通過一維數組來實現的,在數組起始位置爲 0 的情形中:
* 父節點 i 的左子節點在位置 (2 * i + 1);
* 父節點 i 的右子節點在位置 (2 * i + 2);
* 子節點 i 的父節點在位置 floor((i − 1) / 2);
*/
public class HeapSort {
public static void heapSort(int[] array) {
if (array == null || array.length <= 1)
return;
sort(array);
}
private static void sort(int[] array) {
for (int i = array.length / 2; i >= 0; i--)
maxHeapify(array, i, array.length);
// 將每個最大值的根節點與末尾元素交換,並且再調整二叉樹,使其成爲最大堆
for (int i = array.length - 1; i > 0; i--) {
swap(array, 0, i); // 將堆頂記錄和當前未經排序子序列的最後一個記錄交換
maxHeapify(array, 0, i); // 交換之後,需要重新檢查堆是否符合最大堆,不符合則要調整
}
}
private static void maxHeapify(int[] array, int index, int length) {
int father, child;
for (father = array[index]; leftChild(index) < length; index = child) {
child = leftChild(index);
// 如果左子樹小於右子樹,則需要比較右子樹和父節點
if (child != length - 1 && array[child] < array[child + 1])
child++; // 序號加1,指向右子樹
// 如果父節點小於子結點,則需要交換
if (father < array[child])
array[index] = array[child];
else
break; // 最大堆結構未被破壞,不需要調整
}
array[index] = father;
}
// 獲取到左子結點
private static int leftChild(int i) {
return 2 * i + 1;
}
private static void swap(int[] array, int i, int j) {
int temp = array[i];
array[i] = array[j];
array[j] = temp;
}
}
測試用例
package sort;
import java.util.Arrays;
import java.util.Random;
public class Main {
public static void main(String[] args) {
int[] a1 = new Random().ints(10, 1, 100).toArray();
QuickSort.quickSort(a1);
System.out.println(Arrays.toString(a1));
int[] a2 = new Random().ints(10, 1, 100).toArray();
MergeSortIteratively.mergeSort(a2);
System.out.println(Arrays.toString(a2));
int[] a3 = new Random().ints(10, 1, 100).toArray();
MergeSortRecursively.mergeSort(a3);
System.out.println(Arrays.toString(a3));
int[] a4 = new Random().ints(10, 1, 100).toArray();
HeapSort.heapSort(a4);
System.out.println(Arrays.toString(a4));
}
}