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保存一些常见的排序算法

保存一些常见的排序算法

作者: JarryLeo | 来源:发表于2018-08-15 18:22 被阅读35次
    import java.util.Arrays;
    import java.util.Random;
    
    public class Sort {
        public static void main(String[] args) {
            test();
    //        sort();
        }
    
        private static void sort() {
            int[] nums = createArr(20, 200);
            print(nums);
            gnomeSort1(nums);
            print(nums);
        }
    
        private static void test() {
            long time1, time2;
            int[] ints;
            int length = 100000; //生成的数组长度
            int[] nums = createArr(length, Integer.MAX_VALUE);
            System.out.println(length + "长度数组排序测试");
    
            ints = Arrays.copyOf(nums, length);
            time1 = System.currentTimeMillis();
            selectionSort(ints);
            time2 = System.currentTimeMillis();
            System.out.println("选择排序耗时:" + (time2 - time1) + "ms");
    
            ints = Arrays.copyOf(nums, length);
            time1 = System.currentTimeMillis();
            bubbleSort(ints);
            time2 = System.currentTimeMillis();
            System.out.println("冒泡排序耗时:" + (time2 - time1) + "ms");
    
            ints = Arrays.copyOf(nums, length);
            time1 = System.currentTimeMillis();
            cockSort(ints);
            time2 = System.currentTimeMillis();
            System.out.println("鸡尾酒排序耗时:" + (time2 - time1) + "ms");
    
            ints = Arrays.copyOf(nums, length);
            time1 = System.currentTimeMillis();
            insertSort(ints);
            time2 = System.currentTimeMillis();
            System.out.println("插入排序耗时:" + (time2 - time1) + "ms");
    
            ints = Arrays.copyOf(nums, length);
            time1 = System.currentTimeMillis();
            shellSort(ints);
            time2 = System.currentTimeMillis();
            System.out.println("希尔排序耗时:" + (time2 - time1) + "ms");
    
            ints = Arrays.copyOf(nums, length);
            time1 = System.currentTimeMillis();
            heapSort(ints);
            time2 = System.currentTimeMillis();
            System.out.println("堆排序耗时:" + (time2 - time1) + "ms");
    
            ints = Arrays.copyOf(nums, length);
            time1 = System.currentTimeMillis();
            quickSort(ints, 0, ints.length - 1);
            time2 = System.currentTimeMillis();
            System.out.println("快速排序耗时:" + (time2 - time1) + "ms");
    
            ints = Arrays.copyOf(nums, length);
            time1 = System.currentTimeMillis();
            quickSort(ints, 0, ints.length - 1);
            time2 = System.currentTimeMillis();
            System.out.println("双轴快速排序耗时:" + (time2 - time1) + "ms");
    
            ints = Arrays.copyOf(nums, length);
            time1 = System.currentTimeMillis();
            mergeSort(ints, 0, ints.length - 1);
            time2 = System.currentTimeMillis();
            System.out.println("归并排序耗时:" + (time2 - time1) + "ms");
    
            ints = Arrays.copyOf(nums, length);
            time1 = System.currentTimeMillis();
            gnomeSort(ints);
            time2 = System.currentTimeMillis();
            System.out.println("地精排序耗时:" + (time2 - time1) + "ms");
    
            ints = Arrays.copyOf(nums, length);
            time1 = System.currentTimeMillis();
            gnomeSort1(ints);
            time2 = System.currentTimeMillis();
            System.out.println("地精排序优化版耗时:" + (time2 - time1) + "ms");
    
            ints = Arrays.copyOf(nums, length);
            time1 = System.currentTimeMillis();
            Arrays.sort(ints);
            time2 = System.currentTimeMillis();
            System.out.println("系统排序耗时:" + (time2 - time1) + "ms");
    
            ints = Arrays.copyOf(nums, length);
            time1 = System.currentTimeMillis();
            stoogeSort(ints, 0, ints.length - 1);
            time2 = System.currentTimeMillis();
            System.out.println("神经病排序耗时:" + (time2 - time1) + "ms");
        }
    
