Faster Fully-Dynamic Minimum Spanning Forest
Jacob Holm, Eva Rotenberg, Christian Wulff-Nilsen

TL;DR
This paper introduces a new data structure for the fully-dynamic minimum spanning forest problem that improves update times in simple graphs, achieving faster amortized performance than previous methods.
Contribution
It presents a novel data structure that reduces the amortized update time for fully-dynamic minimum spanning forests in simple graphs.
Findings
Supports edge updates in $O(rac{ ext{log}^4 n}{ ext{log} ext{log} n})$ amortized time
Improves upon the previous $O( ext{log}^4 n)$ bound by Holm et al.
Operates in the Word-RAM model with standard instructions.
Abstract
We give a new data structure for the fully-dynamic minimum spanning forest problem in simple graphs. Edge updates are supported in amortized time per operation, improving the amortized bound of Holm et al. (STOC'98, JACM'01). We assume the Word-RAM model with standard instructions.
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Optimization and Search Problems · Algorithms and Data Compression
