Polynomial Kernels for Hitting Forbidden Minors under Structural Parameterizations.
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Publication:5009611
DOI10.4230/LIPIcs.ESA.2018.48OpenAlexW3043016546MaRDI QIDQ5009611
Bart M. P. Jansen, Astrid Pieterse
Publication date: 4 August 2021
Full work available at URL: https://doi.org/10.4230/LIPIcs.ESA.2018.48
Related Items (3)
Bridge-Depth Characterizes which Minor-Closed Structural Parameterizations of Vertex Cover Admit a Polynomial Kernel ⋮ Elimination Distances, Blocking Sets, and Kernels for Vertex Cover ⋮ Approximate Turing Kernelization for Problems Parameterized by Treewidth
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Kernelization using structural parameters on sparse graph classes
- Vertex cover kernelization revisited. Upper and lower bounds for a refined parameter
- Sparsity. Graphs, structures, and algorithms
- Infeasibility of instance compression and succinct PCPs for NP
- Graph minors. V. Excluding a planar graph
- Vertex Cover Structural Parameterization Revisited
- Uniform Kernelization Complexity of Hitting Forbidden Minors
- Vertex packings: Structural properties and algorithms
- On Space Efficiency of Algorithms Working on Structural Decompositions of Graphs.
- A Randomized Polynomial Kernelization for Vertex Cover with a Smaller Parameter
- Structural Parameterizations of Feedback Vertex Set
- Linear Kernels and Single-Exponential Algorithms Via Protrusion Decompositions
- Representative Sets and Irrelevant Vertices
- A Faster Parameterized Algorithm for Treedepth
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