Vertex Cover is one of the most well studied problems in the realm of parameterized algorithms and admits a kernel with O(l^2) edges and 2*l vertices. Here, l denotes the size of a vertex cover we are seeking for. A natural question is whether Vertex Cover admits a polynomial kernel (or a parameterized algorithm) with respect to a parameter k, that is, provably smaller than the size of the vertex cover. Jansen and Bodlaender [STACS 2011, TOCS 2013] raised this question and gave a kernel for Vertex Cover of size O(f^3), where f is the size of a feedback vertex set of the input graph. We continue this line of work and study Vertex Cover with respect to a parameter that is always smaller than the solution size and incomparable to the size of t...
We investigate the following above-guarantee parameterization of the classical Vertex Cover problem:...
In Maximum k-Vertex Cover (Max k-VC), the input is an edge-weighted graph G and an integer k, and th...
Vertex Cover parameterized by the solution size k is the quintessential fixed-parameter tractable pr...
Kernelization is a concept that enables the formal mathematical analysis of data reduction through t...
In the NP-complete problem Vertex Cover, one is given a graph G and an integer k and are asked wheth...
We are pleased to dedicate this survey on kernelization of the Vertex Cover problem, to Professor Ju...
In the Maximum Minimal Vertex Cover (MMVC) problem, we are given a graph G and a positive integer k,...
We study the kernelization complexity of structural parameterizations of the Vertex Cover problem. H...
We study the kernelization complexity of structural parameterizations of the Vertex Cover problem. H...
25 pages, 10 figures. Appeared in volume 11011 of LNCS, pages 330-356, see Reference [29] in the tex...
In the NP-hard Edge Dominating Set problem (EDS) we are given a graph G=(V,E) and an integer k, and ...
In the last years, kernelization with structural parameters has been an active area of research with...
We prove a number of results around kernelization of problems parameterized by the size of a given v...
We investigate the parameterized complexity of Vertex Cover parameterized above the optimum value of...
The Vertex Cover problem plays an essential role in the study of polynomial kernelization in paramet...
We investigate the following above-guarantee parameterization of the classical Vertex Cover problem:...
In Maximum k-Vertex Cover (Max k-VC), the input is an edge-weighted graph G and an integer k, and th...
Vertex Cover parameterized by the solution size k is the quintessential fixed-parameter tractable pr...
Kernelization is a concept that enables the formal mathematical analysis of data reduction through t...
In the NP-complete problem Vertex Cover, one is given a graph G and an integer k and are asked wheth...
We are pleased to dedicate this survey on kernelization of the Vertex Cover problem, to Professor Ju...
In the Maximum Minimal Vertex Cover (MMVC) problem, we are given a graph G and a positive integer k,...
We study the kernelization complexity of structural parameterizations of the Vertex Cover problem. H...
We study the kernelization complexity of structural parameterizations of the Vertex Cover problem. H...
25 pages, 10 figures. Appeared in volume 11011 of LNCS, pages 330-356, see Reference [29] in the tex...
In the NP-hard Edge Dominating Set problem (EDS) we are given a graph G=(V,E) and an integer k, and ...
In the last years, kernelization with structural parameters has been an active area of research with...
We prove a number of results around kernelization of problems parameterized by the size of a given v...
We investigate the parameterized complexity of Vertex Cover parameterized above the optimum value of...
The Vertex Cover problem plays an essential role in the study of polynomial kernelization in paramet...
We investigate the following above-guarantee parameterization of the classical Vertex Cover problem:...
In Maximum k-Vertex Cover (Max k-VC), the input is an edge-weighted graph G and an integer k, and th...
Vertex Cover parameterized by the solution size k is the quintessential fixed-parameter tractable pr...