Article ID Journal Published Year Pages File Type
4952103 Theoretical Computer Science 2017 16 Pages PDF
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(ln⁡n) expected update time to handle a single edge deletion as well as O(pn2ln⁡n) total update time when 20ln⁡n/n≤p<2ln⁡n/n, and O(1) expected update time to handle a single edge deletion as well as O(pn2) total update time when p>2ln⁡n/n. Specifically, LSA takes the least total update time of O(nln⁡nh(Ts)) for weighted G(n,p) random graphs with p=cln⁡n/n,c>1 as well as O(n3/2(ln⁡n)1/2) for G(n,p) random graphs with p=cln⁡n/n,c>2.
Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
Authors
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