Approximate Shortest Paths Avoiding a Failed Vertex: Near Optimal Data Structures for Undirected Unweighted Graphs

Approximate Shortest Paths Avoiding a Failed Vertex: Near Optimal Data Structures for Undirected Unweighted Graphs

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Article ID: iaor20132080
Volume: 66
Issue: 1
Start Page Number: 18
End Page Number: 50
Publication Date: May 2013
Journal: Algorithmica
Authors: ,
Keywords: combinatorial optimization, computers: data-structure
Abstract:

Let G=(V,E) be an undirected unweighted graph. A path between any two vertices u,vV is said to be t‐approximate shortest path if its length is at most t times the length of the shortest path between u and v. We address the problem of building a compact data structure which can efficiently answer the following query for any u,v,xV and t>1: Report t‐approximate shortest path between u and v when vertex x fails. We present data structures for the single source as well as all‐pairs versions of this problem. The query time guaranteed by our data structures is optimal up to a constant factor. Moreover, the size of each of them nearly matches the size of the corresponding data structure with no failures.

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