mstree.kruskal

Kruskal's minimum spanning tree in boost

compute the minimum spanning tree (MST) for a graph and return a representation in matrices

Keywords
graphs
Usage
mstree.kruskal(x)
Arguments
x
instance of class graph
Details

calls to kruskal minimum spanning tree algorithm of Boost graph library

Value

a list
edgeList
a matrix m of dimension 2 by number of edges in the MST, with m[i,j] the jth node in edge i
weights
a vector of edge weights corresponding to the columns of edgeList
nodes
the vector of nodes of the input graph 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

Aliases
  • mstree.kruskal
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]]))
Documentation reproduced from package RBGL, version 1.48.1, License: Artistic-2.0

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