| Improved decremental algorithms for maintaining transitive closure and all-pairs shortest paths |
| Full text |
Pdf
(179 KB)
|
| Source
|
Annual ACM Symposium on Theory of Computing
archive
Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
table of contents
Montreal, Quebec, Canada
SESSION: Session 3A
table of contents
Pages: 117 - 123
Year of Publication: 2002
ISBN:1-58113-495-9
|
|
Authors
|
|
| Sponsor |
|
| Publisher |
|
| Bibliometrics |
Downloads (6 Weeks): 6, Downloads (12 Months): 41, Citation Count: 7
|
|
|
ABSTRACT
We present improved algorithms for maintaining transitive closure and all-pairs shortest paths/distances in a digraph under deletion of edges.(MATH) For the problem of transitive closure, the previous best known algorithms, for achieving O(1) query time, require O(\min(m, \frac{n^3}{m}))$ amortized update time, implying an upper bound of O(n^{\frac{3}{2}})$ on update time per edge-deletion. We present an algorithm that achieves $O(1)$ query time and O(n \log^2n + \frac{n^2}{\sqrt{m}}{\sqrt{\log n}})$ update time per edge-deletion, thus improving the upper bound to O(n^{\frac{4}{3}}\sqrt[3]{\log n})$.(MATH) For the problem of maintaining all-pairs shortest distances in unweighted digraph under deletion of edges, we present an algorithm that requires O(\frac{n^3}{m} \log^2 n)$ amortized update time and answers a distance query in O(1) time. This improves the previous best known update bound by a factor of log n. For maintaining all-pairs shortest paths, we present an algorithm that achieves O(\min(n^{\frac{3}{2}} \sqrt{\log n}, \frac{n^3}{m} \log ^2n))$ amortized update time and reports a shortest path in optimal time (proportional to the length of the path). For the latter problem we improve the worst amortized update time bound by a factor of O(\sqrt{\frac{n}{\log n}})$.(MATH) We also present the first decremental algorithm for maintaining all-pairs (1+&egr;) approximate shortest paths/distances, for any &egr; > 0, that achieves a sub-quadratic update time of O(n log2n + \frac{n^2}{\sqrt{\epsilon m}}\sqrt{\log n})$ and optimal query time.Our algorithms are randomized and have one-sided error for query (with probability O(1/nc) for any constant c).
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
|
| |
2
|
|
| |
3
|
C. Demetrescu. Private communication.
|
| |
4
|
|
| |
5
|
|
| |
6
|
|
| |
7
|
|
| |
8
|
|
| |
9
|
|
| |
10
|
|
| |
11
|
|
|