- Inplace sorting algorithm
- For items <= 10 , use insertion sort instead of quick sort
/*
==========================================================
Generic Implementation of Quick sort
Input: Used Comparable interface as input
Input: [ 3, 0, 5, 2, 1, 0, 0, 0, 4 ]
Output: [ 0, 0, 0, 0, 1, 2, 3, 4, 5 ]
Input: [ "three", "0", "five", "2", "one", "seven", "4" ]
Output: [ "0", "2", "4", "five", "one", "seven", "three" ]
==========================================================
*/
public static class quickSort {
public int partition(Comparable[] a, int low, int high) {
int i = low, j = high + 1;
while (true) {
while (compare(a[++i], a[low])) if (i == high) break;
while (compare(a[low], a[--j])) if (j == low) break;
if (i >= j) break;
swap(a, i, j);
}
swap(a, low, j);
return j;
}
void sort(Comparable[] a, int low, int high) {
if (low < high) {
int pi = partition(a, low, high);
sort(a, low, pi - 1);
sort(a, pi + 1, high);
}
}
private boolean compare(Comparable comparable, Comparable comparable1) {
return comparable.compareTo(comparable1) < 0;
}
}
{% hint style="success" %}
- Not stable
- $$O ( log( n))$$extra space
-
$$O(n^{2})$$ time, but typically$$O( n * log(n))$$ time - Not adaptive {% endhint %}