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/******************************************************************************
 *  Compilation:  javac DoublingRatio.java
 *  Execution:    java DoublingRatio
 *  Dependencies: ThreeSum.java Stopwatch.java StdRandom.java StdOut.java
 *
 *
 *  % java DoublingRatio
 *      250     0.0   2.7
 *      500     0.0   4.8
 *     1000     0.1   6.9
 *     2000     0.6   7.7
 *     4000     4.5   8.0
 *     8000    35.7   8.0
 *     4000     3.9   6.6
 *  ...
 *
 ******************************************************************************/

package edu.princeton.cs.algs4;

/**
 *  The {@code DoublingRatio} class provides a client for measuring
 *  the running time of a method using a doubling ratio test.
 *  

* For additional documentation, see Section 1.4 * of Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne. * * @author Robert Sedgewick * @author Kevin Wayne */ public class DoublingRatio { private static final int MAXIMUM_INTEGER = 1000000; // This class should not be instantiated. private DoublingRatio() { } /** * Returns the amount of time to call {@code ThreeSum.count()} with n * random 6-digit integers. * @param n the number of integers * @return amount of time (in seconds) to call {@code ThreeSum.count()} * with n random 6-digit integers */ public static double timeTrial(int n) { int[] a = new int[n]; for (int i = 0; i < n; i++) { a[i] = StdRandom.uniform(-MAXIMUM_INTEGER, MAXIMUM_INTEGER); } Stopwatch timer = new Stopwatch(); ThreeSum.count(a); return timer.elapsedTime(); } /** * Prints table of running times to call {@code ThreeSum.count()} * for arrays of size 250, 500, 1000, 2000, and so forth, along * with ratios of running times between successive array sizes. * * @param args the command-line arguments */ public static void main(String[] args) { double prev = timeTrial(125); for (int n = 250; true; n += n) { double time = timeTrial(n); StdOut.printf("%7d %7.1f %5.1f\n", n, time, time/prev); prev = time; } } } /****************************************************************************** * Copyright 2002-2018, 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. ******************************************************************************/





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