Kernelization and parameterized complexity of star editing and union editing

0Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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 k 2, 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(k3)-edge kernel for this new version. We improve this bound to O(k2) and show that the O(k2)-bound is basically tight. Moreover, we also derive a kernel with O((k1 + k2)2) 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. © Springer-Verlag 2012.

Cite

CITATION STYLE

APA

Guo, J., & Shrestha, Y. R. (2012). Kernelization and parameterized complexity of star editing and union editing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7676 LNCS, pp. 126–135). https://doi.org/10.1007/978-3-642-35261-4_16

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free