Below is the syntax highlighted version of NonrecursiveDFS.java.
/****************************************************************************** * Compilation: javac NonrecursiveDFS.java * Execution: java NonrecursiveDFS graph.txt s * Dependencies: Graph.java Queue.java Stack.java StdOut.java * Data files: https://algs4.cs.princeton.edu/41graph/tinyCG.txt * https://algs4.cs.princeton.edu/41graph/tinyG.txt * https://algs4.cs.princeton.edu/41graph/mediumG.txt * * Run nonrecurisve depth-first search on an undirected graph. * Runs in O(E + V) time using O(V) extra space. * * Explores the vertices in exactly the same order as DepthFirstSearch.java. * * % java Graph tinyG.txt * 13 vertices, 13 edges * 0: 6 2 1 5 * 1: 0 * 2: 0 * 3: 5 4 * 4: 5 6 3 * 5: 3 4 0 * 6: 0 4 * 7: 8 * 8: 7 * 9: 11 10 12 * 10: 9 * 11: 9 12 * 12: 11 9 * * % java NonrecursiveDFS tinyG.txt 0 * 0 1 2 3 4 5 6 * * % java NonrecursiveDFS tinyG.txt 9 * 9 10 11 12 * ******************************************************************************/ package edu.princeton.cs.algs4; import java.util.Iterator; /** * The {@code NonrecursiveDFS} class represents a data type for finding * the vertices connected to a source vertex <em>s</em> in the undirected * graph. * <p> * This implementation uses a nonrecursive version of depth-first search * with an explicit stack. * See {@link DepthFirstSearch} for the classic recursive version. * The constructor takes Θ(<em>V</em> + <em>E</em>) time in the worst * case, where <em>V</em> is the number of vertices and <em>E</em> is the * number of edges. * The {@link #marked(int)} instance method takes Θ(1) time. * It uses Θ(<em>V</em>) extra space (not including the graph). * <p> * For additional documentation, * see <a href="https://algs4.cs.princeton.edu/41graph">Section 4.1</a> * of <i>Algorithms, 4th Edition</i> by Robert Sedgewick and Kevin Wayne. * * @author Robert Sedgewick * @author Kevin Wayne */ public class NonrecursiveDFS { private boolean[] marked; // marked[v] = is there an s-v path? /** * Computes the vertices connected to the source vertex {@code s} in the graph {@code G}. * @param G the graph * @param s the source vertex * @throws IllegalArgumentException unless {@code 0 <= s < V} */ public NonrecursiveDFS(Graph G, int s) { marked = new boolean[G.V()]; validateVertex(s); // to be able to iterate over each adjacency list, keeping track of which // vertex in each adjacency list needs to be explored next Iterator<Integer>[] adj = (Iterator<Integer>[]) new Iterator[G.V()]; for (int v = 0; v < G.V(); v++) adj[v] = G.adj(v).iterator(); // depth-first search using an explicit stack Stack<Integer> stack = new Stack<Integer>(); marked[s] = true; stack.push(s); while (!stack.isEmpty()) { int v = stack.peek(); if (adj[v].hasNext()) { int w = adj[v].next(); // StdOut.printf("check %d\n", w); if (!marked[w]) { // discovered vertex w for the first time marked[w] = true; // edgeTo[w] = v; stack.push(w); // StdOut.printf("dfs(%d)\n", w); } } else { // StdOut.printf("%d done\n", v); stack.pop(); } } } /** * Is vertex {@code v} connected to the source vertex {@code s}? * @param v the vertex * @return {@code true} if vertex {@code v} is connected to the source vertex {@code s}, * and {@code false} otherwise * @throws IllegalArgumentException unless {@code 0 <= v < V} */ public boolean marked(int v) { validateVertex(v); return marked[v]; } // throw an IllegalArgumentException unless {@code 0 <= v < V} private void validateVertex(int v) { int V = marked.length; if (v < 0 || v >= V) throw new IllegalArgumentException("vertex " + v + " is not between 0 and " + (V-1)); } /** * Unit tests the {@code NonrecursiveDFS} data type. * * @param args the command-line arguments */ public static void main(String[] args) { In in = new In(args[0]); Graph G = new Graph(in); int s = Integer.parseInt(args[1]); NonrecursiveDFS dfs = new NonrecursiveDFS(G, s); for (int v = 0; v < G.V(); v++) if (dfs.marked(v)) StdOut.print(v + " "); StdOut.println(); } } /****************************************************************************** * 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. ******************************************************************************/