I learnt about quicksort and how it can be implemented in both Recursive and Iterative method.
In Iterative method:
- Push the range
(0...n)into the stack - Partition the given array with a pivot
- Pop the top element.
- Push the partitions (index range) onto a stack if the range has more than one element
- Do the above 3 steps, till the stack is empty
And the recursive version is the normal one defined in wiki.
I learnt that recursive algorithms are always slower than their iterative counterpart.
So, Which method is preferred in terms of time complexity (memory is not a concern)?
Which one is fast enough to use in Programming contest?
Is C++ STL sort() using a recursive approach?
In terms of (asymptotic) time complexity – they are both the same.
"Recursive is slower then iterative" – the rational behind this statement is because of the overhead of the recursive stack (saving and restoring the environment between calls).
However -these are constant number of ops, while not changing the number of "iterations".
Both recursive and iterative quicksort are
O(nlogn)average case andO(n^2)worst case.EDIT:
just for the fun of it I ran a benchmark with the (java) code attached to the post , and then I ran wilcoxon statistic test, to check what is the probability that the running times are indeed distinct
The results may be conclusive (P_VALUE=2.6e-34, https://en.wikipedia.org/wiki/P-value. Remember that the P_VALUE is P(T >= t | H) where T is the test statistic and H is the null hypothesis). But the answer is not what you expected.
The average of the iterative solution was 408.86 ms while of recursive was 236.81 ms
(Note – I used
Integerand notintas argument torecursiveQsort()– otherwise the recursive would have achieved much better, because it doesn’t have to box a lot of integers, which is also time consuming – I did it because the iterative solution has no choice but doing so.Thus – your assumption is not true, the recursive solution is faster (for my machine and java for the very least) than the iterative one with P_VALUE=2.6e-34.