Fast, precise and dynamic distance queries

We present an approximate distance oracle for a point set S with n points and doubling dimension {\lambda}. For every {\epsilon}>0, the oracle supports (1+{\epsilon})-approximate distance queries in (universal) constant time, occupies space [{\epsilon}^{{-O({\lambda})}} + 2^{O({\lambda} log {\lambda})}]n, and can be constructed in [2^{{O({\lambda})}} log3 n + {\epsilon}^{{-O({\lambda})}} + 2^{O({\lambda} log {\lambda})}]n expected time. This improves upon the best previously known constructions, presented by Har-Peled and Mendel. Furthermore, the oracle can be made fully dynamic with expected O(1) query time and only 2^{{O({\lambda})}} log n + {\epsilon}^{{-O({\lambda})}} + 2^{O({\lambda} log {\lambda})} update time. This is the first fully dynamic (1+{\epsilon})-distance oracle.