Title :
An inverse-Ackermann style lower bound for the online minimum spanning tree verification problem
Author_Institution :
Dept. of Comput. Sci., Texas Univ., Austin, TX, USA
Abstract :
We consider the problem of preprocessing an edge-weighted tree T in order to quickly answer queries of the following type: does a given edge e belong in the minimum spanning tree of T ∪ {e}? Whereas the offline minimum spanning tree verification problem admits a lovely linear time solution, we demonstrate an inherent inverse-Ackermann type tradeoff in the online MST verification problem. In particular, any scheme that answers queries in t comparisons must invest Ω(n log λt (n)) time preprocessing the tree, where λt is the inverse of the tth row of Ackermann´s function. This implies a query lower bound of Ω(α(n)) for the case of linear preprocessing time. We also show that our lower bound is tight to within a factor of 2 in the t parameter.
Keywords :
computational complexity; computational geometry; tree data structures; edge weighted tree; inverse-Ackermann style lower bound; linear time solution; online minimum spanning tree verification; preprocessing; query lower bound; Computer science; Data structures; Decision trees; Tree data structures;
Conference_Titel :
Foundations of Computer Science, 2002. Proceedings. The 43rd Annual IEEE Symposium on
Print_ISBN :
0-7695-1822-2
DOI :
10.1109/SFCS.2002.1181892