Why is insertion sort faster than quick-sort and bubble-sort for small cases?

I recently read an article that talked about the computation complexity of algorithms. The author mentioned "why insertion sort is faster than quick-sort a开发者_高级运维nd bubble-sort for small cases". Could anybody make some explanation for that?

Does anybody know the actual complexity of each sort algorithm I mentioned above?

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Consider two complexity functions:

F(X) = X^2
G(X) = 4 * X * ln(X)

F(3) = 9
G(3) = 13

So algorithm F wins for 3 items. But:

F(100) = 10,000
G(100) = 1,842

So algorithm G wins for 100 items.

Insertion sort's complexity is like F(X). Quick sort's complexity is like G(X).

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If a list is already sorted, quicksort needs to go through all the recursive steps to get to n lists of size 1. Both of these take time. But the insertion sort will iterate though the list once and find out that it is done. This is the fastest for this case.

When the list is small, the overhead to make recursive calls and finding the pivot value, etc is much slower than the iterative process used in insertion sort.

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Actual complexity of each sorting algorithm is as follows:

1. Best - Insertion Sort: O(N ^ 2), O(N), O(N ^ 2)
2. Average - Quick Qort: O(N ^ 2), O(N log N), O(N log N)
3. Worst - Bubble Sort: O(N ^ 2), O(N), O(N ^ 2)