Abstract | ||
---|---|---|
A local algorithm is a distributed algorithm that completes after a constant
number of synchronous communication rounds. We present local approximation
algorithms for the minimum dominating set problem and the maximum matching
problem in 2-coloured and weakly 2-coloured graphs. In a weakly 2-coloured
graph, both problems admit a local algorithm with the approximation factor
$(\Delta+1)/2$, where $\Delta$ is the maximum degree of the graph. We also give
a matching lower bound proving that there is no local algorithm with a better
approximation factor for either of these problems. Furthermore, we show that
the stronger assumption of a 2-colouring does not help in the case of the
dominating set problem, but there is a local approximation scheme for the
maximum matching problem in 2-coloured graphs. |
Year | Venue | Keywords |
---|---|---|
2010 | Clinical Orthopaedics and Related Research | cluster computing,maximum degree,synchronous communication,maximum matching,distributed algorithm,lower bound,dominating set |
Field | DocType | Volume |
Approximation algorithm,Combinatorics,Mathematical optimization,Dominating set,Computer science,Bipartite graph,Hopcroft–Karp algorithm,Matching (graph theory),Local algorithm,Vertex cover,Distributed computing,Maximal independent set | Journal | abs/1002.0 |
Citations | PageRank | References |
6 | 0.69 | 10 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Matti Åstrand | 1 | 46 | 2.23 |
Valentin Polishchuk | 2 | 252 | 34.51 |
Joel Rybicki | 3 | 78 | 9.69 |
Jukka Suomela | 4 | 600 | 46.99 |
Jara Uitto | 5 | 107 | 17.08 |