Dijkstra计算加权无向图的最短路径
2022/2/25 23:27:52
本文主要是介绍Dijkstra计算加权无向图的最短路径,对大家解决编程问题具有一定的参考价值,需要的程序猿们随着小编来一起学习吧!
【理论知识的,可以参考】
漫画:图的最短路径问题
最短路径算法
该算法得到的是单源最短路径,即起点到任意目标点的距离
【lua实现】
1 local Dijkstra = {} 2 Dijkstra.__index = Dijkstra 3 4 function Dijkstra.new(g) 5 local obj = {} 6 setmetatable(obj, Dijkstra) 7 8 obj:ctor(g) 9 return obj 10 end 11 12 function Dijkstra:ctor(g) 13 self.graph = g 14 self.startVertex = nil 15 self.visitFrom = {} --点之间的遍历关系, key:当前遍历点, value:上一个遍历点 16 self.distFromStart = {} --从起始点到该点的距离 17 end 18 19 function Dijkstra:IsReachable(endVertex) 20 return self.distFromStart[endVertex].dist < 9999 21 end 22 23 function Dijkstra:VisitAllReachable(startVertex) 24 self.startVertex = startVertex 25 self.visitFrom = {} 26 self.distFromStart = {} 27 28 for i=1,self.graph:GetVertexCount() do 29 local v = self.graph:GetVertex(i) 30 self.distFromStart[v] = { 31 dist = 9999, 32 used = false, 33 } 34 end 35 36 local distInfo = self.distFromStart[startVertex] 37 distInfo.dist = 0 38 distInfo.used = true 39 40 local v = startVertex 41 while true do 42 local adjList = self.graph:GetAdjacent(v) 43 for i=1,#adjList do 44 local adjVInfo = adjList[i] 45 local oldDist = self.distFromStart[adjVInfo.v].dist 46 local newDist = self.distFromStart[v].dist + adjVInfo.w 47 if newDist < oldDist then 48 self.distFromStart[adjVInfo.v].dist = newDist 49 self.visitFrom[adjVInfo.v] = v 50 end 51 end 52 53 --从距离最小的点继续往后遍历 54 --从ta开始过1次, 后面将不会再从ta开始 55 local minDistInfo = nil 56 local minV = nil 57 for i=1,self.graph:GetVertexCount() do 58 local v = self.graph:GetVertex(i) 59 local distInfo = self.distFromStart[v] 60 if not distInfo.used then 61 if nil == minDistInfo or distInfo.dist < minDistInfo.dist then 62 minDistInfo = distInfo 63 minV = v 64 end 65 end 66 end 67 if nil == minDistInfo then --所有都遍历过了 68 break 69 end 70 71 minDistInfo.used = true 72 v = minV 73 end 74 end 75 76 function Dijkstra:GetDist(endVertex) 77 return self.distFromStart[endVertex].dist 78 end 79 80 function Dijkstra:GetPath(endVertex) 81 if not self:IsReachable(endVertex) then return nil end 82 83 local pathQueue = {} 84 local v = endVertex 85 while v ~= self.startVertex do 86 table.insert(pathQueue, 1, v) 87 v = self.visitFrom[v] 88 end 89 table.insert(pathQueue, 1, v) 90 return pathQueue 91 end
计算下面这张图的最短路径:
1 function CreateGraph() 2 local g = WeightedGraph.new() 3 g:AddVertex("A") 4 g:AddVertex("B") 5 g:AddVertex("C") 6 g:AddVertex("D") 7 g:AddVertex("E") 8 g:AddVertex("F") 9 g:AddVertex("G") 10 11 g:AddEdge("A", "B", 5) 12 g:AddEdge("A", "C", 2) 13 g:AddEdge("B", "D", 1) 14 g:AddEdge("B", "E", 6) 15 g:AddEdge("C", "D", 6) 16 g:AddEdge("C", "F", 8) 17 g:AddEdge("D", "E", 1) 18 g:AddEdge("D", "F", 2) 19 g:AddEdge("E", "G", 7) 20 g:AddEdge("F", "G", 3) 21 22 --tostring(g) 23 return g 24 end 25 26 function Test1() 27 local g = CreateGraph() 28 local d = Dijkstra.new(g) 29 d:VisitAllReachable("A") 30 assert(d:IsReachable("B")) 31 assert(d:IsReachable("G")) 32 33 assert(5 == d:GetDist("B")) 34 assert(2 == d:GetDist("C")) 35 assert(6 == d:GetDist("D")) 36 assert(7 == d:GetDist("E")) 37 assert(8 == d:GetDist("F")) 38 assert(11 == d:GetDist("G")) 39 end 40 Test1()
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