// Copyright ©2014 The gonum Authors. All rights reserved. // Use of this source code is governed by a BSD-style // license that can be found in the LICENSE file. package path import ( "container/heap" "math" "sort" "gonum.org/v1/gonum/graph" "gonum.org/v1/gonum/graph/simple" ) // UndirectedWeighter is an undirected graph that returns edge weights. type UndirectedWeighter interface { graph.Undirected graph.Weighter } // Prim generates a minimum spanning tree of g by greedy tree extension, placing // the result in the destination, dst. If the edge weights of g are distinct // it will be the unique minimum spanning tree of g. The destination is not cleared // first. The weight of the minimum spanning tree is returned. If g is not connected, // a minimum spanning forest will be constructed in dst and the sum of minimum // spanning tree weights will be returned. func Prim(dst graph.UndirectedBuilder, g UndirectedWeighter) float64 { nodes := g.Nodes() if len(nodes) == 0 { return 0 } q := &primQueue{ indexOf: make(map[int]int, len(nodes)-1), nodes: make([]simple.Edge, 0, len(nodes)-1), } for _, u := range nodes[1:] { heap.Push(q, simple.Edge{F: u, W: math.Inf(1)}) } u := nodes[0] for _, v := range g.From(u) { w, ok := g.Weight(u, v) if !ok { panic("prim: unexpected invalid weight") } q.update(v, u, w) } var w float64 for q.Len() > 0 { e := heap.Pop(q).(simple.Edge) if e.To() != nil && g.HasEdgeBetween(e.From(), e.To()) { dst.SetEdge(e) w += e.Weight() } u = e.From() for _, n := range g.From(u) { if key, ok := q.key(n); ok { w, ok := g.Weight(u, n) if !ok { panic("prim: unexpected invalid weight") } if w < key { q.update(n, u, w) } } } } return w } // primQueue is a Prim's priority queue. The priority queue is a // queue of edge From nodes keyed on the minimum edge weight to // a node in the set of nodes already connected to the minimum // spanning forest. type primQueue struct { indexOf map[int]int nodes []simple.Edge } func (q *primQueue) Less(i, j int) bool { return q.nodes[i].Weight() < q.nodes[j].Weight() } func (q *primQueue) Swap(i, j int) { q.indexOf[q.nodes[i].From().ID()] = j q.indexOf[q.nodes[j].From().ID()] = i q.nodes[i], q.nodes[j] = q.nodes[j], q.nodes[i] } func (q *primQueue) Len() int { return len(q.nodes) } func (q *primQueue) Push(x interface{}) { n := x.(simple.Edge) q.indexOf[n.From().ID()] = len(q.nodes) q.nodes = append(q.nodes, n) } func (q *primQueue) Pop() interface{} { n := q.nodes[len(q.nodes)-1] q.nodes = q.nodes[:len(q.nodes)-1] delete(q.indexOf, n.From().ID()) return n } // key returns the key for the node u and whether the node is // in the queue. If the node is not in the queue, key is returned // as +Inf. func (q *primQueue) key(u graph.Node) (key float64, ok bool) { i, ok := q.indexOf[u.ID()] if !ok { return math.Inf(1), false } return q.nodes[i].Weight(), ok } // update updates u's position in the queue with the new closest // MST-connected neighbour, v, and the key weight between u and v. func (q *primQueue) update(u, v graph.Node, key float64) { id := u.ID() i, ok := q.indexOf[id] if !ok { return } q.nodes[i].T = v q.nodes[i].W = key heap.Fix(q, i) } // UndirectedWeightLister is an undirected graph that returns edge weights and // the set of edges in the graph. type UndirectedWeightLister interface { UndirectedWeighter Edges() []graph.Edge } // Kruskal generates a minimum spanning tree of g by greedy tree coalescence, placing // the result in the destination, dst. If the edge weights of g are distinct // it will be the unique minimum spanning tree of g. The destination is not cleared // first. The weight of the minimum spanning tree is returned. If g is not connected, // a minimum spanning forest will be constructed in dst and the sum of minimum // spanning tree weights will be returned. func Kruskal(dst graph.UndirectedBuilder, g UndirectedWeightLister) float64 { edges := g.Edges() ascend := make([]simple.Edge, 0, len(edges)) for _, e := range edges { u := e.From() v := e.To() w, ok := g.Weight(u, v) if !ok { panic("kruskal: unexpected invalid weight") } ascend = append(ascend, simple.Edge{F: u, T: v, W: w}) } sort.Sort(byWeight(ascend)) ds := newDisjointSet() for _, node := range g.Nodes() { ds.makeSet(node.ID()) } var w float64 for _, e := range ascend { if s1, s2 := ds.find(e.From().ID()), ds.find(e.To().ID()); s1 != s2 { ds.union(s1, s2) dst.SetEdge(e) w += e.Weight() } } return w } type byWeight []simple.Edge func (e byWeight) Len() int { return len(e) } func (e byWeight) Less(i, j int) bool { return e[i].Weight() < e[j].Weight() } func (e byWeight) Swap(i, j int) { e[i], e[j] = e[j], e[i] }