Algorithm 447: efficient algorithms for graph manipulation
Communications of the ACM
Parameterized Complexity Theory (Texts in Theoretical Computer Science. An EATCS Series)
Parameterized Complexity Theory (Texts in Theoretical Computer Science. An EATCS Series)
A quadratic kernel for feedback vertex set
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
Simpler Parameterized Algorithm for OCT
Combinatorial Algorithms
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms
Hitting diamonds and growing cacti
IPCO'10 Proceedings of the 14th international conference on Integer Programming and Combinatorial Optimization
Finding odd cycle transversals
Operations Research Letters
Parameterized Complexity
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We consider a decision version of the problem of finding the minimum number of vertices whose deletion results in a graph without even cycles. While this problem is a natural analogue of the Odd Cycle Transversal problem (which asks for a subset of vertices to delete to make the resulting graph bipartite), surprisingly this problem is not well studied. We first observe that this problem is NP-complete and give a constant factor approximation algorithm. Then we address the problem in parameterized complexity framework with the solution size k as a parameter. We give an algorithm running in time O*(2O(k)) for the problem and give an O(k2) vertex kernel. (We write O*(f(k)) for a time complexity of the form O(f(k)nO(1)), where f (k) grows exponentially with k.)