Global optimization techniques for multiplicative and fractional programming probl...
Optimality conditions in calculus of variations in the non-smooth context
Full text | |
Author(s): |
Moura, Phablo F. S.
;
Wakabayashi, Yoshiko
Total Authors: 2
|
Document type: | Journal article |
Source: | DISCRETE APPLIED MATHEMATICS; v. 281, p. 9-pg., 2020-07-15. |
Abstract | |
A coloring of the vertices of a connected graph is r-convex if each color class induces a subgraph with at most r components. We address the r-convex recoloring problem defined as follows. Given a graph G and a coloring of its vertices, recolor a minimum number of vertices of G so that the resulting coloring is r-convex. This problem, known to be NP-hard even on paths, was firstly investigated on trees and for r = 1, motivated by applications on perfect phylogenies. The more general concept of r-convexity, for r >= 2, was proposed later, and it is also of interest in the study of protein-protein interaction networks and phylogenetic networks. In this work, we show that, for each r is an element of N, the r-convex recoloring problem on n-vertex bipartite graphs cannot be approximated within a factor of n(1-epsilon) for any epsilon > 0, unless P = NP. We also provide strong hardness results for weighted and parameterized versions of the problem. (c) 2019 Elsevier B.V. All rights reserved. (AU) | |
FAPESP's process: | 16/21250-3 - Algorithmic and structural aspects of Covering and Packing problems on graphs |
Grantee: | Phablo Fernando Soares Moura |
Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
FAPESP's process: | 15/11937-9 - Investigation of hard problems from the algorithmic and structural stand points |
Grantee: | Flávio Keidi Miyazawa |
Support Opportunities: | Research Projects - Thematic Grants |
FAPESP's process: | 17/22611-2 - Algorithmic and structural aspects of covering and packing problems on graphs |
Grantee: | Phablo Fernando Soares Moura |
Support Opportunities: | Scholarships abroad - Research Internship - Post-doctor |