Hardness and Algorithms for Rainbow Connectivity

Computer Science – Computational Complexity

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

An edge-colored graph G is rainbow connected if any two vertices are connected by a path whose edges have distinct colors. The rainbow connectivity of a connected graph G, denoted rc(G), is the smallest number of colors that are needed in order to make G rainbow connected. In addition to being a natural combinatorial problem, the rainbow connectivity problem is motivated by applications in cellular networks. In this paper we give the first proof that computing rc(G) is NP-Hard. In fact, we prove that it is already NP-Complete to decide if rc(G) = 2, and also that it is NP-Complete to decide whether a given edge-colored (with an unbounded number of colors) graph is rainbow connected. On the positive side, we prove that for every $\epsilon$ > 0, a connected graph with minimum degree at least $\epsilon n$ has bounded rainbow connectivity, where the bound depends only on $\epsilon$, and the corresponding coloring can be constructed in polynomial time. Additional non-trivial upper bounds, as well as open problems and conjectures are also pre sented.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Hardness and Algorithms for Rainbow Connectivity does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Hardness and Algorithms for Rainbow Connectivity, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Hardness and Algorithms for Rainbow Connectivity will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-312175

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.