Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
The primal-dual method for approximation algorithms and its application to network design problems
Approximation algorithms for NP-hard problems
A 2-Approximation Algorithm for the Undirected Feedback Vertex Set Problem
SIAM Journal on Discrete Mathematics
Approximating Minimum Subset Feedback Sets in Undirected Graphs with Applications
SIAM Journal on Discrete Mathematics
Vertex cover might be hard to approximate to within 2-ε
Journal of Computer and System Sciences
Hitting and harvesting pumpkins
ESA'11 Proceedings of the 19th European conference on Algorithms
European Journal of Combinatorics
Parameterized algorithms for even cycle transversal
WG'12 Proceedings of the 38th international conference on Graph-Theoretic Concepts in Computer Science
Hi-index | 0.00 |
We consider the following NP-hard problem: in a weighted graph, find a minimum cost set of vertices whose removal leaves a graph in which no two cycles share an edge. We obtain a constant-factor approximation algorithm, based on the primal-dual method. Moreover, we show that the integrality gap of the natural LP relaxation of the problem is Θ(logn), where n denotes the number of vertices in the graph.