文章目录
一、各种排序算法
1.java自带的排序
int[] nums = new int[]{8,4,3,7,5,6};
Arrays.sort(nums);
2.冒泡排序
public class BubbleSort {
public static void main(String[] args) {
int[] nums = {5, -1, 0, 9, -4, 5, 3};
System.out.println("排序前：" + Arrays.toString(nums));
nums = bubbleSort(nums);
System.out.println("排序后：" + Arrays.toString(nums));
}
/**
* 冒泡排序
*
* @param nums：要排序的数组
* @return 返回排序后的数组
*/
public static int[] bubbleSort(int[] nums) {
//System.out.println("排序过程：");
for (int i = 0; i < nums.length; i++) {
for (int j = 0; j < nums.length - 1 - i; j++) {
if (nums[j] > nums[j + 1]) {
//交换位置
int temp = nums[j];
nums[j] = nums[j + 1];
nums[j + 1] = temp;
}
}
}
return nums;
}
}
3.堆排序
public class HeapSort {
public static void main(String[] args) {
int[] nums = {5, -1, 0, 9, -4, 5, 3};
System.out.println("排序前：" + Arrays.toString(nums));
nums = heapSort(nums);
System.out.println("排序后：" + Arrays.toString(nums));
}
//
public static int[] heapSort(int[] nums) {
int start = (nums.length - 1) / 2;
//调整为大顶堆
for (int i = start; i >= 0; i--) {
maxHeap(nums, nums.length, i);
}
//
for (int i = nums.length - 1; i >= 0; i--) {
int temp = nums[0];
nums[0] = nums[i];
nums[i] = temp;
maxHeap(nums, i, 0);
}
return nums;
}
//转大顶堆的方法
public static void maxHeap(int[] nums, int size, int index) {
//当前节点
int self = index;
//左子节点
int left = 2 * index + 1;
//和左子节点进行对比，选出最大的节点放到自身位置
if (left < size && nums[self] < nums[left]) {
int temp = nums[self];
nums[self] = nums[left];
nums[left] = temp;
maxHeap(nums, size, left);
}
//右子节点
int right = 2 * index + 2;
//和右子节点进行对比，选出最大的节点放到自身位置
if (right < size && nums[self] < nums[right]) {
int temp = nums[self];
nums[self] = nums[right];
nums[right] = temp;
maxHeap(nums, size, right);
}
}
}
4.插入排序
public class InsertSort {
public static void main(String[] args) {
int[] nums = {5, -1, 0, 9, -4, 5, 3};
System.out.println("排序前：" + Arrays.toString(nums));
nums = insertSort(nums);
System.out.println("排序后：" + Arrays.toString(nums));
}
public static int[] insertSort(int[] nums) {
for (int i = 0; i < nums.length; i++) {
//把当前遍历的数字存起来
int temp = nums[i];
//遍历当前数字前面所有的数字
int j;
for (j = i - 1; j >= 0 && nums[j] > temp; j--) {
//把前一个数字赋给后一个数字
nums[j + 1] = nums[j];
}
//把临时变量赋给不满足条件的后一个元素
nums[j + 1] = temp;
}
return nums;
}
}
5.归并排序
public class MergeSort {
public static void main(String[] args) {
int[] nums = {5, -1, 0, 9, -4, 5, 3};
System.out.println("排序前：" + Arrays.toString(nums));
nums = mergeSort(nums, 0, nums.length - 1);
System.out.println("排序后：" + Arrays.toString(nums));
}
public static int[] mergeSort(int[] nums, int low, int high) {
