Parameterized Graph Cleaning Problems

Parameterized reductions and algorithms for a graph editing problem that generalizes vertex cover

We study a novel generalization of the Vertex Cover problem which is motivated by, e.g., error correction (data cleaning) prior to inference of chemical mixtures by their observable reaction products. We focus on the important case of deciding on one of two candidate substances. This problem has nice graph-theoretic formulations situated between Vertex Cover and 3-Hitting Set. In order to chara...

Graph Layout Problems Parameterized by Vertex Cover

In the framework of parameterized complexity, one of the most commonly used structural parameters is the treewidth of the input graph. The reason for this is that most natural graph problems turn out to be fixed parameter tractable when parameterized by treewidth. However, Graph Layout problems are a notable exception. In particular, no fixed parameter tractable algorithms are known for the Cut...

Towards Optimal FPT { Algorithmsfor Planar Graph Problems 52 EÆ ient Algorithms for Horizontal Gene Transfer Problems 63 Parameterized Problems

Fixed Parameter Complexity of Distance Constrained Labeling and Uniform Channel Assignment Problems - (Extended Abstract)

We study the complexity of a group of distance-constrained graph labeling problems when parameterized by the neighborhood diversity (nd), which is a natural graph parameter between vertex cover and clique width. Neighborhood diversity has been used to generalize and speed up FPT algorithms previously parameterized by vertex cover, as is also demonstrated by our paper. We show that the Uniform C...

Contributions to Parameterized Complexity

This thesis is presented in two parts. In Part One we concentrate on algorithmic aspects of parameterized complexity. We explore ways in which the concepts and algorithmic techniques of parameterized complexity can be fruitfully brought to bear on a (classically) well-studied problem area, that of scheduling problems modelled on partial orderings. We develop efficient and constructive algorithm...