Title :
Distance Oracles beyond the Thorup-Zwick Bound
Author :
Mihai Patrascu;Liam Roditty
Abstract :
We give the first improvement to the space/approximation trade-off of distance oracles since the seminal result of Thorup and Zwick [STOC´01]. For unweighted graphs, our distance oracle has size $O(n^{5/3}) = O(n^{1.66\cdots})$ and, when queried about vertices at distance $d$, returns a path of length $2d+1$. For weighted graphs with $m=n^2/\alpha$ edges, our distance oracle has size $O(n^2 / \sqrt[3]{\alpha})$ and returns a factor 2 approximation. Based on a plausible conjecture about the hardness of set intersection queries, we show that a 2-approximate distance oracle requires space $\tOmega(n^2 / \sqrt{\alpha})$. For unweighted graphs, this implies a $\tOmega(n^{1.5})$ space lower bound to achieve approximation $2d+1$.
Keywords :
"Approximation methods","Additives","Artificial neural networks","Data structures","Upper bound","Silicon","Algorithm design and analysis"
Conference_Titel :
Foundations of Computer Science (FOCS), 2010 51st Annual IEEE Symposium on
Print_ISBN :
978-1-4244-8525-3
DOI :
10.1109/FOCS.2010.83