将每个元素两两合并,进行内部排序,逐渐合并成一个集合,达到有序
package com.zsl.datastructalgorithm.date20220628;
import java.util.Arrays;
/**
* 归并排序
* 采用分治思想,逐渐有序
*
* @author zsl
* @date 2022/6/28 21:43
* @email 249269610@qq.com
*/
public class MergeSort {
public static void main(String[] args) {
int[] elements = new int[]{132, 45, 345, 65, 77, 876, 23, 645, 66, 58};
int[] ints1 = {5, 6};
int[] ints2 = {6, 5};
sort(elements);
sort(ints1);
sort(ints2);
System.out.println(Arrays.toString(ints1));
System.out.println(Arrays.toString(ints2));
System.out.println(Arrays.toString(elements));
}
public static void sort(int[] elements) {
if (elements.length < 2) return ;
mergeSort(elements, 0, elements.length - 1);
}
/**
* 归并逻辑
*
* @param elements 元素数组
* @param start 起始索引
* @param end 结束索引
*/
private static void mergeSort(int[] elements, int start, int end) {
int size = end - start;
if (size <= 0) return ;
int half = (start + end) / 2;
// 分治
mergeSort(elements, start, half);
mergeSort(elements, half + 1, end);
int[] tmp = new int[size + 1];
int leftIndex = start;
int rightIndex = half + 1;
int leftLen = half - start + 1;
int rightLen = end - half;
// 比较并插入排序
for (int i = 0; i < size + 1; i++) {
if (leftIndex - half == 1) {
tmp[i] = elements[rightIndex++];
continue;
}
if (rightIndex - end == 1) {
tmp[i] = elements[leftIndex++];
continue;
}
if (elements[leftIndex] < elements[rightIndex]) {
tmp[i] = elements[leftIndex++];
} else {
tmp[i] = elements[rightIndex++];
}
}
// 写回原数组
System.arraycopy(tmp, 0, elements, start, rightLen + leftLen);
}
}
将一个集合分成整体有序但两个无序集合,再对无序集合进行排序成两个集合,从而达成有序集合
package com.zsl.datastructalgorithm.date20220628;
import java.util.Arrays;
/**
* 快速排序
* 采用分治思想,逐渐有序
*
* @author zsl
* @date 2022/6/28 21:02
* @email 249269610@qq.com
*/
public class QuickSort {
public static void main(String[] args) {
int[] elements = new int[]{132, 45, 345, 65, 77, 876, 23, 645, 66, 58};
sort(elements);
int[] ints1 = {5, 6};
int[] ints2 = {6, 5};
sort(ints1);
sort(ints2);
System.out.println(Arrays.toString(elements));
}
public static void sort(int[] elements) {
if (elements.length < 2) {
return;
}
quickSort(elements, 0, elements.length - 1);
}
/**
* 递归执行
* @param elements 元素数组
* @param start 起始索引
* @param end 结束索引
*/
public static void quickSort(int[] elements, int start, int end) {
if (end - start <= 0) return;
// 排序
int left = start;
int right = start;
// 将最后一位当中心值
int pivot = elements[end];
int cnt = end - start;
for (int i = 0; i < cnt; i++) {
if (elements[right] <= pivot) {
swap(elements, left, right);
++left;
++right;
} else {
++right;
}
}
// 将轴移动到中心
int tmp = elements[left];
elements[left] = elements[right];
elements[right] = tmp;
// 左侧集合
quickSort(elements, start, left - 1);
// 右侧集合
quickSort(elements, left + 1, end);
}
/**
* 交换指定索引元素
* @param elements 待交换数组
* @param left
* @param right
*/
private static void swap(int[] elements, int left, int right) {
if (left == right) return;
int tmp = elements[left];
elements[left] = elements[right];
elements[right] = tmp;
}
}
都是采用分治的思想,归并是自底向上逐渐有序,快排是自顶向下逐渐有序