allShortestPaths | R Documentation |
allShortestPaths
finds all shortest paths in a directed (or
undirected) graph using Floyd's algorithm. extractPath
can be
used to actually extract the path between a given pair of nodes.
allShortestPaths(x)
extractPath(obj, start, end)
x |
matrix or distance object |
obj |
return value of |
start |
integer, starting point of path |
end |
integer, end point of path |
If x
is a matrix, then x[i,j]
has to be the length of the
direct path from point i
to point j
. If no direct
connection from point i
to point j
exist, then
x[i,j]
should be either NA
or Inf
. Note that the
graph can be directed, hence x[i,j]
need not be the same as
x[j,i]
. The main diagonal of x
is ignored.
Alternatively, x
can be a distance object as returned by
dist
(corresponding to an undirected graph).
allShortestPaths
returns a list with components
length |
A matrix with the total lengths of the shortest path between each pair of points. |
middlePoints |
A matrix giving a point in the middle of each
shortest path (or 0 if the direct connection is the shortest path),
this is mainly used as input for |
extractPath
returns a vector of node numbers giving with the
shortest path between two points.
Friedrich Leisch
Kumar, V., Grama, A., Gupta, A. and Karypis, G. Introduction to Parallel Programming - Design and Analysis of Algorithms, Benjamin Cummings Publishing, 1994, ISBN 0-8053-3170-0
## build a graph with 5 nodes
x <- matrix(NA, 5, 5)
diag(x) <- 0
x[1,2] <- 30; x[1,3] <- 10
x[2,4] <- 70; x[2,5] <- 40
x[3,4] <- 50; x[3,5] <- 20
x[4,5] <- 60
x[5,4] <- 10
print(x)
## compute all path lengths
z <- allShortestPaths(x)
print(z)
## the following should give 1 -> 3 -> 5 -> 4
extractPath(z, 1, 4)
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