        //打印数组
        private static void print(int[] arr) {
            System.out.println(Arrays.toString(arr));
        }
    
        //生成随机数组
        public static int[] createArr(int length, int bounds) {
            int[] arr = new int[length];
            Random random = new Random();
            for (int i = 0; i < length; i++) {
                arr[i] = random.nextInt(bounds);
            }
            return arr;
        }
    
        //交换数组索引ij的数值
        private static void swap(int[] arr, int i, int j) {
            int temp = arr[j];
            arr[j] = arr[i];
            arr[i] = temp;
        }
    
        //选择排序
        public static void selectionSort(int[] arr) {
            int min;
            for (int i = 0; i < arr.length - 1; i++) {
                min = i;
                for (int j = i + 1; j < arr.length; j++) {
                    if (arr[min] > arr[j]) {
                        min = j;
                    }
                }
                swap(arr, i, min);
            }
        }
    
        //冒泡排序
        public static void bubbleSort(int[] arr) {
            for (int i = 0; i < arr.length - 1; i++) {
                for (int j = 0; j < arr.length - i - 1; j++) {
                    if (arr[j] > arr[j + 1]) {
                        swap(arr, j, j + 1);
                    }
                }
            }
        }
    
        //鸡尾酒冒泡
        public static void cockSort(int[] arr) {
            int min = 0, max = arr.length - 1;
            int index = 0;
            while (min < max) {
                for (int i = min; i < max; i++) {
                    if (arr[i] > arr[i + 1]) {
                        swap(arr, i, i + 1);
                        index = i;
                    }
                }
                max = index;
                for (int i = max; i > min; i--) {
                    if (arr[i] < arr[i - 1]) {
                        swap(arr, i, i - 1);
                        index = i;
                    }
                }
                min = index;
            }
        }
    
        //插入排序
        public static void insertSort(int[] arr) {
            int num, j;
            for (int i = 1; i < arr.length; i++) {
                num = arr[i];
                j = i - 1;
                while (j >= 0 && num < arr[j]) {
                    arr[j + 1] = arr[j];
                    j--;
                }
                arr[j + 1] = num;
            }
        }
    
        //希尔排序
        public static void shellSort(int[] arr) {
            int num, j, gap = arr.length / 2;
            while (gap >= 1) {
                for (int i = gap; i < arr.length; i++) {
                    num = arr[i];
                    j = i - gap;
                    while (j >= 0 && num < arr[j]) {
                        arr[j + gap] = arr[j];
                        j -= gap;
                    }
                    arr[j + gap] = num;
                }
                gap >>>= 1;
            }
        }
    
    
        //神经病排序
        public static void stoogeSort(int[] arr, int i, int j) {
            int temp;
            if (arr[j] < arr[i]) {
                swap(arr, i, j);
            }
            if (j - i + 1 > 2) {
                temp = (j - i + 1) / 3;
                stoogeSort(arr, i, j - temp);
                stoogeSort(arr, i + temp, j);
                stoogeSort(arr, i, j - temp);
            }
        }
    
        //快速排序
        public static void quickSort(int[] arr, int left, int right) {
            if (left >= right) return;
            int i = left, j = right, temp = arr[left];
            while (i < j) {
                while (i < j && arr[j] >= temp) {
                    j--;
                }
                while (i < j && arr[i] <= temp) {
                    i++;
                }
                if (i < j) {
                    swap(arr, i, j);
                }
            }
            arr[left] = arr[i];
            arr[i] = temp;
            quickSort(arr, left, i - 1);
            quickSort(arr, i + 1, right);
        }
    
