Abstract
Backtrack search is often used to solve constraint satisfaction problems. A relationship involving the structure of the constraints is described that provides a bound on the backtracking required to advance deeper into the backtrack tree. This analysis leads to upper bounds on the effort required for solution of a class of constraint satisfaction problems. The solutions involve a combination of relaxation preprocessing and backtrack search. The bounds are expressed in terms of the structure of the constraint connections. Specifically, the effort is shown to have a bound exponential in the size of the largest biconnected component of the constraint graph, as opposed to the size of the graph as a whole.
| Original language | English |
|---|---|
| Pages (from-to) | 755-761 |
| Number of pages | 7 |
| Journal | Journal of the ACM (JACM) |
| Volume | 32 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Oct 1985 |
| Externally published | Yes |
Keywords
- Biconnected component
- constraint consistency
- constraint networks
- constraint satisfaction
- relaxation
- width