Abstract

Given a connected graph G and a terminal set R⊆V(G), the Steiner tree problem (STREE) asks for a tree that includes all of R with at most r vertices from V(G)∖R, for some integer r≥0. It is known from (Garey et al., 1977) that STREE is NP-complete in general graphs. A Split graph is a graph which can be partitioned into a clique and an independent set. White et al. (1985) have established that STREE in split graphs is NP-complete. In this paper, we present an interesting dichotomy: we show that STREE on K1,4-free split graphs is polynomial-time solvable, whereas STREE on K1,5-free split graphs is NP-complete. We investigate K1,4-free and K1,3-free (also known as claw-free) split graphs from a structural perspective. Further, using our structural study, we present polynomial-time algorithms for STREE in K1,4-free and K1,3-free split graphs. Although, polynomial-time solvability of K1,3-free split graphs is implied from K1,4-free split graphs, we wish to highlight our structural observations on K1,3-free split graphs which may be of use in solving other combinatorial problems.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.