R(QPS-Serena) and R(QPS-Serenade): Two Novel Augmenting-Path Based Algorithms for Computing Approximate Maximum Weight Matching
Data Structures and Algorithms
2017-11-10 v1 Distributed, Parallel, and Cluster Computing
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 -MWM within linear time (with respect to the number of edges ) for any fixed , 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 -MWM within only time for the same type of complete bipartite graphs as described above.
Keywords
Cite
@article{arxiv.1711.03178,
title = {R(QPS-Serena) and R(QPS-Serenade): Two Novel Augmenting-Path Based Algorithms for Computing Approximate Maximum Weight Matching},
author = {Long Gong and Jun and Xu},
journal= {arXiv preprint arXiv:1711.03178},
year = {2017}
}