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
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.
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.
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