int mid = (low + high) / 2;
if (low < high) {
mergeSort(nums, low, mid);
mergeSort(nums, mid + 1, high);
merge(nums, low, mid, high);
}
return nums;
}
public static void merge(int[] nums, int low, int mid, int high) {
//临时数组
int[] temp = new int[high - low + 1];
//记录左边的数组的最左位置
int i = low;
//记录右边数组的最左位置
int j = mid + 1;
//记录放入temp数组中的位置,从0开始放，每次放 就++
int index = 0;
while (i <= mid && j <= high) {
if (nums[i] < nums[j]) {
temp[index++] = nums[i++];
} else {
temp[index++] = nums[j++];
}
}
//处理多余的数组
while (i <= mid) {
temp[index++] = nums[i++];
}
while (j <= high) {
temp[index++] = nums[j++];
}
//将临时数组中的值赋给nums数组中对应位置
for (int k = 0; k < temp.length; k++) {
nums[k + low] = temp[k];
}
}
}
6.快速排序
public class QuickSort {
public static void main(String[] args) {
int[] nums = {5, -1, 0, 9, -4, 5, 3};
System.out.println("排序前：" + Arrays.toString(nums));
nums = quickSort(nums, 0, nums.length - 1);
System.out.println("排序后：" + Arrays.toString(nums));
}
/**
* @param nums 被排序的数组
* @param start 排序开始位置
* @param end 排序结束位置
* @return 返回排序后的数组
*/
public static int[] quickSort(int[] nums, int start, int end) {
if (start < end) {
//低位置
int low = start;
//高位置
int high = end;
//取开始位置元素作为标准数
int standard = nums[start];
while (low < high) {
//如果右边的数组比标准数大
while (nums[high] >= standard && low < high) {
high--;
}
//使用右边的数字替换左边的数字
nums[low] = nums[high];
//如果左边的数组比标准数小
while (nums[low] <= standard && low < high) {
low++;
}
//使用左边的数字替换右边的数字
nums[high] = nums[low];
}
//把标准数赋回给低位置或者高位置（此时低位置和高位置已经重合）
nums[low] = standard;
//处理标准数左边的数字
nums = quickSort(nums, start, low);
//处理标准数右边的数字
nums = quickSort(nums, low + 1, end);
}
return nums;
}
}
7.选择排序
public class SelectSort {
public static void main(String[] args) {
int[] nums = {5, -1, 0, 9, -4, 5, 3};
System.out.println("排序前：" + Arrays.toString(nums));
nums = selectSort(nums);
System.out.println("排序后：" + Arrays.toString(nums));
}
public static int[] selectSort(int[] nums) {
for (int i = 0; i < nums.length; i++) {
int min = nums[i];
int minIndex = i;
for (int j = i + 1; j < nums.length; j++) {
if (nums[j] < min) {
min = nums[j];
minIndex = j;
}
}
//把找到的最小值和当前i位置替换
int temp = nums[i];
nums[i] = nums[minIndex];
nums[minIndex] = temp;
}
return nums;
}
}
8.希尔排序
public class ShellSort {
public static void main(String[] args) {
int[] nums = {5, -1, 0, 9, -4, 5, 3};
System.out.println("排序前：" + Arrays.toString(nums));
nums = shellSort(nums);
System.out.println("排序后：" + Arrays.toString(nums));
}
// 升序排序
public static int[] shellSort(int[] nums) {
//遍历所有步长
for (int d = nums.length / 2; d > 0; d /= 2) {
//遍历所有元素
for (int i = 0; i < nums.length; i++) {
