Computing Best and Worst Shortcuts of Graphs Embedded in Metric Spaces

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Given a graph embedded in a metric space, its dilation is the maximum over all distinct pairs of vertices of the ratio between their distance in the graph and the metric distance between them. Given such a graph G with n vertices and m edges and consisting of at most two connected components, we consider the problem of augmenting G with an edge such that the resulting graph has minimum dilation. We show that we can find such an edge in O((n^4*log n)/m^{0.5}) time using linear space which solves an open problem of whether a linear-space algorithm with o(n^4) running time exists. We show that O(n^2*log n) time is achievable if G is a simple path or the union of two vertex-disjoint simple paths. Finally, we show how to find an edge that maximizes the dilation of the resulting graph in O(n^3) time with O(n^2) space and in O(n^3*log n) time with linear space.
Original languageEnglish
Title of host publicationAlgorithms and Computation : 19th International Symposium, ISAAC 2008, Gold Coast, Australia, December 15-17, 2008, Proceedings
EditorsSeok-Hee Hong, Hiroshi Nagamochi, Takuro Fukunaga
Number of pages12
PublisherSpringer
Publication date2008
Pages764-775
ISBN (Electronic)978-3-540-92181-3
DOIs
Publication statusPublished - 2008
EventInternational Symposium on Algorithms and Computation - Gold Coast, Australia
Duration: 15 Dec 200817 Dec 2008
Conference number: 19

Conference

ConferenceInternational Symposium on Algorithms and Computation
Nummer19
LandAustralia
ByGold Coast
Periode15/12/200817/12/2008
SeriesLecture notes in computer science
Number5369
ISSN0302-9743

ID: 9617006