/**
* Sort an array in ascending order
* @param arr array to sort
*/
public static void quickSort(int[] arr){
qs(arr, 0, arr.length);
}
/**
* Sort a region of an array in ascending order.
* Elements outside the given region are unchanged.
* requires: 0 <= start <= end <= arr.length
* @param arr array to sort
* @param start start of region (inclusive)
* @param end end of region (exclusive)
*/
private static void qs(int[] arr, int start, int end){
if (end <= start+1){ //region of length 0 or 1
return;
}
int x = arr[start];
int p = partition(arr, start+1, end, x);
//now swap arr[start] with arr[p-1]
arr[start] = arr[p-1];
arr[p-1] = x;
qs(arr, start, p-1);
qs(arr, p, end);
}
/**
* Partition a region of an array.
* Rearranges elements in region so that small ones
* all have smaller indexes than the big ones.
* Elements outside the region are unchanged.
* requires: 0 <= start <= end <= arr.length
* @param arr array to partition
* @param start start of region (inclusive)
* @param end end of region (exclusive)
* @param x pivot - "small" and "big" are <x, >=x.
* @return start index (inclusive) of big elements
* in region after partition.
*/
private static int partition(
int[] arr, int start, int end, int x)
{
int l = start -1, r = end+1;
while (true) {
while (l < end && arr[++l] < x) ;
while(r> l && arr[--r] >x);// find smaller item
if(l >= r) // if pointers cross,
break; // partition done
else {
int temp;
temp = arr[l];
arr[l] = arr[r];
arr[r] = temp;
}
}
return l;
}
public static void main(String[] args) {
int[] a = {15,8,9,6,2,8,8,5,8,4,2};
quickSort(a);
for (int i = 0; i < a.length; i++){
System.out.print(" "+a[i]);
}
}
}
partition
方法有什么错误?
答案 0 :(得分:2)
让我强调一些重要的事实:
* @param end end of region (exclusive)
^^^^^^^^^
* @param x pivot - "small" and "big" are <x, >=x.
* @return start index (inclusive) of big elements
* in region after partition.
*/
private static int partition(
int[] arr, int start, int end, int x)
{
int l = start -1, r = end+1;
^^^^^^^^^^
while (true) {
while (l < end && arr[++l] < x) ;
^^^^^^^^^^^^^^^^^^^^^^^
while(r> l && arr[--r] >x);// find smaller item
^^^^^^^^
整个阵列分区后,end
为arr.length
。然后设置end = arr.length + 1
并在循环获取之后递增较低索引l
,如果没有引发ArrayIndexOutOfBoundsException
(尝试访问arr[end]
,如果pivot是例如数组中的最大元素),您尝试在下一个循环中访问的第一个数组元素是arr[arr.length]
。这会引发ArrayIndexOutOfBoundsException
。
因此,您可以保证在partition
中获得AIOBE。
您可以设置r = end
并将循环控件更改为
while(++l < r && arr[l] < x)
和
while(r-- > l && arr[r] > x)
或者您也可以将更高的索引包含在内,并从qs(arr, 0, arr.length -1)
致电main
。