//遍历本组中所有元素
for (int j = i - d; j >= 0; j -= d) {
//如果当前元素大于加上步长后的那个元素
if (nums[j] > nums[j + d]) {
int temp = nums[j];
nums[j] = nums[j + d];
nums[j + d] = temp;
}
}
}
}
return nums;
}
// 降序排序
public static int[] shellSort2(int[] nums) {
//遍历所有步长
for (int d = nums.length / 2; d > 0; d /= 2) {
//遍历所有元素
for (int i = 0; i < nums.length; i++) {
//遍历本组中所有元素
for (int j = i - d; j >= 0; j -= d) {
//如果当前元素大于加上步长后的那个元素
if (nums[j] < nums[j + d]) {
int temp = nums[j];
nums[j] = nums[j + d];
nums[j + d] = temp;
}
}
}
}
return nums;
}
}
9.二叉排序树排序
public class BinarySortTree {
public Node root;
public int len;
public BinarySortTree() {
}
//返回根节点的高度
public int height() {
if (root == null) {
return -1;
} else {
return root.height();
}
}
//添加节点
public void add(Node node) {
if (root == null) {
return;
}
root.add(node);
}
//中序遍历
public void midShow() {
if (this.root == null) {
return;
}
root.midShow();
}
//中序遍历
public List<Integer> midShow2() {
if (this.root == null) {
return null;
}
List<Integer> nums = new ArrayList<>();
root.midShow2(nums);
System.out.println(nums.size() + " ---");
return nums;
}
//查找前序查找
public Node frontSearch(int value) {
if (root == null) {
return null;
}
return root.frontSearch(value);
}
//删除指定值的节点
public void remove(int value) {
if (root == null) {
return;
} else {
root.remove(value);
}
}
}
public class Node {
int value;
Node left;
Node right;
public Node(int value) {
this.value = value;
}
//返回当前节点的高度
public int height() {
return Math.max(this.left == null ? 0 : this.left.height(), this.right == null ? 0 : this.right.height()) + 1;
}
//当前节点左子树的高度
public int leftHeight() {
if (left == null) {
return 0;
} else {
return left.height();
}
}
//当前节点右子树的高度
public int rightHeight() {
if (right == null) {
return 0;
} else {
return right.height();
}
}
//中序遍历
public void midShow() {
if (this == null) {
return;
}
//左
if (this.left != null) {
this.left.midShow();
}
//自身
System.out.println(this.value);
//右
if (this.right != null) {
this.right.midShow();
}
}
//中序遍历
public void midShow2(List<Integer> nums) {
if (this == null) {
return;
}
//左
if (this.left != null) {
this.left.midShow2(nums);
}
//自身
nums.add(this.value);
//右
if (this.right != null) {
this.right.midShow2(nums);
}
}
//添加节点
public void add(Node node) {
if (this == null || node == null) {
return;
}
if (node.value < this.value) {
if (this.left == null) {
this.left = node;
} else {
this.left.add(node);
}
} else {
if (this.right == null) {
this.right = node;
} else {
this.right.add(node);
}
}
//是否要控制排序树平衡(查询平衡会增加排序的时间,但是以后的查找速度会提升)
if (true) {
if (leftHeight() - rightHeight() >= 2) {
