RosettaCodeData/Task/Dijkstras-algorithm/Lua/dijkstras-algorithm.lua

68 lines
2.1 KiB
Lua

-- Graph definition
local edges = {
a = {b = 7, c = 9, f = 14},
b = {c = 10, d = 15},
c = {d = 11, f = 2},
d = {e = 6},
e = {f = 9}
}
-- Fill in paths in the opposite direction to the stated edges
function complete (graph)
for node, edges in pairs(graph) do
for edge, distance in pairs(edges) do
if not graph[edge] then graph[edge] = {} end
graph[edge][node] = distance
end
end
end
-- Create path string from table of previous nodes
function follow (trail, destination)
local path, nextStep = destination, trail[destination]
while nextStep do
path = nextStep .. " " .. path
nextStep = trail[nextStep]
end
return path
end
-- Find the shortest path between the current and destination nodes
function dijkstra (graph, current, destination, directed)
if not directed then complete(graph) end
local unvisited, distanceTo, trail = {}, {}, {}
local nearest, nextNode, tentative
for node, edgeDists in pairs(graph) do
if node == current then
distanceTo[node] = 0
trail[current] = false
else
distanceTo[node] = math.huge
unvisited[node] = true
end
end
repeat
nearest = math.huge
for neighbour, pathDist in pairs(graph[current]) do
if unvisited[neighbour] then
tentative = distanceTo[current] + pathDist
if tentative < distanceTo[neighbour] then
distanceTo[neighbour] = tentative
trail[neighbour] = current
end
if tentative < nearest then
nearest = tentative
nextNode = neighbour
end
end
end
unvisited[current] = false
current = nextNode
until unvisited[destination] == false or nearest == math.huge
return distanceTo[destination], follow(trail, destination)
end
-- Main procedure
print("Directed:", dijkstra(edges, "a", "e", true))
print("Undirected:", dijkstra(edges, "a", "e", false))