/**
* Sorts the specified sub-array of bytes into ascending order.
*/
private static void sort1(byte x[], int off, int len) {
// Insertion sort on smallest arrays
if (len < 7) {
for (int i=off; i<len+off; i++)
for (int j=i; j>off && x[j-1]>x[j]; j--)
swap(x, j, j-1);
return;
}
From Arrays.java line 804-814
As quoted above, it's claiming of using Insertion Sort. However, I'm taking it as Bubble Sort? Which one it's actually is, and why?
As mentioned in the official JavaDoc, Arrays. sort uses dual-pivot Quicksort on primitives. It offers O(n log(n)) performance and is typically faster than traditional (one-pivot) Quicksort implementations. However, it uses a stable, adaptive, iterative implementation of mergesort algorithm for Array of Objects.
Arrays. sort(Object[]) is based on the TimSort algorithm, giving us a time complexity of O(n log(n)). In short, TimSort makes use of the Insertion sort and the MergeSort algorithms. However, it is still slower compared to other sorting algorithms like some of the QuickSort implementations.
The sort method transfers control to the compare method, and compare method returns values based on the arguments passed: If both the objects are equal, returns 0. If the first object is greater than the second, returns a value > 0. If the second object is greater than the first, returns a value < 0.
The quoted code is an insertion sort. A bubble sort repeatedly passes through the entire array, whereas an insertion sort sorts the first element, then the first two elements, then the first three elements, etc. You can tell because the code has two indexed loops, whereas the outer loop on a bubble sort just checks whether the whole array is in order or not.
This whole sorting algorithm is an optimized quick sort that use median of 3 indexed elements to get pivot element, and the code that you showed, is an optimization when the input array (or from the the recursion) is small.
Although, the quoted part is an insertion sort, no doubt.
But it is wrong just look this part of algorithm, so, using this link:
A good explanation about quick sort could be find at http://en.wikipedia.org/wiki/Quicksort.
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