if (left != null && left.leftHeight() < left.rightHeight()) {
//双旋转
left.leftRotate();
rightRotate();
} else {
//左子树高度与右子树高度之差大于等于2，则进行右旋转
rightRotate();
}
} else if (rightHeight() - leftHeight() >= 2) {
if (right != null && right.rightHeight() < right.leftHeight()) {
//双旋转
right.rightRotate();
leftRotate();
} else {
//左旋转
leftRotate();
}
}
}
}
//左旋转
private void leftRotate() {
//创建一个新节点，值就为当前节点的值
Node node = new Node(this.value);
//将当前节点的左节点设置为新节点的左节点
node.left = this.left;
//将新节点的右节点设置为当前节点的右节点的左节点
node.right = this.right.left;
//将当前节点的值设置为当前节点的右节点的值
this.value = this.right.value;
//将当前节点的右节点设置为当前节点右节点的右节点
this.right = this.right.right;
//将当前节点的左子树设置为新节点
this.left = node;
}
//右旋转
private void rightRotate() {
//创建一个新节点，值就为当前节点的值
Node node = new Node(this.value);
//将当前节点的右节点设置为新节点的右节点
node.right = this.right;
//将新节点的左节点设置为当前节点的左节点的右节点
node.left = this.left.right;
//将当前节点的值设置为当前节点的左节点的值
this.value = this.left.value;
//将当前节点的左节点设置为当前节点左节点的左节点
this.left = this.left.left;
//将当前节点的右子树设置为新节点
this.right = node;
}
//查找前序查找
public Node frontSearch(int value) {
if (this == null) {
return null;
}
//自身
if (this.value == value) {
return this;
}
//左
if (left != null) {
return left.frontSearch(value);
}
//右
if (right != null) {
return right.frontSearch(value);
}
return null;
}
//删除指定值的节点
public void remove(int value) {
if (this == null) {
return;
} else {
}
}
@Override
public String toString() {
return "Node{" +
"value=" + value +
'}';
}
}
BinarySortTree binarySortTree = new BinarySortTree();
binarySortTree.len = nums.length;
binarySortTree.root = new Node(nums[0]);
for (int i = 1; i < nums.length; i++) {
binarySortTree.root.add(new Node(nums[i]));
}
二、各种算法的速度对比
public class SortCompare {
public static void main(String[] args) {
//创建测试数组
int[] nums = new int[12000];
for (int i = 0; i < nums.length; i++) {
nums[i] = new Random().nextInt(100);
}
System.out.println("原始数组：" + Arrays.toString(nums));
long start = System.currentTimeMillis();
System.out.println("Arrays自带排序：");
int[] nums2 = nums.clone();
Arrays.sort(nums2);
System.out.println(Arrays.toString(nums2));
long end = System.currentTimeMillis();
System.out.println("用时：" + (end - start) / 1000.0 + "秒");
//--------------------------------------------------------------
System.out.println("冒泡排序：");
System.out.println(Arrays.toString(BubbleSort.bubbleSort(nums.clone())));
end = System.currentTimeMillis();
System.out.println("用时：" + (end - start) / 1000.0 + "秒");
//--------------------------------------------------------------
start = System.currentTimeMillis();
System.out.println("快速排序：");
