The recursive, partitioning nature of this algorithm makes it susceptible to boosts from parallelization.
In the standard implementation of it, the worst case runtime occurs when the input data is already in the desired order. The recursive, partitioning nature of this algorithm makes it susceptible to boosts from parallelization. It can be optimized using in-place memory allocation to use only Big O of log n additional memory, and its worst case runtime can be avoided by picking a random element of the list to use when subdividing the list into smaller lists. FTP, identify this algorithm that operates by moving elements along a pivot that runs in big O of n log n time with a small constant, named for its speedy organization.
In the standard implementation of it, the worst case runtime occurs when the input data is already in the desired order.
Quicksort