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| Content Provider | Society for Industrial and Applied Mathematics (SIAM) |
|---|---|
| Author | Erickson, Jeff Cabello, Sergio Chambers, Erin W. |
| Copyright Year | 2013 |
| Abstract | Let $G$ be a directed graph with $n$ vertices and nonnegative weights in its directed edges, embedded on a surface of genus $g$, and let $f$ be an arbitrary face of $G$. We describe a randomized algorithm to preprocess the graph in $O(gn \log n)$ time with high probability, so that the shortest-path distance from any vertex on the boundary of $f$ to any other vertex in $G$ can be retrieved in $O(\log n)$ time. Our result directly generalizes the $O(n\log n)$-time algorithm of Klein [Proceedings of the 16th Annual ACM-SIAM Symposium on Discrete Algorithms, 2005] for multiple-source shortest paths in planar graphs. Intuitively, our preprocessing algorithm maintains a shortest-path tree as its source point moves continuously around the boundary of $f$. As an application of our algorithm, we describe algorithms to compute a shortest noncontractible or nonseparating cycle in embedded, undirected graphs in $O(g^2 n\log n)$ time with high probability. Our high-probability time bounds hold in the worst case for generic edge weights or with an additional $O(\log n)$ factor for arbitrary edge weights. |
| Starting Page | 1542 |
| Ending Page | 1571 |
| Page Count | 30 |
| File Format | |
| ISSN | 00975397 |
| DOI | 10.1137/120864271 |
| e-ISSN | 10957111 |
| Journal | SIAM Journal on Computing (SMJCAT) |
| Issue Number | 4 |
| Volume Number | 42 |
| Language | English |
| Publisher | Society for Industrial and Applied Mathematics |
| Publisher Date | 2013-07-18 |
| Access Restriction | Subscribed |
| Subject Keyword | Planar graphs; geometric and topological aspects of graph theory Nonnumerical algorithms computational topology topological graph theory parametric shortest paths Graph theory Graph algorithms dynamic data structures Relations with graph theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Mathematics Computer Science |
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