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| Content Provider | ACM Digital Library |
|---|---|
| Author | Sampath, G. |
| Abstract | A weighted directed graph $G_{Q}$ = (V, E) is defined for Q, the set of problems known to be NP-complete, with a vertex $v_{i}$ in V being an NP-complete problem $p_{i}$ in Q and the weight of an edge in E being the complexity of the transformation used to prove the NP-completeness of a problem. If the complexity of problem $p_{1}$ relative to problem $p_{2}$ is defined as the minimum complexity of a reduction from $p_{1}$ to $p_{2}$ (considering all paths from $v_{1}$ to $v_{2}$ in V) then the relative complexity graph of Q is the weighted graph $G_{QR}$ = (V, E'), with the weight of edge $e'_{ij}$ being the minimum complexity of $p_{1}$ relative to $p_{2}.$ An $O(n^{3})$ variant of the shortest path problem on directed graphs that is similar to the Floyd algorithm for all-pairs shortest paths is used to construct $G_{QR}.$ $G_{QR}$ can be updated with an $O(n^{2})$ algorithm when a reduction with smaller complexity is found or a new edge is added to the graph, and with an O(n) algorithm if a new vertex (corresponding to the discovery of a new NP-complete problem) is added to the graph. |
| Starting Page | 165 |
| Ending Page | 167 |
| Page Count | 3 |
| File Format | |
| ISBN | 0897919254 |
| DOI | 10.1145/2817460.2817501 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1997-04-02 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Shortest path problem Graph algorithms Reducibility among np-complete problems |
| Content Type | Text |
| Resource Type | Article |
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