System.out.println(Arrays.toString(QuickSort.quickSort(nums.clone(), 0, nums.length - 1)));
end = System.currentTimeMillis();
System.out.println("用时：" + (end - start) / 1000.0 + "秒");
//--------------------------------------------------------------
start = System.currentTimeMillis();
System.out.println("插入排序：");
System.out.println(Arrays.toString(InsertSort.insertSort(nums.clone())));
end = System.currentTimeMillis();
System.out.println("用时：" + (end - start) / 1000.0 + "秒");
//--------------------------------------------------------------
start = System.currentTimeMillis();
System.out.println("希尔排序：");
System.out.println(Arrays.toString(ShellSort.shellSort(nums.clone())));
end = System.currentTimeMillis();
System.out.println("用时：" + (end - start) / 1000.0 + "秒");
//--------------------------------------------------------------
start = System.currentTimeMillis();
System.out.println("选择排序：");
System.out.println(Arrays.toString(SelectSort.selectSort(nums.clone())));
end = System.currentTimeMillis();
System.out.println("用时：" + (end - start) / 1000.0 + "秒");
//--------------------------------------------------------------
start = System.currentTimeMillis();
System.out.println("归并排序：");
System.out.println(Arrays.toString(MergeSort.mergeSort(nums.clone(), 0, nums.length - 1)));
end = System.currentTimeMillis();
System.out.println("用时：" + (end - start) / 1000.0 + "秒");
//--------------------------------------------------------------
start = System.currentTimeMillis();
System.out.println("堆排序：");
System.out.println(Arrays.toString(HeapSort.heapSort(nums.clone())));
end = System.currentTimeMillis();
System.out.println("用时：" + (end - start) / 1000.0 + "秒");
//--------------------------------------------------------------
start = System.currentTimeMillis();
System.out.println("二叉排序树：");
BinarySortTree binarySortTree = new BinarySortTree();
binarySortTree.len = nums.length;
binarySortTree.root = new Node(nums[0]);
for (int i = 1; i < nums.length; i++) {
binarySortTree.root.add(new Node(nums[i]));
}
System.out.println((binarySortTree.midShow2()));
end = System.currentTimeMillis();
System.out.println("用时：" + (end - start) / 1000.0 + "秒");
//--------------------------------------------------------------
}
}
