Near-Optimal Directed Euclidean Spanners in High Dimensions
Rajesh Jayaram, Shyamal Patel, Clifford Stein, Erik Waingarten, Tian Zhang
Abstract
For any є ∈ (0,1), we give a randomized algorithm which given n points in (d, ℓp) for p ∈ [1,2], constructs a directed graph using O(n2 − Ω(є)) edges in nearly-matching time, such that shortest path lengths approximate ℓp-distances up to a (1 + є)-factor. The graph uses non-metric Steiner nodes (known to be necessary) and improves upon the prior construction of Andoni and Zhang using O(n2−Ω(є2)) edges. We show that our construction is nearly-optimal by showing there exists a set of points in d where any (1+є)-approximate directed Steiner spanner must use Ω(n2 − O(є)) edges.
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