Below is the syntax highlighted version of DijkstraUndirectedSP.java.
/****************************************************************************** * Compilation: javac DijkstraUndirectedSP.java * Execution: java DijkstraUndirectedSP input.txt s * Dependencies: EdgeWeightedGraph.java IndexMinPQ.java Stack.java Edge.java * Data files: https://algs4.cs.princeton.edu/43mst/tinyEWG.txt * https://algs4.cs.princeton.edu/43mst/mediumEWG.txt * https://algs4.cs.princeton.edu/43mst/largeEWG.txt * * Dijkstra's algorithm. Computes the shortest path tree. * Assumes all weights are non-negative. * * % java DijkstraUndirectedSP tinyEWG.txt 6 * 6 to 0 (0.58) 6-0 0.58000 * 6 to 1 (0.76) 6-2 0.40000 1-2 0.36000 * 6 to 2 (0.40) 6-2 0.40000 * 6 to 3 (0.52) 3-6 0.52000 * 6 to 4 (0.93) 6-4 0.93000 * 6 to 5 (1.02) 6-2 0.40000 2-7 0.34000 5-7 0.28000 * 6 to 6 (0.00) * 6 to 7 (0.74) 6-2 0.40000 2-7 0.34000 * * % java DijkstraUndirectedSP mediumEWG.txt 0 * 0 to 0 (0.00) * 0 to 1 (0.71) 0-44 0.06471 44-93 0.06793 ... 1-107 0.07484 * 0 to 2 (0.65) 0-44 0.06471 44-231 0.10384 ... 2-42 0.11456 * 0 to 3 (0.46) 0-97 0.07705 97-248 0.08598 ... 3-45 0.11902 * ... * * % java DijkstraUndirectedSP largeEWG.txt 0 * 0 to 0 (0.00) * 0 to 1 (0.78) 0-460790 0.00190 460790-696678 0.00173 ... 1-826350 0.00191 * 0 to 2 (0.61) 0-15786 0.00130 15786-53370 0.00113 ... 2-793420 0.00040 * 0 to 3 (0.31) 0-460790 0.00190 460790-752483 0.00194 ... 3-698373 0.00172 * ******************************************************************************/ package edu.princeton.cs.algs4; /** * The {@code DijkstraUndirectedSP} class represents a data type for solving * the single-source shortest paths problem in edge-weighted graphs * where the edge weights are non-negative. * <p> * This implementation uses Dijkstra's algorithm with a binary heap. * The constructor takes Θ(<em>E</em> log <em>V</em>) time in the * worst case, where <em>V</em> is the number of vertices and * <em>E</em> is the number of edges. * Each instance method takes Θ(1) time. * It uses Θ(<em>V</em>) extra space (not including the * edge-weighted graph). * <p> * For additional documentation, * see <a href="https://algs4.cs.princeton.edu/44sp">Section 4.4</a> of * <i>Algorithms, 4th Edition</i> by Robert Sedgewick and Kevin Wayne. * See {@link DijkstraSP} for a version on edge-weighted digraphs. * <p> * This correctly computes shortest paths if all arithmetic performed is * without floating-point rounding error or arithmetic overflow. * This is the case if all edge weights are integers and if none of the * intermediate results exceeds 2<sup>52</sup>. Since all intermediate * results are sums of edge weights, they are bounded by <em>V C</em>, * where <em>V</em> is the number of vertices and <em>C</em> is the maximum * weight of any edge. * <p> * @author Robert Sedgewick * @author Kevin Wayne * @author Nate Liu */ public class DijkstraUndirectedSP { private double[] distTo; // distTo[v] = distance of shortest s->v path private Edge[] edgeTo; // edgeTo[v] = last edge on shortest s->v path private IndexMinPQ<Double> pq; // priority queue of vertices /** * Computes a shortest-paths tree from the source vertex {@code s} to every * other vertex in the edge-weighted graph {@code G}. * * @param G the edge-weighted digraph * @param s the source vertex * @throws IllegalArgumentException if an edge weight is negative * @throws IllegalArgumentException unless {@code 0 <= s < V} */ public DijkstraUndirectedSP(EdgeWeightedGraph G, int s) { for (Edge e : G.edges()) { if (e.weight() < 0) throw new IllegalArgumentException("edge " + e + " has negative weight"); } distTo = new double[G.V()]; edgeTo = new Edge[G.V()]; validateVertex(s); for (int v = 0; v < G.V(); v++) distTo[v] = Double.POSITIVE_INFINITY; distTo[s] = 0.0; // relax vertices in order of distance from s pq = new IndexMinPQ<Double>(G.V()); pq.insert(s, distTo[s]); while (!pq.isEmpty()) { int v = pq.delMin(); for (Edge e : G.adj(v)) relax(e, v); } // check optimality conditions assert check(G, s); } // relax edge e and update pq if changed private void relax(Edge e, int v) { int w = e.other(v); if (distTo[w] > distTo[v] + e.weight()) { distTo[w] = distTo[v] + e.weight(); edgeTo[w] = e; if (pq.contains(w)) pq.decreaseKey(w, distTo[w]); else pq.insert(w, distTo[w]); } } /** * Returns