原始数组：[94, 57, 12, 55, 74, 47, 36, 27, 59, 84, 20, 33, 6, 73, 47, 78, 38, 27, 33, 89, 39, 65, 83, 45, 42, 80, 75, 37, 40, 95, 10, 21, 93, 27, 21, 41, 92, 82, 50, 95, 65, 66, 31, 53, 38, 70, 51, 63, 77, 63, 1, 55, 98, 61, 96, 7, 0, 91, 57, 9, 46, 1, 46, 92, 25, 23, 39, 90, 43, 33, 63, 22, 48, 92, 30, 24, 38, 35, 24, 18, 69, 70, 23, 22, 61, 77, 95, 32, 24, 9, 54, 26, 49, 78, 82, 8, 1, 87, 66, 58, 7, 45, 39, 88, 20, 18, 75, 44, 72, 27, 13, 28, 51, 58, 67, 3, 23, 85, 5, 53, 97, 74, 34, 1, 34, 25, 37, 5, 41, 40, 36, 87, 77, 7, 60, 87, 60, 18, 24, 39, 97, 27, 44, 50, 99, 89, 35, 65, 65, 96, 17, 11, 82, 20, 48, 47, 50, 35, 76, 37, 49, 82, 45, 47, 14, 97, 63, 74, 75, 99, 38, 26, 95, 87, 37, 47, 75, 8, 79, 3, 0, 15, 33, 69, 64, 86, 56, 90, 48, 78, 59, 81, 96, 99, 87, 35, 43, 66, 74, 65, 65, 34, 87, 81, 63, 67, 62, 26, 6, 69, 82, 57, 50, 15, 26, 68, 98, 75, 98, 58, 94, 75, 73, 95, 80, 61, 28, 64, 6, 23, 52, 2, 8, 51, 85, 92, 26, 62, 17, 73, 6, 15, 95, 29, 98, 58, 2, 44, 85, 89, 55, 72, 76, 85, 36, 0, 75, 79, 71, 89, 43, 43, 94, 62, 91, 90, 14, 10, 27, 37, 49, 43, 89, 98, 90, 10, 5, 81, 99, 31, 41, 82, 19, 48, 87, 78, 39, 27, 69, 32, 24, 13, 80, 47, 60, 53, 56, 16, 68, 56, 71, 2, 2, 56, 54, 97, 55, 68, 75, 35, 88, 36, 40, 84, 74, 85, 6, 43, 58, 40, 80, 74, 21, 70, 37, 47, 32, 4, 67, 46, 30, 51, 47, 79, 48, 69, 81, 7, 7, 72, 67, 49, 0, 91, 23, 39, 48, 80, 1, 51, 16, 15, 61, 5, 25, 37, 25, 92, 52, 47, 90, 75, 35, 36, 10, 88, 54, 30, 84, 78, 21, 65, 27, 51, 86, 30, 16, 66, 0, 82, 92, 93, 13, 62, 84, 15, 40, 18, 40, 44, 82, 7, 59, 48, 59, 12, 48, 83, 79, 97, 75, 18, 6, 21, 74, 82, 14, 86, 89, 25, 46, 59, 3, 39, 89, 45, 57, 76, 30, 67, 90, 25, 66, 79, 22, 3, 72, 70, 8, 21, 34, 76, 59, 94, 77, 14, 70, 63, 94, 50, 96, 88, 49, 93, 35, 38, 49, 50, 80, 27, 16, 68, 20, 96, 44, 32, 12, 49, 66, 51, 87, 77, 14, 97, 70, 59, 65, 40, 42, 46, 80, 51, 23, 19, 24, 90, 4, 88, 99, 90, 84, 53, 73, 35, 36, 52, 6, 35, 46, 60, 93, 37, 56, 66, 6, 99, 19, 82, 55, 45, 40, 77, 90, 37, 62, 4, 79, 1, 29, 88, 90, 89, 78, 13, 3, 44, 97, 39, 45, 53, 6, 1, 49, 10, 76, 22, 71, 74, 28, 81, 64, 52, 15, 43, 33, 69, 98, 64, 64, 84, 62, 7, 81, 16, 21, 54, 83, 24, 47, 31, 24, 95, 92, 29, 5, 27, 52, 58, 50, 77, 57, 30, 99, 1, 97, 10, 75, 84, 46, 79, 94, 4, 60, 90, 26, 57, 63, 66, 74, 80, 98, 82, 14, 8, 26, 20, 13, 27, 72, 88, 47, 28, 14, 25, 67, 69, 64, 92, 60, 92, 90, 33, 10, 84, 58, 76, 76, 52, 49, 85, 11, 14, 69, 35, 75, 16, 63, 49, 10, 85, 34, 86, 15, 83, 39, 70, 29, 69, 98, 41, 50, 68, 71, 12, 37, 85, 81, 91, 49, 22, 4, 67, 17, 97, 20, 77, 49, 38, 45, 6, 26, 61, 7, 76, 44, 87, 16, 90, 29, 17, 38, 15, 11, 95, 94, 23, 30, 40, 12, 34, 86, 3, 63, 94, 61, 36, 35, 22, 3, 31, 90, 18, 87, 30, 42, 93, 1, 75, 35, 25, 58, 29, 5, 29, 15, 69, 23, 27, 94, 62, 2, 33, 0, 61, 13, 7, 55, 72, 86, 41, 95, 40, 7, 2, 89, 25, 36, 78, 29, 21, 87, 3, 48, 57, 32, 58, 43, 22, 81, 69, 25, 65, 97, 23, 10, 59, 46, 24, 58, 47, 56, 97, 76, 5, 79, 39, 80, 3, 54, 18, 14, 31, 