
A graph is said to be a Konig graph if the size of its maximum matching is equal to the size of its minimum vertex cover. The Konig Edge Deletion problem asks if in a given graph there exists a set of at most k edges whose deletion results in a Konig graph. While the vertex version of the problem (Konig vertex deletion) has been shown to be fixed-parameter tractable more than a decade ago, the fixed-parameter-tractability of the Konig Edge Deletion problem has been open since then, and has been conjectured to be W[1]-hard in several papers. In this paper, we settle the conjecture by proving it W[1]-hard. We prove that a variant of this problem, where we are given a graph G and a maximum matching M and we want a k-sized Konig edge deletion set that is disjoint from M, is fixed-parameter-tractable.
Accepted for publication in Theoretical Computer Science. Major revisions from the previous version were incorporated based on the comments from anonymous reviewers
König edge deletion, FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Parameterized complexity, tractability and kernelization, 68Q25, W-hardness, vertex cover, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), König graphs, Computer Science - Data Structures and Algorithms, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), Data Structures and Algorithms (cs.DS), parameterized complexity, Computer Science - Discrete Mathematics
König edge deletion, FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Parameterized complexity, tractability and kernelization, 68Q25, W-hardness, vertex cover, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), König graphs, Computer Science - Data Structures and Algorithms, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), Data Structures and Algorithms (cs.DS), parameterized complexity, Computer Science - Discrete Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
