其他分享
首页 > 其他分享> > 十大排序（顺序不分优劣）

十大排序（顺序不分优劣）

作者：互联网

一、 折半插入

public class BinaryInsertSort {
	public static void binaryInsertSort(int[] data) {
		System.out.println("开始排序");
		int arrayLength = data.length;
		for (int i = 1; i < arrayLength; i++) {
			int temp = data[i];
			int low = 0;
			int high = i - 1;
			while (low <= high) {
				int mid = (low + high) / 2;
				if (temp > data[mid]) {
					low = mid + 1;
				} else {
					high = mid - 1;
				}
			}
			for (int j = i; j > low; j--) {
				data[j] = data[j - 1];
			}
			data[low] = temp;
			System.out.println(java.util.Arrays.toString(data));
		}

	}

	public static void main(String[] args) {
		int[] data = { 9, -16, 21, 23, -30, -49, 21, 30, 30 };
		System.out.println("排序之前：\n" + java.util.Arrays.toString(data));
		binaryInsertSort(data);
		System.out.println("排序之后：\n" + java.util.Arrays.toString(data));
	}
}

二、冒泡排序

public class BubbleSort {

	public static void main(String[] args) {
		// TODO Auto-generated method stub
		int[] arr = new int[]{35,6,7,-64,-58,-64,7,50};
		
		for(int i = 0;i < arr.length;i++){
			System.out.print(arr[i] + " ");
		}
		System.out.println();
		
		//冒泡排序
		for(int i = 0;i < arr.length-1;i++){
			for(int j = 0;j < arr.length-1-i;j++){
				if(arr[j] > arr[j+1]){
					int temp = arr[j];
					arr[j] = arr[j+1];
					arr[j+1] = temp;
				}
			}
		}
		System.out.print("冒泡排序：");
		for(int i = 0;i < arr.length;i++){
			System.out.print(arr[i] + " " );
		}
		System.out.println();
		
	}

}

三、桶式排序

public class BucketSort {
	public static void bucketSort(int[] data, int min, int max) {
		System.out.println("开始排序");
		int arrayLength = data.length;
		int[] temp = new int[arrayLength];
		int[] buckets = new int[max - min];
		for (int i = 0; i < arrayLength; i++) {
			buckets[data[i] - min]++;
		}
		System.out.println(Arrays.toString(buckets));
		for (int i = 1; i < max - min; i++) {
			buckets[i] = buckets[i] + buckets[i - 1];
		}
		System.out.println(Arrays.toString(buckets));
		System.arraycopy(data, 0, temp, 0, arrayLength);
		for (int k = arrayLength - 1; k >= 0; k--) {
			data[--buckets[temp[k] - min]] = temp[k];
		}
	}

	public static void main(String[] args) {
		int[] data = { 9, 5, -1, 8, 5, 7, 3, -3, 1, 3 };
		System.out.println("排序之前：\n" + java.util.Arrays.toString(data));
		bucketSort(data, -3, 10);
		System.out.println("排序之后：\n" + java.util.Arrays.toString(data));
	}
}

四、堆排序

public class HeapSort {
	public static void heapSort(int[] data) {
		System.out.println("开始排序");
		int arrayLength = data.length;
		// 循环建堆
		for (int i = 0; i < arrayLength - 1; i++) {
			// 建堆
			buildMaxdHeap(data, arrayLength - 1 - i);
			// 交换堆顶和最后一个元素
			swap(data, 0, arrayLength - 1 - i);
			System.out.println(java.util.Arrays.toString(data));
		}
	}

