Kernels for Packing and Covering Problems
Conference Paper
Overview
Research
Identity
Additional Document Info
Other
View All
Overview
abstract
We show how the notion of combinatorial duality, related to the well-known notion of duality from linear programming, may be used for translating kernel results obtained for packing problems into kernel results for covering problems. We exemplify this approach by having a closer look at the problems of packing a graph with vertex-disjoint trees with r edges. We also improve on the best known kernel size for packing graphs with trees containing two edges, which has been well studied. 2012 Springer-Verlag.