18, 66, 92, 73, 93, 36, 68, 19, 26, 61, 32, 99, 44, 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84, 23, 35, 46, 13, 18, 99, 66, 86, 75, 42, 82, 53, 15, 43, 7, 73, 29, 79, 64, 65, 50, 52, 23, 69, 32, 33, 87, 33, 17, 37, 58, 71, 93, 95, 44, 81, 97, 43, 50, 5, 69, 19, 71, 38, 57, 22, 49, 90, 56, 88, 15, 86, 50, 86, 81, 74, 32, 61, 95, 58, 16, 11, 74, 65, 77, 33, 20, 23, 77, 90, 33, 19, 34, 0, 41, 56, 34, 62, 39, 72, 56, 82, 52, 50, 18, 92, 40, 29, 87, 24, 22, 51, 37, 8, 52, 84, 93, 37, 7, 79, 87, 35, 9, 82, 16, 39, 40, 86, 56, 13, 68, 6, 87, 86, 59, 32, 92, 30, 33, 73, 63, 38, 20, 73, 83, 8, 18, 4, 25, 63, 4, 80, 11, 44, 88, 69, 99, 34, 17, 84, 99, 74, 94, 47, 73, 3, 20, 66, 11, 51, 37, 34, 80, 69, 49, 12, 78, 36, 82, 41, 80, 72, 17, 58, 11, 36, 22, 6, 19, 33, 16, 65, 37, 24, 31, 84, 39, 62, 77, 90, 71, 28, 9, 27, 30, 74, 20, 41, 50, 90, 13, 10, 28, 34, 32, 20, 82, 25, 94, 81, 48, 10, 45, 23, 9, 43, 0, 84, 27, 61, 66, 65, 46, 8, 81, 6, 47, 60, 84, 37, 55, 10, 98, 13, 97, 3, 49, 13, 45, 73, 69, 49, 41, 52, 3, 71, 92, 0, 78, 31, 69, 62, 22, 37, 80, 94, 52, 69, 12, 72, 83, 15, 47, 23, 37, 39, 7, 67, 48, 73, 79, 57, 29, 65, 26, 10, 29, 53, 41, 50, 28, 32, 26, 97, 40, 54, 30, 49, 17, 87, 65, 59, 51, 38, 86, 18, 29, 4, 16, 91, 93, 76, 72, 21, 17, 60, 46, 18, 80, 2, 5, 47, 93, 67, 61, 6, 67, 91, 46, 67, 12, 94, 86, 63, 68, 74, 37, 23, 2, 77, 60, 15, 86, 80, 38, 77, 43, 56, 98, 42, 47, 85, 93, 32, 54, 9, 50, 24, 37, 83, 28, 93, 99, 25, 93, 23, 79, 56, 1, 44, 87, 40, 70, 53, 61, 29, 7, 6, 27, 65, 45, 33, 73, 65, 71, 65, 43, 83, 59, 92, 53, 51, 93, 51, 73, 30, 89, 34, 70, 32, 21, 26, 50, 75, 76, 48, 81, 32, 50, 68, 94, 38, 2, 95, 70, 56, 64, 22, 30, 56, 97, 20, 1, 11, 10, 32, 39, 43, 25, 65, 96, 68, 17, 6, 45, 73, 67, 71, 10, 27, 78, 39, 63, 66, 36, 35, 80, 75, 5, 12, 6, 59, 35, 29, 40, 13, 15, 5, 59, 73, 77, 7, 44, 49, 6, 6, 55, 36, 54, 54, 56, 90, 54, 80, 26, 16, 3, 17, 9, 33, 23, 97, 96, 83, 72, 0, 63, 16, 14, 65, 71, 88, 29, 14, 94, 35, 97, 7, 57, 98, 13, 96, 32, 45, 12, 73, 70, 82, 70, 39, 80, 99, 52, 40, 80, 48, 17, 96, 66, 60, 15, 37, 35, 18, 6, 10, 57, 18, 56, 72, 34, 21, 69, 59, 7, 58, 93, 80, 94, 74, 64, 10, 87, 62, 24, 54, 62, 46, 40, 65, 99, 50, 33, 39, 67, 42, 99, 65, 35, 20, 83, 31, 49, 33, 92, 93, 76, 54, 29, 11, 50, 6, 17, 50, 99, 41, 8, 60, 46, 74, 98, 96, 12, 73, 7, 96, 12, 79, 94, 66, 83, 89, 21, 8, 36, 86, 33, 11, 62, 4, 65, 28, 97, 3, 9, 67, 66, 47, 78, 99, 70, 28, 46, 82, 73, 46, 48, 69, 92, 53, 37, 38, 5, 12, 88, 88, 44, 17, 47, 48, 5, 7, 48, 77, 91, 97, 22, 26, 40, 65, 81, 98, 73, 7, 75, 44, 33, 59, 95, 42, 70, 23, 85, 