Kernelization and Parameterized Complexity of Star Editing and Union Editing
نویسندگان
چکیده
The NP-hard Star Editing problem has as input a graph G = (V, E) with edges colored red and black and two positive integers k1 and k2, and determines whether one can recolor at most k1 black edges to red and at most k2 red edges to black, such that the resulting graph has an induced subgraph whose edge set is exactly the set of black edges. A generalization of Star Editing is Union Editing, which, given a hypergraph H with the vertices colored by red and black and two positive integers k1 and k2, determines whether one can recolor at most k1 black vertices to red and at most k2 red vertices to black, such that the set of red vertices becomes exactly the union of some hyperedges. Star Editing is equivalent to Union Editing when the maximum degree of H is bounded by 2. Both problems are NP-hard and have applications in chemical analytics. Damaschke and Molokov [WADS 2011] introduced another version of Star Editing, which has only one integer k in the input and asks for a solution of totally at most k recolorings, and proposed an O(k)-edge kernel for this new version. We improve this bound to O(k) and show that the O(k)-bound is basically tight. Moreover, we also derive a kernel with O((k1 + k2)) edges for Star Editing. Fixed-parameter intractability results are achieved for Star Editing parameterized by any one of k1 and k2. Finally, we extend and complete the parameterized complexity picture of Union Editing parameterized by k1 + k2.
منابع مشابه
Efficient Parameterized Preprocessing for Cluster Editing
In the Cluster Editing problem, a graph is to be changed to a disjoint union of cliques by at most k operations of edge insertion or edge deletion. Improving on the best previously known quadratic-size polynomial-time kernelization, we describe how a crown-type structural reduction rule can be used to obtain a 6k kernelization bound.
متن کاملCluster editing with locally bounded modifications
Given an undirected graph G = (V,E) and a nonnegative integer k, the NPhard Cluster Editing problem asks whether G can be transformed into a disjoint union of cliques by modifying at most k edges. In this work, we study how “local degree bounds” influence the complexity of Cluster Editing and of the related Cluster Deletion problem which allows only edge deletions. We show that even for graphs ...
متن کاملOn the complexity of multi-parameterized cluster editing
The Cluster Editing problem seeks a transformation of a given undirected graph into a disjoint union of cliques via a minimum number of edge additions or deletions. A multi-parameterized version of the problem is studied, featuring a number of input parameters that bound the amount of both edge-additions and deletions per single vertex, as well as the size of a clique-cluster. We show that the ...
متن کاملEditing Graphs Into Few Cliques: Complexity, Approximation, and Kernelization Schemes
Given an undirected graph G and a positive integer k, the NP-hard Sparse Split Graph Editing problem asks to transform G into a graph that consists of a clique plus isolated vertices by performing at most k edge insertions and deletions; similarly, the P3-Bag Editing problem asks to transform G into a graph which is the union of two possibly overlapping cliques. We give a simple linear-time 3-a...
متن کاملParameterized 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...
متن کامل