	// 对data数组从0到lastIndex建大顶堆
	private static void buildMaxdHeap(int[] data, int lastIndex) {
		// 从lastIndex处节点（最后一个节点）的父节点开始
		for (int i = (lastIndex - 1) / 2; i >= 0; i--) {
			// k保存当前正在判断的节点
			int k = i;
			// 如果当前k节点的子节点存在
			while (k * 2 + 1 <= lastIndex) {
				// k节点的左子节点的索引
				int biggerIndex = 2 * k + 1;
				// 如果biggerIndex小于lastIndex，即biggerIndex +1
				// 代表k节点的右子节点存在
				if (biggerIndex < lastIndex) {
					// 如果右子节点的值较大
					if (data[biggerIndex] - data[biggerIndex + 1] < 0) {
						// biggerIndex总是记录较大子节点的索引
						biggerIndex++;
					}
				}
				// 如果k节点的值小于其较大子节点的值
				if (data[k] - data[biggerIndex] < 0) {
					// 交换它们
					swap(data, k, biggerIndex);
					// 将biggerIndex赋给k，开始while循环的下一次循环
					// 重新保证k节点的值大于其左、右节点的值
					k = biggerIndex;
				} else {
					break;
				}
			}
		}
	}

	// 交换data数组中i、j两个索引处的元素
	private static void swap(int[] data, int i, int j) {
		int temp = data[i];
		data[i] = data[j];
		data[j] = temp;
	}

	public static void main(String[] args) {
		int[] data = { 9, -16, 21, 23, -30, -49, 21, 30, 30 };
		System.out.println("排序之前：\n" + java.util.Arrays.toString(data));
		heapSort(data);
		System.out.println("排序之后：\n" + java.util.Arrays.toString(data));
	}
}

五、直接插入排序

public class InsertSort {
	public static void insertSort(int[] data) {
		System.out.println("开始排序");
		int arrayLength = data.length;
		for (int i = 1; i < arrayLength; i++) {
			int temp = data[i];
			if (data[i] - data[i - 1] < 0) {
				int j = i - 1;
				for (; j >= 0 && data[j] - temp > 0; j--) {
					data[j + 1] = data[j];
				}
				data[j + 1] = temp;
			}
			System.out.println(java.util.Arrays.toString(data));
		}

	}

	public static void main(String[] args) {
		int[] data = { 9, -16, 21, 23, -30, -49, 21, 30, 30 };
		System.out.println("排序之前：\n" + java.util.Arrays.toString(data));
		insertSort(data);
		System.out.println("排序之后：\n" + java.util.Arrays.toString(data));
	}
}

六、归并排序

public class MergeSort {
	public static void mergeSort(int[] data) {
		// 归并排序
		sort(data, 0, data.length - 1);
	}

	// 将索引从left到right范围的数组元素进行归并排序
	private static void sort(int[] data, int left, int right) {
		if(left < right){
			//找出中间索引
			int center = (left + right)/2;
			sort(data,left,center);
			sort(data,center+1,right);
			//合并
			merge(data,left,center,right);
		}
	}

	// 将两个数组进行归并，归并前两个数组已经有序，归并后依然有序
	private static void merge(int[] data, int left, int center, int right) {
		int[] tempArr = new int[data.length];
		int mid = center + 1;
		int third = left;
		int temp = left;
		while (left <= center && mid <= right) {
			if (data[left] - data[mid] <= 0) {
				tempArr[third++] = data[left++];
			} else {
				tempArr[third++] = data[mid++];
			}
		}
		while (mid <= right) {
			tempArr[third++] = data[mid++];
		}
		while (left <= center) {
			tempArr[third++] = data[left++];
		}
		while (temp <= right) {
			data[temp] = tempArr[temp++];
		}
	}

	public static void main(String[] args) {
		int[] data = { 9, -16, 21, 23, -30, -49, 21, 30, 30 };
		System.out.println("排序之前：\n" + java.util.Arrays.toString(data));
		mergeSort(data);
		System.out.println("排序之后：\n" + java.util.Arrays.toString(data));
	}
}

