\name{mstree.kruskal} \alias{mstree.kruskal} %- Also NEED an `\alias' for EACH other topic documented here. \title{ Kruskal's minimum spanning tree in boost } \description{ compute the minimum spanning tree (MST) for a graph and return a representation in matrices } \usage{ mstree.kruskal(x) } %- maybe also `usage' for other objects documented here. \arguments{ \item{x}{ instance of class graph } } \details{ calls to kruskal minimum spanning tree algorithm of Boost graph library } \value{ a list \item{edgeList}{a matrix m of dimension 2 by number of edges in the MST, with m[i,j] the jth node in edge i} \item{weights}{a vector of edge weights corresponding to the columns of \code{edgeList}} \item{nodes}{the vector of nodes of the input graph \code{x}} } \references{ Boost Graph Library ( www.boost.org/libs/graph/doc/index.html ) The Boost Graph Library: User Guide and Reference Manual; by Jeremy G. Siek, Lie-Quan Lee, and Andrew Lumsdaine; (Addison-Wesley, Pearson Education Inc., 2002), xxiv+321pp. ISBN 0-201-72914-8 } \author{ VJ Carey } \seealso{\code{\link{prim.minST}}} \examples{ con1 <- file(system.file("XML/kmstEx.gxl",package="RBGL"), open="r") km <- fromGXL(con1) close(con1) mstree.kruskal(km) edgeData(km, "B", "D", "weight") <- 1.1 edgeData(km, "B", "E", "weight") <- .95 mstree.kruskal(km) con2 <- file(system.file("XML/telenet.gxl",package="RBGL"), open="r") km2 <- fromGXL(con2) close(con2) m <- mstree.kruskal(km2) print(sum(m[[2]])) } \keyword{ graphs }% at least one, from doc/KEYWORDS