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cs.CC2020

Sparsification Lower Bounds for List -Coloring

Hubie Chen, Bart M. P. Jansen, Karolina Okrasa +2

We investigate the List -Coloring problem, the generalization of graph coloring that asks whether an input graph admits a homomorphism to the undirected graph (possibly…

cs.CC2019

Elimination Distances, Blocking Sets, and Kernels for Vertex Cover

Eva-Maria C. Hols, Stefan Kratsch, Astrid Pieterse

The Vertex Cover problem plays an essential role in the study of polynomial kernelization in parameterized complexity, i.e., the study of provable and efficient preprocessing for N…

cs.CC2019

Parameterized Complexity of Conflict-free Graph Coloring

Hans L. Bodlaender, Sudeshna Kolay, Astrid Pieterse

Given a graph G, a q-open neighborhood conflict-free coloring or q-ONCF-coloring is a vertex coloring such that for each vertex t…

cs.CC2018

Best-case and Worst-case Sparsifiability of Boolean CSPs

Hubie Chen, Bart M. P. Jansen, Astrid Pieterse

We continue the investigation of polynomial-time sparsification for NP-complete Boolean Constraint Satisfaction Problems (CSPs). The goal in sparsification is to reduce the number…

cs.CC2018

Polynomial Kernels for Hitting Forbidden Minors under Structural Parameterizations

Bart M. P. Jansen, Astrid Pieterse

We investigate polynomial-time preprocessing for the problem of hitting forbidden minors in a graph, using the framework of kernelization. For a fixed finite set of connected graph…

cs.CC2018

Optimal Data Reduction for Graph Coloring Using Low-Degree Polynomials

Bart M. P. Jansen, Astrid Pieterse

The theory of kernelization can be used to rigorously analyze data reduction for graph coloring problems. Here, the aim is to reduce a q-Coloring input to an equivalent but smaller…