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A fast algorithm for source-wise round-trip spanners.
- Source :
-
Theoretical Computer Science . Jul2021, Vol. 876, p34-44. 11p. - Publication Year :
- 2021
-
Abstract
- In this paper, we study the problem of fast constructions of source-wise round-trip spanners in weighted directed graphs. For a source vertex set S ⊆ V in a graph G (V , E) , an S -sourcewise round-trip spanner of G of stretch k is a subgraph H of G such that for every pair of vertices u , v ∈ S × V , their round-trip distance in H is at most k times of their round-trip distance in G. We show that for a graph G (V , E) with n vertices and m edges, an s -sized source vertex set S ⊆ V and an integer k > 1 , there exists an algorithm that in time O (m s 1 / k log 5 n) constructs an S -sourcewise round-trip spanner of stretch O (k log n) and O (n s 1 / k log 2 n) edges with high probability. Compared to the fast algorithms for constructing all-pairs round-trip spanners [26,12] , our algorithm improves the running time and the number of edges in the spanner when k is super-constant. Compared with the existing algorithm for constructing source-wise round-trip spanners [36] , our algorithm significantly improves their construction time Ω (min { m s , n ω }) (where ω ∈ [ 2 , 2.373) and 2.373 is the matrix multiplication exponent) to nearly linear O (m s 1 / k log 5 n) , at the expense of paying an extra O (log n) in the stretch. As an important building block of the algorithm, we develop a graph partitioning algorithm to partition G into clusters of bounded radius and prove that for every u , v ∈ S × V at small round-trip distance, the probability of separating them in different clusters is small. The algorithm takes the size of S as input and does not need the knowledge of S. With the algorithm and a reachability vertex size estimation algorithm, we show that the recursive algorithm for constructing standard round-trip spanners [26] can be adapted to the source-wise setting. We rigorously prove the correctness and computational complexity of the adapted algorithms. Finally, we show how to remove the dependence on the edge weight in the source-wise case. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03043975
- Volume :
- 876
- Database :
- Academic Search Index
- Journal :
- Theoretical Computer Science
- Publication Type :
- Academic Journal
- Accession number :
- 150640622
- Full Text :
- https://doi.org/10.1016/j.tcs.2021.05.019