The size of bipartite graphs with a given girth
Journal of Combinatorial Theory Series B
Node-and edge-deletion NP-complete problems
STOC '78 Proceedings of the tenth annual ACM symposium on Theory of computing
Maximum cuts and judicious partitions in graphs without short cycles
Journal of Combinatorial Theory Series B
Polynomial-time data reduction for dominating set
Journal of the ACM (JACM)
Finding next-to-shortest paths in a graph
Information Processing Letters
Invitation to data reduction and problem kernelization
ACM SIGACT News
Algorithmica - Parameterized and Exact Algorithms
Approximating Maximum Subgraphs without Short Cycles
APPROX '08 / RANDOM '08 Proceedings of the 11th international workshop, APPROX 2008, and 12th international workshop, RANDOM 2008 on Approximation, Randomization and Combinatorial Optimization: Algorithms and Techniques
Equitable list colorings of planar graphs without short cycles
Theoretical Computer Science
FOCS '09 Proceedings of the 2009 50th Annual IEEE Symposium on Foundations of Computer Science
Kernelization for cycle transversal problems
AAIM'10 Proceedings of the 6th international conference on Algorithmic aspects in information and management
Linear problem kernels for NP-hard problems on planar graphs
ICALP'07 Proceedings of the 34th international conference on Automata, Languages and Programming
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We consider the problem of finding a k-edge transversal set that intersects all (simple) cycles of length at most s in a planar graph, where s ≥ 3 is a constant. This problem, referred to as SMALL CYCLE TRANSVERSAL, is known to be NP-complete. We present a polynomial-time algorithm that computes a kernel of size 36s3k for SMALL CYCLE TRANSVERSAL. In order to achieve this kernel, we extend the region decomposition technique of Alber et al. [J. ACM, 2004] by considering a unique region decomposition that is defined by shortest paths. Our kernel size is an exponential improvement in terms of s over the kernel size obtained under the meta-kernelization framework by Bodlaender et al. [FOCS, 2009].