Heapsort排序

将整个数组看作一个二叉树heap, 下标0为堆顶层, 下标1, 2为次顶层, 然后每层就是"3,4,5,6", "7, 8, 9, 10, 11, 12, 13, 14", ..., 对于其中的每一个非叶子节点, 其子节点的下标为 2 * pos + 1 和 2 * pos + 2

循环进行以下工作:

  1. 标记当前堆的右边界
  2. 将堆初始化为大顶堆
  3. 将堆顶置换到右边界, 同时将右边界左移一位(即将堆缩小一格)

将堆初始化为大顶堆

  1. 从最后一个非叶子节点开始, 其下标为  length / 2 - 1, length为当前的堆大小, 往前挨个处理
  2. 检查节点值, 对节点与其子节点的值大小i进行比较, 如果子节点值比当前节点大, 将最大值的那个子节点换上来
  3. 如果发生了交换, 那么要对发生交换的这个子节点位置也进行检查, 如果还有交换, 则继续往下查, 直到达到叶子节点

将堆初始化为大顶堆后, 堆顶即为最大元素, 将堆顶交换到右边界

之后因为除了堆顶都满足大顶堆的条件, 所以只需要从堆顶进行判断和交换就可以将堆恢复为大顶堆.

Java代码



public class HeapSort {

public static <T> void sort(T[] array, Comparator<? super T> comparator) {
for (int i = array.length / 2 - 1; i >= 0; i--) {
int pos = i;
while ((pos = heapify(array, comparator, pos, array.length - 1)) != 0);
}
for (int i = array.length - 1; i > 0; i--) {
swap(array, 0, i);
int pos = 0;
while ((pos = heapify(array, comparator, pos, i - 1)) != 0);
}
}

/**
* 检查pos位置, 自上而下判断是否都满足大顶堆的要求
* 其左右子节点的下标为 2*pos+1 和 2*pos+2
*
* @param pos 当前要检查的下标
* @return 如果无调整, 则返回0, 如果有调整, 则返回被调整的子节点下标
*/
private static <T> int heapify(T[] array, Comparator<? super T> comparator, int pos, int limit) {
int left = 2 * pos + 1;
int right = 2 * pos + 2;
int largest = pos;
if (left <= limit && comparator.compare(array[largest], array[left]) < 0) {
largest = left;
}
if (right <= limit && comparator.compare(array[largest], array[right]) < 0) {
largest = right;
}
if (largest != pos) {
swap(array, pos, largest);
return largest;
}
return 0;
}

private static <T> void swap(T[] array, int a, int b) {
T tmp = array[a];
array[a] = array[b];
array[b] = tmp;
}

public static void main(String args[])
{
int size = 200000;
int rounds = 5;
Integer[] test2 = new Integer[size];
long total = 0;
for (int round = 0; round < rounds; round++) {
for (int i = 0; i < size; i++) {
test2[i] = (int)(Math.random()*10000);
}
long start = System.currentTimeMillis();
HeapSort.sort(test2, (Integer o1, Integer o2) -> (o1 - o2));
long elapse = System.currentTimeMillis() - start;
total += elapse;
// for (int i : test2) {
// System.out.println(i);
// }
System.out.println("Elapsed: " + elapse + "ms");
}
System.out.println("Average: " + total / rounds + "ms");
}
}


  

 C代码, 在原数组上排序



void heap_sort(int *nums, int size) {
for (int i = 0; i < size; i++) {
int num = *(nums + i);
printf("%d ", num);
}
printf("\n");
for (int i = 0; i < size; i++) {
int length = size - i;
for (int pos = length / 2 - 1; pos >= 0; pos-- ) {
int p = pos;
do {
p = check(nums + i, length - 1, p);
} while (p != 0);
}
for (int j = 0; j < size; j++) {
int num = *(nums + j);
printf("%d ", num);
}
printf(" %d\n", i);
}
}

int check(int *nums, int limit, int pos) {
int ls = pos * 2 + 1;
int rs = pos * 2 + 2;
if (ls > limit) {
return 0;
}
int p = *(nums + pos);
if (rs > limit) {
int l = *(nums + ls);
if (l > p) {
swap(nums + ls, nums + pos);
return ls;
} else {
return 0;
}
} else {
int l = *(nums + ls);
int r = *(nums + rs);
if (l > r) {
if (l > p) {
swap(nums + ls, nums + pos);
return ls;
} else {
return 0;
}
} else {
if (r > p) {
swap(nums + rs, nums + pos);
return rs;
} else {
return 0;
}
}
}
}

void swap(int *a, int *b) {
int t = *a;
*a = *b;
*b = t;
}