Parameterized dynamic data structure for Split Completion
February 13, 2024 Β· Declared Dead Β· π Embedded Systems and Applications
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Authors
Konrad Majewski, MichaΕ Pilipczuk, Anna Zych-Pawlewicz
arXiv ID
2402.08816
Category
cs.DS: Data Structures & Algorithms
Citations
0
Venue
Embedded Systems and Applications
Last Checked
5 months ago
Abstract
We design a randomized data structure that, for a fully dynamic graph $G$ updated by edge insertions and deletions and integers $k, d$ fixed upon initialization, maintains the answer to the Split Completion problem: whether one can add $k$ edges to $G$ to obtain a split graph. The data structure can be initialized on an edgeless $n$-vertex graph in time $n \cdot (k d \cdot \log n)^{\mathcal{O}(1)}$, and the amortized time complexity of an update is $5^k \cdot (k d \cdot \log n)^{\mathcal{O}(1)}$. The answer provided by the data structure is correct with probability $1-\mathcal{O}(n^{-d})$.
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