programming-examples/java/Data_Structures/LazyPrimMST.java

 

import edu.princeton.cs.introcs.In;
import edu.princeton.cs.introcs.StdOut;

/*************************************************************************
 *  Compilation:  javac LazyPrimMST.java
 *  Execution:    java LazyPrimMST filename.txt
 *  Dependencies: EdgeWeightedGraph.java Edge.java Queue.java
 *                MinPQ.java UF.java In.java StdOut.java
 *  Data files:   http://algs4.cs.princeton.edu/43mst/tinyEWG.txt
 *                http://algs4.cs.princeton.edu/43mst/mediumEWG.txt
 *                http://algs4.cs.princeton.edu/43mst/largeEWG.txt
 *
 *  Compute a minimum spanning forest using a lazy version of Prim's 
 *  algorithm.
 *
 *  %  java LazyPrimMST tinyEWG.txt 
 *  0-7 0.16000
 *  1-7 0.19000
 *  0-2 0.26000
 *  2-3 0.17000
 *  5-7 0.28000
 *  4-5 0.35000
 *  6-2 0.40000
 *  1.81000
 *
 *  % java LazyPrimMST mediumEWG.txt
 *  0-225   0.02383
 *  49-225  0.03314
 *  44-49   0.02107
 *  44-204  0.01774
 *  49-97   0.03121
 *  202-204 0.04207
 *  176-202 0.04299
 *  176-191 0.02089
 *  68-176  0.04396
 *  58-68   0.04795
 *  10.46351
 *
 *  % java LazyPrimMST largeEWG.txt
 *  ...
 *  647.66307
 *
 *************************************************************************/

/**
 *  The  LazyPrimMST  class represents a data type for computing a
 *   minimum spanning tree  in an edge-weighted graph.
 *  The edge weights can be positive, zero, or negative and need not
 *  be distinct. If the graph is not connected, it computes a  minimum
 *  spanning forest , which is the union of minimum spanning trees
 *  in each connected component. The  weight()  method returns the 
 *  weight of a minimum spanning tree and the  edges()  method
 *  returns its edges.
 *   
 *  This implementation uses a lazy version of  Prim's algorithm 
 *  with a binary heap of edges.
 *  The constructor takes time proportional to  E  log  E 
 *  and extra space (not including the graph) proportional to  E ,
 *  where  V  is the number of vertices and  E  is the number of edges.
 *  Afterwards, the  weight()  method takes constant time
 *  and the  edges()  method takes time proportional to  V .
 *   
 *  For additional documentation, see <a href="/algs4/44sp">Section 4.4</a> of
 *   Algorithms, 4th Edition  by Robert Sedgewick and Kevin Wayne.
 *  For alternate implementations, see {@link PrimMST}, {@link KruskalMST},
 *  and {@link BoruvkaMST}.
 *
 *  @author Robert Sedgewick
 *  @author Kevin Wayne
 */
public class LazyPrimMST {
    private double weight;       // total weight of MST
    private Queue<Edge> mst;     // edges in the MST
    private boolean[] marked;    // marked[v] = true if v on tree
    private MinPQ<Edge> pq;      // edges with one endpoint in tree

    /**
     * Compute a minimum spanning tree (or forest) of an edge-weighted graph.
     * @param G the edge-weighted graph
     */
    public LazyPrimMST(EdgeWeightedGraph G) {
        mst = new Queue<Edge>();
        pq = new MinPQ<Edge>();
        marked = new boolean[G.V()];
        for (int v = 0; v < G.V(); v++)     // run Prim from all vertices to
            if (!marked[v]) prim(G, v);     // get a minimum spanning forest

        // check optimality conditions
        assert check(G);
    }

    // run Prim's algorithm
    private void prim(EdgeWeightedGraph G, int s) {
        scan(G, s);
        while (!pq.isEmpty()) {                        // better to stop when mst has V-1 edges
            Edge e = pq.delMin();                      // smallest edge on pq
            int v = e.either(), w = e.other(v);        // two endpoints
            assert marked[v] || marked[w];
            if (marked[v] && marked[w]) continue;      // lazy, both v and w already scanned
            mst.enqueue(e);                            // add e to MST
            weight += e.weight();
            if (!marked[v]) scan(G, v);               // v becomes part of tree
            if (!marked[w]) scan(G, w);               // w becomes part of tree
        }
    }

    // add all edges e incident to v onto pq if the other endpoint has not yet been scanned
    private void scan(EdgeWeightedGraph G, int v) {
        assert !marked[v];
        marked[v] = true;
        for (Edge e : G.adj(v))
            if (!marked[e.other(v)]) pq.insert(e);
    }
        
    /**
     * Returns the edges in a minimum spanning tree (or forest).
     * @return the edges in a minimum spanning tree (or forest) as
     *    an iterable of edges
     */
    public Iterable<Edge> edges() {
        return mst;
    }

    /**
     * Returns the sum of the edge weights in a minimum spanning tree (or forest).
     * @return the sum of the edge weights in a minimum spanning tree (or forest)
     */
    public double weight() {
        return weight;
    }

    // check optimality conditions (takes time proportional to E V lg* V)
    private boolean check(EdgeWeightedGraph G) {

        // check weight
        double totalWeight = 0.0;
        for (Edge e : edges()) {
            totalWeight += e.weight();
        }
        double EPSILON = 1E-12;
        if (Math.abs(totalWeight - weight()) > EPSILON) {
            System.err.printf("Weight of edges does not equal weight(): %f vs. %f\n", totalWeight, weight());
            return false;
        }

        // check that it is acyclic
        UF uf = new UF(G.V());
        for (Edge e : edges()) {
            int v = e.either(), w = e.other(v);
            if (uf.connected(v, w)) {
                System.err.println("Not a forest");
                return false;
            }
            uf.union(v, w);
        }

        // check that it is a spanning forest
        for (Edge e : G.edges()) {
            int v = e.either(), w = e.other(v);
            if (!uf.connected(v, w)) {
                System.err.println("Not a spanning forest");
                return false;
            }
        }

        // check that it is a minimal spanning forest (cut optimality conditions)
        for (Edge e : edges()) {

            // all edges in MST except e
            uf = new UF(G.V());
            for (Edge f : mst) {
                int x = f.either(), y = f.other(x);
                if (f != e) uf.union(x, y);
            }

            // check that e is min weight edge in crossing cut
            for (Edge f : G.edges()) {
                int x = f.either(), y = f.other(x);
                if (!uf.connected(x, y)) {
                    if (f.weight() < e.weight()) {
                        System.err.println("Edge " + f + " violates cut optimality conditions");
                        return false;
                    }
                }
            }

        }

        return true;
    }
    
    
    /**
     * Unit tests the  LazyPrimMST  data type.
     */
    public static void main(String[] args) {
        In in = new In(args[0]);
        EdgeWeightedGraph G = new EdgeWeightedGraph(in);
        LazyPrimMST mst = new LazyPrimMST(G);
        for (Edge e : mst.edges()) {
            StdOut.println(e);
        }
        StdOut.printf("%.5f\n", mst.weight());
    }

}