Computing multiway cut within the given excess over the largest minimum isolating cut

Computer Science – Data Structures and Algorithms

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Let $(G,T)$ be an instance of the (vertex) multiway cut problem where $G$ is a graph and $T$ is a set of terminals. For $t \in T$, a set of nonterminal vertices separating $t$ from $T \setminus \{T\}$ is called an \emph{isolating cut} of $t$. The largest among all the smallest isolating cuts is a natural lower bound for a multiway cut of $(G,T)$. Denote this lower bound by $m$ and let $k$ be an integer. In this paper we propose an $O(kn^{k+3})$ algorithm that computes a multiway cut of $(G,T)$ of size at most $m+k$ or reports that there is no such multiway cut. The core of the proposed algorithm is the following combinatorial result. Let $G$ be a graph and let $X,Y$ be two disjoint subsets of vertices of $G$. Let $m$ be the smallest size of a vertex $X-Y$ separator. Then, for the given integer $k$, the number of \emph{important} $X-Y$ separators \cite{MarxTCS} of size at most $m+k$ is at most $\sum_{i=0}^k{n \choose i}$.

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

Computing multiway cut within the given excess over the largest minimum isolating cut 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 Computing multiway cut within the given excess over the largest minimum isolating cut, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Computing multiway cut within the given excess over the largest minimum isolating cut will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-221267

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