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arxiv: 1207.3976 · v3 · pith:3PEN3CRCnew · submitted 2012-07-17 · 💻 cs.DS

Maintaining Approximate Maximum Weighted Matching in Fully Dynamic Graphs

classification 💻 cs.DS
keywords weightmatchingalgorithmedgemaximumapproximatedynamicexpected
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We present a fully dynamic algorithm for maintaining approximate maximum weight matching in general weighted graphs. The algorithm maintains a matching ${\cal M}$ whose weight is at least $1/8 M^{*}$ where $M^{*}$ is the weight of the maximum weight matching. The algorithm achieves an expected amortized $O(\log n \log \mathcal C)$ time per edge insertion or deletion, where $\mathcal C$ is the ratio of the weights of the highest weight edge to the smallest weight edge in the given graph. Using a simple randomized scaling technique, we are able to obtain a matching whith expected approximation ratio 4.9108.

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