Working with Minimum Spanning Forest part11(Machine Learning 2024) – Monodeep Mukherjee


Faster Fully-Dynamic Minimum Spanning Forest

Authors: Jacob Holm, Eva Rotenberg, Christian Wulff-Nilsen

Abstract: We give a new data structure for the fully-dynamic minimum spanning forest problem in simple graphs. Edge updates are supported in O(log4n/loglogn) amortized time per operation, improving the O(log4n) amortized bound of Holm et al. (STOC’98, JACM’01). We assume the Word-RAM model with standard instructions.

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