• 用Java来写常见的排序算法


    /**
     * 各种排序算法
     *
     * @author huwei
     *
     */
    public class Sort {
        public static void main(String[] args) {
            int[] a = { 60, 57, 89, 47, 57, 98, 45, 35, 73 };
            Sort sort = new Sort();
            sort.quickSort(a);
            for (int i = 0; i < a.length; i++) {
                System.out.print(" " + a[i] + " ");
            }
        }
     
        /**
         * 插入排序
         *
         * @param data
         */
        public void insertSort(int[] data) {
            for (int i = 1; i < data.length; i++) {
                for (int j = i; (j > 0) && (data[j] < data[j - 1]); j--) {
                    swap(data, j, j - 1);
                }
            }
        }
     
        /**
         * 冒泡排序
         *
         * @param data
         */
        public void bubbleSort(int[] data) {
            for (int i = 0; i < data.length; i++) {
                for (int j = data.length - 1; j > i; j--) {
                    if (data[j] < data[j - 1]) {
                        swap(data, j, j - 1);
                    }
                }
            }
     
        }
     
        /**
         * 选择排序
         *
         * @param data
         */
        public void selectSort(int[] data) {
            for (int i = 0; i < data.length; i++) {
                int lowIndex = i;
                for (int j = data.length - 1; j > i; j--) {
                    if (data[j] < data[lowIndex]) {
                        lowIndex = j;
                    }
                }
                swap(data, i, lowIndex);
            }
        }
     
        /**
         * shell排序
         *
         * @param data
         */
        public void shellSort(int[] data) {
            for (int i = data.length / 2; i > 2; i /= 2) {
                for (int j = 0; j < i; j++) {
                    insertSort(data, j, i);
                }
            }
            insertSort(data, 0, 1);// 最后进行一次插入排序
        }
     
        private void insertSort(int[] data, int start, int inc) {
            for (int i = start + inc; i < data.length; i += inc) {
                for (int j = i; (j >= inc) && (data[j] < data[j - inc]); j -= inc) {
                    swap(data, j, j - inc);
                }
            }
        }
     
        /**
         * 快速排序 重点
         *
         * @param data
         */
        public void quickSort(int[] data) {
            quickSort(data, 0, data.length - 1);
        }
     
        private void quickSort(int[] data, int i, int j) {
            int pivotIndex = (i + j) / 2;
            // swap
            swap(data, pivotIndex, j);
     
            int k = partition(data, i - 1, j, data[j]);
            swap(data, k, j);
            if ((k - i) > 1)
                quickSort(data, i, k - 1);
            if ((j - k) > 1)
                quickSort(data, k + 1, j);
     
        }
     
        private int partition(int[] data, int l, int r, int pivot) {
            do {
                while (data[++l] < pivot)
                    ;
                while ((r != 0) && data[--r] > pivot)
                    ;
                swap(data, l, r);
            } while (l < r);
            swap(data, l, r);
            return l;
        }
     
        /**
         * 归并排序
         *
         * @param data
         */
        public void mergeSort(int[] data) {
            int[] temp = new int[data.length];
            mergeSort(data, temp, 0, data.length - 1);
        }
     
        private void mergeSort(int[] data, int[] temp, int l, int r) {
            int mid = (l + r) / 2;
            if (l == r)
                return;
            mergeSort(data, temp, l, mid);
            mergeSort(data, temp, mid + 1, r);
            for (int i = l; i <= r; i++) {
                temp[i] = data[i];
            }
            int i1 = l;
            int i2 = mid + 1;
            for (int cur = l; cur <= r; cur++) {
                if (i1 == mid + 1)
                    data[cur] = temp[i2++];
                else if (i2 > r)
                    data[cur] = temp[i1++];
                else if (temp[i1] < temp[i2])
                    data[cur] = temp[i1++];
                else
                    data[cur] = temp[i2++];
            }
        }
     
        /**
         * 堆排序
         *
         * @param data
         */
        public void heapSort(int[] data) {
            MaxHeap h = new MaxHeap();
            h.init(data);
            for (int i = 0; i < data.length; i++)
                h.remove();
            System.arraycopy(h.queue, 1, data, 0, data.length);
        }
     
        private static class MaxHeap {
            void init(int[] data) {
                this.queue = new int[data.length + 1];
                for (int i = 0; i < data.length; i++) {
                    queue[++size] = data[i];
                    fixUp(size);
                }
            }
     
            private int size = 0;
     
            private int[] queue;
     
        /*  public int get() {
                return queue[1];
            }*/
     
            public void remove() {
                swap(queue, 1, size--);
                fixDown(1);
            }
     
            // fixdown
            private void fixDown(int k) {
                int j;
                while ((j = k << 1) <= size) {
                    if (j < size && queue[j] < queue[j + 1])
                        j++;
                    if (queue[k] > queue[j]) // 不用交换
                        break;
                    swap(queue, j, k);
                    k = j;
                }
            }
     
            private void fixUp(int k) {
                while (k > 1) {
                    int j = k >> 1;
                    if (queue[j] > queue[k])
                        break;
                    swap(queue, j, k);
                    k = j;
                }
            }
     
        }
     
        public static void swap(int[] data, int i, int j) {
            int temp = data[i];
            data[i] = data[j];
            data[j] = temp;
        }
    }
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  • 原文地址:https://www.cnblogs.com/androidsj/p/4630129.html
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