七、基数排序

public class MultiKeyRadixSort {
	public static void radixSort(int[] data, int radix, int d) {
		System.out.println("开始排序：");
		int arrayLength = data.length;
		int[] temp = new int[arrayLength];
		int[] buckets = new int[radix];
		for (int i = 0, rate = 1; i < d; i++) {
			// 重置count数组，开始统计第二个关键字
			Arrays.fill(buckets, 0);
			// 当data数组的元素复制到temp数组中进行缓存
			System.arraycopy(data, 0, temp, 0, arrayLength);
			for (int j = 0; j < arrayLength; j++) {
				int subKey = (temp[j] / rate) % radix;
				buckets[subKey]++;
			}
			for (int j = 1; j < radix; j++) {
				buckets[j] = buckets[j] + buckets[j - 1];
			}
			for (int m = arrayLength - 1; m >= 0; m--) {
				int subKey = (temp[m] / rate) % radix;
				data[--buckets[subKey]] = temp[m];
			}
			System.out.println("对" + rate + "位上子关键字排序："
					+ java.util.Arrays.toString(data));
			rate *= radix;
		}
	}

	public static void main(String[] args) {
		int[] data = { 1100, 192, 221, 12, 13 };
		System.out.println("排序之前：\n" + java.util.Arrays.toString(data));
		radixSort(data, 10, 4);
		System.out.println("排序之后：\n" + java.util.Arrays.toString(data));
	}
}

八、快速排序

public class QuickSort {
	private static void swap(int[] data, int i, int j) {
		int temp = data[i];
		data[i] = data[j];
		data[j] = temp;
	}

	private static void subSort(int[] data, int start, int end) {
		if (start < end) {
			int base = data[start];
			int low = start;
			int high = end + 1;
			while (true) {
				while (low < end && data[++low] - base <= 0)
					;
				while (high > start && data[--high] - base >= 0)
					;
				if (low < high) {
					swap(data, low, high);
				} else {
					break;
				}
			}
			swap(data, start, high);
			
			subSort(data, start, high - 1);//递归调用
			subSort(data, high + 1, end);
		}
	}
	public static void quickSort(int[] data){
		subSort(data,0,data.length-1);
	}
	
	
	public static void main(String[] args) {
		int[] data = { 9, -16, 30, 23, -30, -49, 25, 21, 30 };
		System.out.println("排序之前：\n" + java.util.Arrays.toString(data));
		quickSort(data);
		System.out.println("排序之后：\n" + java.util.Arrays.toString(data));
	}
}

九、直接选择排序

public class SelectSort2 {
	public static void selectSort(int[] data) {
		System.out.println("开始排序");
		int arrayLength = data.length;
		for (int i = 0; i < arrayLength - 1; i++) {
			int minIndex = i;
			for (int j = i + 1; j < arrayLength; j++) {
				if (data[minIndex] - data[j] > 0) {
					minIndex = j;
					
				}
			}
			if(minIndex != i){
				int temp = data[i];
				data[i] = data[minIndex];
				data[minIndex] = temp;
			}
			System.out.println(java.util.Arrays.toString(data));
		}
	}

	public static void main(String[] args) {
		int[] data = { 9, -16, 21, 23, -30, -49, 21, 30, 30 };
		System.out.println("排序之前：\n" + java.util.Arrays.toString(data));
		selectSort(data);
		System.out.println("排序之后：\n" + java.util.Arrays.toString(data));
	}
}

十、Shell排序

public class ShellSort {
	public static void ShellSort(int[] data) {
		System.out.println("开始排序");
		int arrayLength = data.length;

		int h = 1;
		while (h <= arrayLength / 3) {
			h = h * 3 + 1;
		}
		while (h > 0) {
			System.out.println("===h的值：" + h + "===");
			for (int i = h; i < arrayLength; i++) {
				int temp = data[i];
				if (data[i] - data[i - h] < 0) {
					int j = i - h;
					for (; j >= 0 && data[j] - temp > 0; j -= h) {
						data[j + h] = data[j];
					}
					data[j + h] = temp;
				}
				System.out.println(java.util.Arrays.toString(data));
			}
			h = (h - 1) / 3;
		}
	}

	public static void main(String[] args) {
		int[] data = { 9, -16, 21, 23, -30, -49, 21, 30, 30 };
		System.out.println("排序之前：\n" + java.util.Arrays.toString(data));
		ShellSort(data);
		System.out.println("排序之后：\n" + java.util.Arrays.toString(data));
	}
}

标签：顺序,temp,int,优劣,System,println,排序,data,out
来源： https://blog.csdn.net/xue_yun_xiang/article/details/110894837