I'm studying time complexity in school and our main focus seems to be on polynomial time O(n^c)
algorithms and quasi-linear time O(nlog(n))
algorithms with the occasional exponential time O(c^n)
algorithm as an example of run-time perspective. However, dealing with larger time complexities was never covered.
I would like to see an example problem with an algorithmic solution that runs in factorial time O(n!)
. The algorithm may be a naive approach to solve a problem but cannot be artificially bloated to run in factorial time.
Extra street-cred if the factorial time algorithm is the best known algorithm to solve the problem.
You have n!
lists, so you cannot achieve better efficiency than O(n!)
.