We present fully dynamic algorithms for maintaining 3- and 5-spanners of undirected graphs under a sequence of update operations. For unweighted graphs we maintain a 3-spanner or a 5-spanner under insertions and deletions of edges; on a graph with n vertices each operation is performed in O(Δ) amortized time over a sequence of Ω(n) updates, where Δ is the maximum degree of the original graph. The maintained 3-spanner (resp., 5-spanner) has O(n 3/2) edges (resp., O(n 4/3) edges), which is known to be optimal. On weighted graphs with d different edge cost values, we maintain a 3- or 5-spanner within the same amortized time bounds over a sequence of Ω(d · n) updates. The maintained 3-spanner (resp., 5-spanner) has O(d · n 3/2) edges (resp., O(d · n 4/3) edges). The same approach can be extended to graphs with real-valued edge costs in the range [1,C]. All our algorithms are deterministic and are substantially faster than recomputing a spanner from scratch after each update.
Small stretch spanners on dynamic graphs / Ausiello, Giorgio; Franciosa, Paolo Giulio; Giuseppe F., Italiano. - In: JOURNAL OF GRAPH ALGORITHMS AND APPLICATIONS. - ISSN 1526-1719. - 10:2(2006), pp. 365-385. [10.7155/jgaa.00133]
Small stretch spanners on dynamic graphs
AUSIELLO, Giorgio;FRANCIOSA, Paolo Giulio;
2006
Abstract
We present fully dynamic algorithms for maintaining 3- and 5-spanners of undirected graphs under a sequence of update operations. For unweighted graphs we maintain a 3-spanner or a 5-spanner under insertions and deletions of edges; on a graph with n vertices each operation is performed in O(Δ) amortized time over a sequence of Ω(n) updates, where Δ is the maximum degree of the original graph. The maintained 3-spanner (resp., 5-spanner) has O(n 3/2) edges (resp., O(n 4/3) edges), which is known to be optimal. On weighted graphs with d different edge cost values, we maintain a 3- or 5-spanner within the same amortized time bounds over a sequence of Ω(d · n) updates. The maintained 3-spanner (resp., 5-spanner) has O(d · n 3/2) edges (resp., O(d · n 4/3) edges). The same approach can be extended to graphs with real-valued edge costs in the range [1,C]. All our algorithms are deterministic and are substantially faster than recomputing a spanner from scratch after each update.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.