bellman.ford.sp
Bellman-Ford shortest paths using boost C++
Algorithm for the single-source shortest paths problem for a graph with both positive and negative edge weights.
- Keywords
- graphs
Usage
bellman.ford.sp(g,start=nodes(g)[1])Arguments
- g
- instance of class graph
- start
- character: node name for start of path
Details
This function interfaces to the Boost graph library C++ routines for Bellman-Ford shortest paths. Choose the appropriate algorithm to calculate the shortest path carefully based on the properties of the given graph. See documentation on Bellman-Ford algorithm in Boost Graph Library for more details.
Value
-
A list with elements:
- all edges minimized
- true if all edges are minimized, false otherwise.
- distance
- The vector of distances from
startto each node ofg; includesInfwhen there is no path fromstart. - penult
- A vector of indices
(in
nodes(g)) of predecessors corresponding to each node on the path from that node back tostart
. For example, if the
element one of this vector has value - start
- The start node that was supplied in the call to
bellman.ford.sp.
10, that means that the
predecessor of node 1 is node 10. The next predecessor is
found by examining penult[10].
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)
bellman.ford.sp(dd)
bellman.ford.sp(dd,nodes(dd)[2])
Community examples
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