Near-linear time approximation schemes for Steiner tree and forest in low-dimensional spaces
Yair Bartal, Lee-Ad Gottlieb
2021Year
5Citations
5Top-tier citations
Abstract
We give an algorithm that computes a (1 + ε)-approximate Steiner forest in near-linear time . This is a dramatic improvement upon the best previous result due to Chan et al. [CHJ16], who gave a runtime of about For Steiner tree our methods achieve an even better runtime n(log n) (1/ε) O(ddim 2 ) in doubling spaces. For Euclidean space the runtime can be reduced to 2 (1/ε) O(d 2 ) n log n, improving upon the result of Arora [Aro98] in fixed dimension d.
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Install the CLIlune papers fulltext c8d2ea73-c404-4194-b957-c5c8a5b8f288Cited by top-tier papers5
- A Gap-ETH-Tight Approximation Scheme for Euclidean TSPSándor Kisfaludi-Bak, Jesper Nederlof, Karol WegrzyckiFOCS 2021 · 3 citations
- Novel Properties of Hierarchical Probabilistic Partitions and Their Algorithmic ApplicationsSandip Banerjee, Yair Bartal, Lee-Ad Gottlieb, Alon HovavFOCS 2024 · 1 citation
- On Approximability of Steiner Tree in ℓp-metricsHenry L. Fleischmann, Surya Teja Gavva, Karthik C. S.SODA 2024 · 1 citation
- Approximation Schemes for Subset TSP and Steiner Tree on Geometric Intersection GraphsSándor Kisfaludi-Bak, Dániel MarxSTOC 2026
- Randomized Dimensionality Reduction for Euclidean Maximization and Diversity MeasuresJie Gao, Rajesh Jayaram, Benedikt Kolbe, Shay Sapir et al.ICML 2025
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