45, 42, 44, 60, 43, 53, 46, 34, 13, 67, 34, 58, 95, 58, 32, 21, 96, 67, 28, 17, 83, 21, 84, 6, 47, 70, 93, 85, 99, 82, 1, 40, 16, 68, 3, 0, 13, 75, 91, 81, 40, 42, 51, 60, 26, 10, 57, 11, 23, 25, 54, 41, 88, 67, 64, 67, 41, 83, 11, 31, 48, 29, 44, 0, 56, 8, 92, 31, 91, 33, 36, 20, 13, 1, 95, 13, 77, 74, 54, 49, 1, 12, 60, 96, 47, 54, 79, 85, 17, 68, 43, 55, 10, 0, 58, 60, 60, 95, 46, 10, 38, 48, 43, 95, 92, 33, 42, 85, 26, 85, 80, 96, 59, 9, 69, 71, 53, 41, 38, 16, 55, 16, 45, 48, 66, 83, 33, 59, 62, 14, 45, 71, 38, 66, 32, 13, 22, 39, 53, 22, 10, 80, 87, 76, 61, 56, 58, 88, 46, 65, 40, 91, 86, 41, 9, 66, 29, 84, 33, 59, 21, 62, 54, 27, 97, 85, 7, 43, 13, 11, 55, 93, 69, 38, 34, 28, 8, 21, 97, 57, 43, 91, 45, 3, 85, 51, 83, 38, 66, 96, 58, 92, 18, 91, 83, 12, 70, 71, 83, 63, 81, 93, 24, 18, 47, 53, 79, 76, 54, 51, 89, 18, 54, 90, 12, 44, 8, 51, 2, 5, 8, 46, 86, 1, 32, 64, 36, 41, 69, 23, 51, 99, 85, 54, 57, 1, 30, 56, 28, 37, 48, 56, 11, 12, 42, 15, 64, 4, 96, 36, 84, 34, 97, 8, 33, 58, 20, 32, 61, 31, 97, 60, 7, 76, 95, 43, 87, 32, 40, 27, 3, 60, 87, 48, 15, 28, 77, 71, 28, 77, 24, 80, 55, 67, 11, 5, 77, 90, 82, 22, 55, 47, 43, 88, 88, 46, 34, 95, 21, 10, 68, 43, 74, 85, 53, 40, 18, 97, 36, 86, 25, 69, 51, 67, 95, 94, 40, 37, 32, 16, 94, 56, 43, 35, 48, 35, 79, 56, 6, 6, 91, 17, 9, 96, 8, 86, 9, 11, 13, 55, 1, 67, 9, 10, 78, 57, 56, 4, 10, 56, 10, 39, 2, 80, 69, 36, 62, 53, 46, 29, 54, 80, 10, 26, 13, 2, 15, 80, 25, 0, 81, 95, 75, 21, 29, 9, 84, 91, 96, 55, 85, 2, 24, 17, 23, 10, 50, 37, 19, 12, 49, 4, 52, 45, 66, 46, 74, 64, 38, 80, 60, 72, 24, 62, 41, 61, 26, 44, 77, 91, 84, 74, 51, 97, 87, 98, 16, 95, 45, 1, 29, 66, 33, 50, 8, 34, 37, 21, 71, 6, 97, 91, 93, 82, 57, 55, 81, 79, 30, 23, 30, 43, 42, 13, 17, 94, 94, 99, 48, 85, 87, 53, 14, 53, 62, 98, 50, 16, 15, 91, 13, 64, 4, 45, 20, 6, 13, 54, 94, 49, 95, 95, 94, 91, 72, 26, 41, 37, 88, 84, 96, 11, 54, 75, 81, 55, 98, 25, 85, 29, 29, 4, 34, 10, 31, 95, 69, 38, 30, 38, 92, 47, 68, 51, 62, 72, 90, 38, 58, 13, 74, 8, 88, 6, 14, 15, 92, 19, 37, 94, 45, 30, 3, 68, 78, 27, 99, 91, 31, 50, 44, 17, 76, 9, 37, 30, 82, 96, 41, 17, 32, 31, 68, 71, 33, 7, 46, 12, 92, 30, 81, 22, 19, 28, 68, 20, 7, 90, 86, 24, 70, 17, 0, 66, 91, 28, 30, 76, 28, 35, 8, 57, 13, 53, 36, 28, 42, 0, 22, 80, 99, 20, 6, 82, 10, 66, 58, 23, 1, 65, 88, 14, 9, 68, 18, 75, 77]
Arrays自带排序：用时：0.01秒
冒泡排序：用时：0.327秒
快速排序：用时：0.007秒
插入排序：用时：0.024秒
希尔排序：用时：0.159秒
选择排序：用时：0.063秒
归并排序：用时：0.005秒
堆排序：用时：0.043秒
二叉排序树排序：用时：1.354秒
三、总结
1、 java自带的数组排序接口速度已经足够快了
2、总体而言，归并排序和快速排序的速度最快，但当数组长度过大的时候容易发生栈溢出
3、 二叉排序树速度最慢，但是其适用于长度可变的排序场景（类似于优先队列）
