Enhancement schemes for constraint processing: backjumping, learning, and cutset decomposition
Artificial Intelligence
SODA '94 Proceedings of the fifth annual ACM-SIAM symposium on Discrete algorithms
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Node-and edge-deletion NP-complete problems
STOC '78 Proceedings of the tenth annual ACM symposium on Theory of computing
Faster fixed parameter tractable algorithms for finding feedback vertex sets
ACM Transactions on Algorithms (TALG)
A 4k2 kernel for feedback vertex set
ACM Transactions on Algorithms (TALG)
FOCS '09 Proceedings of the 2009 50th Annual IEEE Symposium on Foundations of Computer Science
A cubic kernel for feedback vertex set
STACS'07 Proceedings of the 24th annual conference on Theoretical aspects of computer science
A linear kernel for planar feedback vertex set
IWPEC'08 Proceedings of the 3rd international conference on Parameterized and exact computation
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
An O(2O(k)n3) FPT algorithm for the undirected feedback vertex set problem*
COCOON'05 Proceedings of the 11th annual international conference on Computing and Combinatorics
Improved fixed-parameter algorithms for two feedback set problems
WADS'05 Proceedings of the 9th international conference on Algorithms and Data Structures
The undirected feedback vertex set problem has a poly(k) kernel
IWPEC'06 Proceedings of the Second international conference on Parameterized and Exact Computation
Improved algorithms for the feedback vertex set problems
WADS'07 Proceedings of the 10th international conference on Algorithms and Data Structures
Parameterized Complexity
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We consider the parameterized Feedback Vertex Set problem on unweighted, undirected planar graphs. We present a kernelization algorithm that takes a planar graph G and an integer k as input and either decides that (G,k) is a no instance or produces an equivalent (kernel) instance (G′,k′) such that k′≤k and |V(G′)|k. In addition to the improved kernel bound (from 112k to 97k), our algorithm features simple linear-time reduction procedures that can be applied to the general Feedback Vertex Set problem.