Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4952103 | Theoretical Computer Science | 2017 | 16 Pages |
Abstract
Furthermore, this paper analyzes the expected update time of LSA dealing with edge weight increases or edge deletions in Erdös-Rényi (a.k.a., G(n,p)) random graphs. For weighted G(n,p) random graphs with arbitrary positive edge weights, LSA takes at most O(h(Ts)) expected update time to deal with a single edge weight increase as well as O(pn2h(Ts)) total update time, where h(Ts) is the height of input SSSP tree Ts. For G(n,p) random graphs, LSA takes O(lnâ¡n) expected update time to handle a single edge deletion as well as O(pn2lnâ¡n) total update time when 20lnâ¡n/nâ¤p<2lnâ¡n/n, and O(1) expected update time to handle a single edge deletion as well as O(pn2) total update time when p>2lnâ¡n/n. Specifically, LSA takes the least total update time of O(nlnâ¡nh(Ts)) for weighted G(n,p) random graphs with p=clnâ¡n/n,c>1 as well as O(n3/2(lnâ¡n)1/2) for G(n,p) random graphs with p=clnâ¡n/n,c>2.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Wei Ding, Ke Qiu,