Abstract :
Given a weighted undirected graph, our basic goal is to represent all pairwise distances using much less than quadratic space, such that we can estimate the distance between query vertices in constant time. We will study the inherent trade-off between space of the representation and the stretch (multiplicative approximation disallowing underestimates) of the estimates when the input graph is sparse with m = Õ(n) edges. In this paper, for any fixed positive integers k and ℓ, we obtain stretches = 2k + 1 ± 2/ℓ = 2k + 1 - 2/ℓ, 2k + 1 + 2/ℓ, using space S(α, m) = Õ(m1+2/(α+1)). The query time is O(k + ℓ) = O(1). For integer stretches, this coincides with the previous bounds (odd stretches with ℓ = 1 and even stretches with ℓ = 2). The infinity of fractional stretches between consecutive integers are all new (even though ℓ is fixed as a constant independent of the input, the number of integers ℓ is still countably infinite). We will argue that the new fractional points are not just arbitrary, but that they, at least for fixed stretches below 3, provide a complete picture of the inherent trade-off between stretch and space in m. Consider any fixed stretch α <; 3. Based on the hardness of set intersection, we argue that if ℓ is the largest integer such that 3-2/ℓ ≤ α, then Ω̃(S(3 - 2/ℓ, m)) space is needed for stretch . In particular, for fixed stretch below 22/3, we improve Patrascu and Roditty´s lower bound from Ω̃(m3/2) to Ω̃(m5/3), thus matching their upper bound for stretch 2. For space in terms of m, this is the first hardness matching the space of a non-trivial/sub-quadratic distance oracle.
Keywords :
"Data structures","Cost function","Upper bound","Approximation methods","Measurement","Silicon","Bismuth"