Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

dag.sp

DAG shortest paths using boost C++

Description

Algorithm for the single-source shortest-paths problem on a weighted, directed acyclic graph (DAG)

Usage

dag.sp(g,start=nodes(g)[1])

Arguments

g

instance of class graph

start

source node for start of paths

Details

These functions are interfaces to the Boost graph library C++ routines for single-source shortest-paths on a weighted directed acyclic graph. Choose appropriate shortest-path algorithms carefully based on the properties of the input graph. See documentation in Boost Graph Library for more details.

Value

A list with elements:

distance

The vector of distances from start to each node of g; includes Inf when there is no path from start.
penult

A vector of indices (in nodes(g)) of predecessors corresponding to each node on the path from that node back to start. For example, if the element one of this vector has value 10, that means that the predecessor of node 1 is node 10. The next predecessor is found by examining penult[10].
start

The start node that was supplied in the call to dag.sp.

Author(s)

Li Long <li.long@isb-sib.ch>

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

See Also

Examples

con <- file(system.file("XML/conn2.gxl",package="RBGL"), open="r")
dd <- fromGXL(con)
close(con)
dag.sp(dd)
dag.sp(dd,nodes(dd)[2])
RBGL

An interface to the BOOST graph library

v1.66.0
Artistic-2.0
Authors
Vince Carey <stvjc@channing.harvard.edu>, Li Long <li.long@isb-sib.ch>, R. Gentleman
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.