A Turing kernelization dichotomy for structural parameterizations of \(\mathcal{F} \)-minor-free deletion
DOI10.1016/j.jcss.2021.02.005zbMath1482.68110OpenAlexW4253478214MaRDI QIDQ2662677
Bart M. P. Jansen, Huib Donkers
Publication date: 14 April 2021
Published in: Journal of Computer and System Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jcss.2021.02.005
parameterized complexityTuring kernelizationkernelizationhardness of kernelizationparamterized algorithms
Extremal problems in graph theory (05C35) Graph theory (including graph drawing) in computer science (68R10) Parameterized complexity, tractability and kernelization (68Q27)
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Cites Work
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- Vertex cover kernelization revisited. Upper and lower bounds for a refined parameter
- Preprocessing subgraph and minor problems: when does a small vertex cover help?
- Two-layer planarization parameterized by feedback edge set
- Data reduction for graph coloring problems
- Infeasibility of instance compression and succinct PCPs for NP
- Graph minors. XX: Wagner's conjecture
- Turing kernelization for finding long paths and cycles in restricted graph classes
- A cubic kernel for feedback vertex set and loop cutset
- The node-deletion problem for hereditary properties is NP-complete
- A partial k-arboretum of graphs with bounded treewidth
- Combinatorial optimization. Polyhedra and efficiency (3 volumes)
- Graph minors. XIII: The disjoint paths problem
- Polynomial kernels for hitting forbidden minors under structural parameterizations
- Turing kernelization for finding long paths in graph classes excluding a topological minor
- How much does a treedepth modulator help to obtain polynomial kernels beyond sparse graphs?
- A completeness theory for polynomial (Turing) kernelization
- On the hardness of losing width
- Hitting Forbidden Minors: Approximation and Kernelization
- Kernelization – Preprocessing with a Guarantee
- Reflections on Multivariate Algorithmics and Problem Parameterization
- Kernel(s) for problems with no kernel
- Uniform Kernelization Complexity of Hitting Forbidden Minors
- Kernelization: New Upper and Lower Bound Techniques
- Feedback Vertex Set Inspired Kernel for Chordal Vertex Deletion
- Kernelization
- A 2-Approximation Algorithm for the Undirected Feedback Vertex Set Problem
- Compression via Matroids
- Parameterized and Exact Computation
- Satisfiability Allows No Nontrivial Sparsification unless the Polynomial-Time Hierarchy Collapses
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