the length of a shortest path between the source vertex {@code s} and * vertex {@code v}. * * @param v the destination vertex * @return the length of a shortest path between the source vertex {@code s} and * the vertex {@code v}; {@code Double.POSITIVE_INFINITY} if no such path * @throws IllegalArgumentException unless {@code 0 <= v < V} */ public double distTo(int v) { validateVertex(v); return distTo[v]; } /** * Returns true if there is a path between the source vertex {@code s} and * vertex {@code v}. * * @param v the destination vertex * @return {@code true} if there is a path between the source vertex * {@code s} to vertex {@code v}; {@code false} otherwise * @throws IllegalArgumentException unless {@code 0 <= v < V} */ public boolean hasPathTo(int v) { validateVertex(v); return distTo[v] < Double.POSITIVE_INFINITY; } /** * Returns a shortest path between the source vertex {@code s} and vertex {@code v}. * * @param v the destination vertex * @return a shortest path between the source vertex {@code s} and vertex {@code v}; * {@code null} if no such path * @throws IllegalArgumentException unless {@code 0 <= v < V} */ public Iterable<Edge> pathTo(int v) { validateVertex(v); if (!hasPathTo(v)) return null; Stack<Edge> path = new Stack<Edge>(); int x = v; for (Edge e = edgeTo[v]; e != null; e = edgeTo[x]) { path.push(e); x = e.other(x); } return path; } // check optimality conditions: // (i) for all edges e = v-w: distTo[w] <= distTo[v] + e.weight() // (ii) for all edge e = v-w on the SPT: distTo[w] == distTo[v] + e.weight() private boolean check(EdgeWeightedGraph G, int s) { // check that edge weights are non-negative for (Edge e : G.edges()) { if (e.weight() < 0) { System.err.println("negative edge weight detected"); return false; } } // check that distTo[v] and edgeTo[v] are consistent if (distTo[s] != 0.0 || edgeTo[s] != null) { System.err.println("distTo[s] and edgeTo[s] inconsistent"); return false; } for (int v = 0; v < G.V(); v++) { if (v == s) continue; if (edgeTo[v] == null && distTo[v] != Double.POSITIVE_INFINITY) { System.err.println("distTo[] and edgeTo[] inconsistent"); return false; } } // check that all edges e = v-w satisfy distTo[w] <= distTo[v] + e.weight() for (int v = 0; v < G.V(); v++) { for (Edge e : G.adj(v)) { int w = e.other(v); if (distTo[v] + e.weight() < distTo[w]) { System.err.println("edge " + e + " not relaxed"); return false; } } } // check that all edges e = v-w on SPT satisfy distTo[w] == distTo[v] + e.weight() for (int w = 0; w < G.V(); w++) { if (edgeTo[w] == null) continue; Edge e = edgeTo[w]; if (w != e.either() && w != e.other(e.either())) return false; int v = e.other(w); if (distTo[v] + e.weight() != distTo[w]) { System.err.println("edge " + e + " on shortest path not tight"); return false; } } return true; } // throw an IllegalArgumentException unless {@code 0 <= v < V} private void validateVertex(int v) { int V = distTo.length; if (v < 0 || v >= V) throw new IllegalArgumentException("vertex " + v + " is not between 0 and " + (V-1)); } /** * Unit tests the {@code DijkstraUndirectedSP} data type. * * @param args the command-line arguments */ public static void main(String[] args) { In in = new In(args[0]); EdgeWeightedGraph G = new EdgeWeightedGraph(in); int s = Integer.parseInt(args[1]); // compute shortest paths DijkstraUndirectedSP sp = new DijkstraUndirectedSP(G, s); // print shortest path for (int t = 0; t < G.V(); t++) { if (sp.hasPathTo(t)) { StdOut.printf("%d to %d (%.2f) ", s, t, sp.distTo(t)); for (Edge e : sp.pathTo(t)) { StdOut.print(e + " "); } StdOut.println(); } else { StdOut.printf("%d to %d no path\n", s, t); } } } } /****************************************************************************** * Copyright 2002-2022, Robert Sedgewick and Kevin Wayne. * * This file is part of algs4.jar, which accompanies the textbook * * Algorithms, 4th edition by Robert Sedgewick and Kevin Wayne, * Addison-Wesley Professional, 2011, ISBN 0-321-57351-X. * http://algs4.cs.princeton.edu * * * algs4.jar is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * algs4.jar is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with algs4.jar. If not, see http://www.gnu.org/licenses. ******************************************************************************/