Abstract
One way to cope with an NP-hard problem is to find an algorithm that is fact on average with respect to a natural probability distribution on inputs. We consider from that point of view the Hamiltonian Path Problem. Our algorithm for the Hamiltonian Path Problem constructs or establishes the nonexistence of a Hamiltonian path. For a fixed probability p, the expected run-time of our algorithm on a random graph with n vertices and the edge probability p is O(n). The algorithm is adaptable to directed graphs.
| Original language | English |
|---|---|
| Pages (from-to) | 486-502 |
| Number of pages | 17 |
| Journal | SIAM Journal on Computing |
| Volume | 16 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1987 |
| Externally published | Yes |
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