2011
DOI: 10.1016/j.ipl.2011.04.009
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A factor 2 approximation algorithm for the vertex cover problem

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Cited by 67 publications
(30 citation statements)
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“…if G consists of two intersecting maximal cliques C 1 and C 2 then return the smaller of C 1 ∩ C 2 , C 1 \ C 2 , and C 1 \ C 2 ; 5. find all maximal strong modules of G and build Q(G); 6. if a maximal strong module M is not a clique then return APPROX-ASSO(G − N G [M])∪N G (M); 7. define a weighted graph Q, and call the algorithm of [20] with it;…”
Section: The Approximation Algorithmmentioning
confidence: 99%
“…if G consists of two intersecting maximal cliques C 1 and C 2 then return the smaller of C 1 ∩ C 2 , C 1 \ C 2 , and C 1 \ C 2 ; 5. find all maximal strong modules of G and build Q(G); 6. if a maximal strong module M is not a clique then return APPROX-ASSO(G − N G [M])∪N G (M); 7. define a weighted graph Q, and call the algorithm of [20] with it;…”
Section: The Approximation Algorithmmentioning
confidence: 99%
“…Tu and Zhou in [19] considered the vertex weighted version of the VCP k motivated by its applications in traffic control along with the aforementioned. In general, VCP k is known to be NP-complete, for k ≥ 2, [5,19]. Brešar et al [5] present a linear time algorithm for trees and investigate upper bounds on ψ k (G) in regular graphs.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, VCP 3 is APX-complete and Fujito's local ratio based algorithm [8] approximates VCP 3 within a factor of 2. In [19], the authors presented a primal-dual factor 2 approximation algorithm for VCP 3 , which is based on a new integer linear program formulation. Tu and Yang [18] give a 1.57-approximation to VCP 3 in cubic graphs.…”
Section: Introductionmentioning
confidence: 99%
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“…k-Path Transversal is motivated by applications in transportation / wireless sensor networks, and has also been actively studied as k-Path Vertex Cover or P k -Hitting Set [32,7,6,9,21] in terms of their approximability and fixed parameter tractability. Tu and Zhou [32] gave a 2-approximation algorithm for 3-Path Transversal. Camby [9] recently gave a 3-approximation algorithm for 4-Path Transversal.…”
mentioning
confidence: 99%