ToInfinityAndBeyond ToInfinityAndBeyond - 5 months ago 3x
Python Question

Find a Hamiltonian Path on a tournament with adjacency lists in Python

A tournament is a complete, directed graph, such that given any two vertices, u and v, there exists a directed edge between them (if u won over v, then the edge is from u to v).

A Hamiltonian Path always exists in a tournament. So given adjacency lists in the form {u:[v,w],v:[w]} where there is a directed edge from u to w, u to v, and v to w, how do I find what the Hamiltonian Path is and print the veritces in order?

Even if you don't know python or whatever, just the algorithm would be very helpful. I've thought about it, and I suppose I have to start with the vertex of highest out degree? Then add the vertex with the second highest degree etc till the vertex with the lowest degree. But I don't see how this is a fail safe method, the vertex with the highest degree could have been beaten by the vertex with the second highest.

Thank you for any help in advance!


You can solve this problem recursively. Suppose you have n+1 vertices named v_0 to v_n. v_1 to v_n and edges between them for a tournament of size n, so we can suppose that we have a hamiltonian path containing v_1 to v_n. Rename them in accordance with that path as u_1 to u_n. Now find u_i such that u_i has won over v_0 and v_0 has won over u_i+1 (Here you should take care of marginal nodes: v_0 has won over u_1 or u_n has won over v_0). After finding such i, the overall hamiltonian path can be constructed as:

u_1 , ... , u_i , v_0 , u_i+1 , ... , u_n

This algorithm has runtime of O(n^2). There exists O(nlogn) algorithm for this problem.