Into the Square: On the Complexity of Some Quadratic-time Solvable Problems - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue Electronic Notes in Theoretical Computer Science Année : 2016

Into the Square: On the Complexity of Some Quadratic-time Solvable Problems

Résumé

We analyze several quadratic-time solvable problems, and we show that these problems are not solvable in truly subquadratic time (that is, in time O(n2−ϵ) for some ϵ>0), unless the well known Strong Exponential Time Hypothesis (in short, SETH) is false. In particular, we start from an artificial quadratic-time solvable variation of the k-Sat problem (already introduced and used in the literature) and we will construct a web of Karp reductions, proving that a truly subquadratic-time algorithm for any of the problems in the web falsifies SETH. Some of these results were already known, while others are, as far as we know, new. The new problems considered are: computing the betweenness centrality of a vertex (the same result was proved independently by Abboud et al.), computing the minimum closeness centrality in a graph, computing the hyperbolicity of a graph, and computing the subset graph of a collection of sets. On the other hand, we will show that testing if a directed graph is transitive and testing if a graph is a comparability graph are subquadratic-time solvable (our algorithm is practical, since it is not based on intricate matrix multiplication algorithms).
Fichier principal
Vignette du fichier
IntoTheSquare.pdf (275.21 Ko) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01390131 , version 1 (10-11-2016)

Licence

Identifiants

Citer

Michele Borassi, Pierluigi Crescenzi, Michel Habib. Into the Square: On the Complexity of Some Quadratic-time Solvable Problems. Electronic Notes in Theoretical Computer Science, 2016, 322, pp.51-67. ⟨10.1016/j.entcs.2016.03.005⟩. ⟨hal-01390131⟩
278 Consultations
218 Téléchargements

Altmetric

Partager

More