I still remember the behemoth of a commit that was "-60,000 (or similar) lines of code". Best commit I ever pushed.
Those were fun times. Hadn't done anything algorithmically impressive since.
I still remember the behemoth of a commit that was "-60,000 (or similar) lines of code". Best commit I ever pushed.
Those were fun times. Hadn't done anything algorithmically impressive since.
Given two graphs one is a tree you cannot determine if the tree is a subgraph of the other graph in one walk through?
It’s only possible if you’re given additional information? Like a starting node to search from? I’m genuinely confused?
http://www.nsl.com/papers/samefringe.htm
If you flatten both of your trees/graphs and regard the output as strings of nodes, you reduce your task to a substring search.
Now if you want to verify if the structures and not just the leave nodes are identical, you might be able to encode structure information into you strings.
I was thinking in terms of finding all subgraph isomorphisms. But this definitely is O(N) if all you need is one solution.
But then I thought about it even further and this reduces to sliding window problem. In this case you still need to travel to each node in the window to see if there’s a match.
So it cannot be that you traverse each node once. Not if you want to find all possible subgraph isomorphisms.
Imagine a string that is a fractal of substrings:
rrrrrrrrrrrrrrrrrrrrrrrrrrrr
And the other one: rrrrrrr
Right? The sliding window for rrrrrrr will be 7 in length and you need to traverse that entire window every time you move it. So by that fact alone every node is traversed at least 7 times.