arXiv · 1711.03178
R(QPS-Serena) and R(QPS-Serenade): Two Novel Augmenting-Path Based Algorithms for Computing Approximate Maximum Weight Matching
Abstract
In this addendum, we show that the switching algorithm QPS-SERENA can be converted R(QPS-SERENA), an algorithm for computing approximate Maximum Weight Matching (MWM). Empirically, R(QPS-SERENA) computes $(1-\epsilon)$-MWM within linear time (with respect to the number of edges $N^2$) for any fixed $\epsilon\in (0,1)$, for complete bipartite graphs with {\it i.i.d.} uniform edge weight distributions. This efficacy matches that of the state-of-art solution, although we so far cannot prove any theoretical guarantees on the time complexities needed to attain a certain approximation ratio. Then, we have similarly converted QPS-SERENADE to R(QPS-SERENADE), which empirically should output $(1-\epsilon)$-MWM within only $O(N \log N)$ time for the same type of complete bipartite graphs as described above.
Explore related subjects
Keep this discovery
Long Gong, Jun, Xu. 2017-11-08. R(QPS-Serena) and R(QPS-Serenade): Two Novel Augmenting-Path Based Algorithms for Computing Approximate Maximum Weight Matching. https://arxiv.org/abs/1711.03178
Cite the original work for its findings. Save a collection to share your selection of sources.