        //双轴快排
        public static void QuickSortDualPivot(int[] A, int L, int R) {
    
            if (L >= R) {
                return;
            }
    
            if (A[L] > A[R]) {
                swap(A, L, R); //保证pivot1 <= pivot2
            }
    
            int pivot1 = A[L];
            int pivot2 = A[R];
    
            int i = L + 1;
            int k = L + 1;
            int j = R - 1;
    
            OUT_LOOP:
            while (k <= j) {
                if (A[k] < pivot1) {
                    swap(A, i, k);
                    k++;
                    i++;
                } else if (A[k] >= pivot1 && A[k] <= pivot2) {
                    k++;
                } else {
                    while (A[j] > pivot2) {
                        j--;
                        if (j < k) {//当k和j错过
                            break OUT_LOOP;
                        }
                    }
                    if (A[j] >= pivot1 && A[j] <= pivot2) {
                        swap(A, k, j);
                        k++;
                        j--;
                    } else {//A[j] < pivot1
                        swap(A, j, k);//注意k不动
                        j--;
                    }
                }
            }
            i--;
            j++;
            swap(A, L, i);//将pivot1交换到适当位置
            swap(A, R, j);//将pivot2交换到适当位置
    
            //一次双轴切分至少确定两个元素的位置,这两个元素将整个数组区间分成三份
            QuickSortDualPivot(A, L, i - 1);
            QuickSortDualPivot(A, i + 1, j - 1);
            QuickSortDualPivot(A, j + 1, R);
        }
    
        //归并排序
        public static void mergeSort(int[] arr, int start, int end) {
            if (start >= end) return;
            int middle = (start + end) / 2;
            mergeSort(arr, start, middle);
            mergeSort(arr, middle + 1, end);
            merge(arr, start, middle, end);
        }
    
        private static void merge(int[] array, int start, int middle, int end) {
            int[] aux = new int[end - start + 1];
            System.arraycopy(array, start, aux, 0, end - start + 1);
            int left = start;
            int right = middle + 1;
            for (int k = start; k <= end; k++) {
                if (left > middle) {
                    array[k] = aux[right - start];
                    right++;
                } else if (right > end) {
                    array[k] = aux[left - start];
                    left++;
                } else if (aux[left - start] > aux[right - start]) {
                    array[k] = aux[right - start];
                    right++;
                } else {
                    array[k] = aux[left - start];
                    left++;
                }
            }
        }
    
        //堆排序
        public static void heapSort(int[] arr) {
            int len = arr.length - 1;
            //生成大顶堆
            for (int parent = len / 2 - 1; parent >= 0; parent--) {
                heapAdjust(arr, parent, len);
            }
            //每次截取大顶堆的根结点,排在数组最后,然后调整剩下的堆使其保持大顶堆
            while (len >= 0) {
                swap(arr, 0, len--);
                heapAdjust(arr, 0, len);
            }
        }
    
        //从parent节点开始调整堆保持parent它的子节点为大顶堆
        private static void heapAdjust(int[] arr, int parent, int len) {
            int leftChild, rightChild, maxChild;
            while ((leftChild = parent * 2 + 1) <= len) {
                rightChild = leftChild + 1;
                maxChild = leftChild;
                if (maxChild < len && (arr[leftChild] < arr[rightChild])) {
                    maxChild++;
                }
                if (arr[parent] < arr[maxChild]) {
                    swap(arr, parent, maxChild);
                    parent = maxChild;
                } else {
                    break;
                }
            }
        }
    
        //地精排序
        public static void gnomeSort(int[] arr) {
            for (int i = 0; i < arr.length; ) {
                if (i == 0 || arr[i - 1] <= arr[i]) i++;
                else swap(arr, i, --i);
            }
        }
    
        //地精排序优化版1
        public static void gnomeSort1(int[] arr) {
            for (int i = 0, p = 0; i < arr.length; ) {
                if (i == 0 || arr[i - 1] <= arr[i]) i = ++p;
                else swap(arr, i, --i);
            }
        }
    }
    
    

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