|
| 1 | +package greedy |
| 2 | + |
| 3 | +import ( |
| 4 | + "fmt" |
| 5 | + "sort" |
| 6 | +) |
| 7 | + |
| 8 | +const infinity = int(^uint(0) >> 1) |
| 9 | + |
| 10 | +//Node : Holds the information for each vertex |
| 11 | +type Node struct { |
| 12 | + Name string |
| 13 | +} |
| 14 | + |
| 15 | +// Edge holds information for each edge in the Graph |
| 16 | +type Edge struct { |
| 17 | + source *Node |
| 18 | + dest *Node |
| 19 | + cost int |
| 20 | +} |
| 21 | + |
| 22 | +// Graph holds the graph |
| 23 | +type Graph struct { |
| 24 | + Edges []*Edge |
| 25 | + Nodes map[*Node]bool |
| 26 | +} |
| 27 | + |
| 28 | +// AddNode : adds node in the graph |
| 29 | +func (g *Graph) AddNode(node *Node) { |
| 30 | + if g.Nodes == nil { |
| 31 | + g.Nodes = make(map[*Node]bool) |
| 32 | + } |
| 33 | + |
| 34 | + if _, ok := g.Nodes[node]; !ok { |
| 35 | + g.Nodes[node] = true |
| 36 | + } |
| 37 | +} |
| 38 | + |
| 39 | +// AddEdge : Adds edge in the graph |
| 40 | +func (g *Graph) AddEdge(src, dest *Node, cost int) { |
| 41 | + e := &Edge{ |
| 42 | + source: src, |
| 43 | + dest: dest, |
| 44 | + cost: cost, |
| 45 | + } |
| 46 | + g.Edges = append(g.Edges, e) |
| 47 | + g.AddNode(src) |
| 48 | + g.AddNode(dest) |
| 49 | +} |
| 50 | + |
| 51 | +// DijkstraGraphCreation : Starting point of Dijkstra Algo - Creates graph |
| 52 | +func DijkstraGraphCreation() map[*Node]int { |
| 53 | + a := &Node{"a"} |
| 54 | + b := &Node{"b"} |
| 55 | + c := &Node{"c"} |
| 56 | + d := &Node{"d"} |
| 57 | + e := &Node{"e"} |
| 58 | + f := &Node{"f"} |
| 59 | + g := &Node{"g"} |
| 60 | + |
| 61 | + graph := Graph{} |
| 62 | + graph.AddEdge(c, a, 4) |
| 63 | + graph.AddEdge(c, f, 6) |
| 64 | + graph.AddEdge(a, f, 5) |
| 65 | + graph.AddEdge(a, d, 7) |
| 66 | + graph.AddEdge(f, d, 2) |
| 67 | + graph.AddEdge(a, b, 2) |
| 68 | + graph.AddEdge(d, b, 6) |
| 69 | + graph.AddEdge(d, g, 6) |
| 70 | + graph.AddEdge(f, g, 6) |
| 71 | + graph.AddEdge(b, g, 8) |
| 72 | + graph.AddEdge(b, e, 3) |
| 73 | + graph.AddEdge(g, e, 7) |
| 74 | + |
| 75 | + costTable := graph.Dijkstra(a) |
| 76 | + for node, cost := range costTable { |
| 77 | + fmt.Printf("To reach destination[%v] from source[%v] = Cost[%d]", node, a, cost) |
| 78 | + } |
| 79 | + |
| 80 | + return costTable |
| 81 | + |
| 82 | +} |
| 83 | + |
| 84 | +// Dijkstra : Dijkstra Algorithm Implementation |
| 85 | +func (g *Graph) Dijkstra(source *Node) map[*Node]int { |
| 86 | + costTable := createCostTable(g.Nodes, source) |
| 87 | + var visited []*Node |
| 88 | + |
| 89 | + for len(visited) != len(g.Nodes) { |
| 90 | + node := g.getClosestNonVistedNode(costTable, visited) |
| 91 | + visited = append(visited, node) |
| 92 | + |
| 93 | + for _, edges := range g.Edges { |
| 94 | + if edges.source == node { |
| 95 | + neighborCost := costTable[node] + edges.cost |
| 96 | + costTable[edges.dest] = min(neighborCost, costTable[edges.dest]) |
| 97 | + } else if edges.dest == node { |
| 98 | + neighborCost := costTable[node] + edges.cost |
| 99 | + costTable[edges.source] = min(neighborCost, costTable[edges.source]) |
| 100 | + } |
| 101 | + } |
| 102 | + fmt.Printf("\nNode[%v] costTable:", node.Name) |
| 103 | + showCostTable(costTable) |
| 104 | + } |
| 105 | + return costTable |
| 106 | +} |
| 107 | + |
| 108 | +func showCostTable(costTable map[*Node]int) { |
| 109 | + for key, val := range costTable { |
| 110 | + fmt.Printf("\t Node[%v]-{%v} ", key.Name, val) |
| 111 | + } |
| 112 | +} |
| 113 | + |
| 114 | +func min(a, b int) int { |
| 115 | + if a < b { |
| 116 | + return a |
| 117 | + } |
| 118 | + return b |
| 119 | +} |
| 120 | + |
| 121 | +// getClosestNonVistedNode : creates a sorted cost table based on the non-vistied nodes and then returns the lowest cost node |
| 122 | +func (g *Graph) getClosestNonVistedNode(costTable map[*Node]int, visited []*Node) *Node { |
| 123 | + type costTableNode struct { |
| 124 | + node *Node |
| 125 | + cost int |
| 126 | + } |
| 127 | + |
| 128 | + var costTableToSort []costTableNode |
| 129 | + |
| 130 | + for node, cost := range costTable { |
| 131 | + isVisited := false |
| 132 | + for _, visitedNode := range visited { |
| 133 | + if node == visitedNode { |
| 134 | + isVisited = true |
| 135 | + } |
| 136 | + } |
| 137 | + |
| 138 | + if !isVisited { |
| 139 | + costTableToSort = append(costTableToSort, costTableNode{node, cost}) |
| 140 | + } |
| 141 | + } |
| 142 | + |
| 143 | + sort.Slice(costTableToSort, func(i, j int) bool { |
| 144 | + return costTableToSort[i].cost < costTableToSort[j].cost |
| 145 | + }) |
| 146 | + |
| 147 | + return costTableToSort[0].node |
| 148 | +} |
| 149 | + |
| 150 | +func createCostTable(nodes map[*Node]bool, source *Node) map[*Node]int { |
| 151 | + costTable := make(map[*Node]int) |
| 152 | + costTable[source] = 0 |
| 153 | + |
| 154 | + for key := range nodes { |
| 155 | + if key != source { |
| 156 | + costTable[key] = infinity |
| 157 | + } |
| 158 | + } |
| 159 | + return costTable |
| 160 | +} |
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