/* * Copyright (c) 2005–2012 Goethe Center for Scientific Computing - Simulation and Modelling (G-CSC Frankfurt) * Copyright (c) 2012-2015 Goethe Center for Scientific Computing - Computational Neuroscience (G-CSC Frankfurt) * * This file is part of NeuGen. * * NeuGen is free software: you can redistribute it and/or modify * it under the terms of the GNU Lesser General Public License version 3 * as published by the Free Software Foundation. * * see: http://opensource.org/licenses/LGPL-3.0 * file://path/to/NeuGen/LICENSE * * NeuGen 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 Lesser General Public License for more details. * * This version of NeuGen includes copyright notice and attribution requirements. * According to the LGPL this information must be displayed even if you modify * the source code of NeuGen. The copyright statement/attribution may not be removed. * * Attribution Requirements: * * If you create derived work you must do the following regarding copyright * notice and author attribution. * * Add an additional notice, stating that you modified NeuGen. In addition * you must cite the publications listed below. A suitable notice might read * "NeuGen source code modified by YourName 2012". * * Note, that these requirements are in full accordance with the LGPL v3 * (see 7. Additional Terms, b). * * Publications: * * S. Wolf, S. Grein, G. Queisser. NeuGen 2.0 - * Employing NeuGen 2.0 to automatically generate realistic * morphologies of hippocapal neurons and neural networks in 3D. * Neuroinformatics, 2013, 11(2), pp. 137-148, doi: 10.1007/s12021-012-9170-1 * * * J. P. Eberhard, A. Wanner, G. Wittum. NeuGen - * A tool for the generation of realistic morphology * of cortical neurons and neural networks in 3D. * Neurocomputing, 70(1-3), pp. 327-343, doi: 10.1016/j.neucom.2006.01.028 * */ /* * File: Frand.java * Created on 06.10.2009, 13:57:12 * */ package org.neugen.utils; import java.io.Serializable; /** * Class for floating point random numbers. The class contains floating point numbers * which are equally distributed in [0,1] or [-1,1]. * * @author Jens Eberhard */ public class Frand extends Randint implements Serializable { static final long serialVersionUID = -8689337816399130143L; /** * Constructor. Initialize with a seed. * @param s the seed. */ public Frand(long s) { super(s); } /** * equally distributed in [0,1] */ public float fdraw() { return abs(draw()) / max(); } /** * equally distributed in [-1,1] */ public float fpm_onedraw() { return 2 * fdraw() - 1.0f; } }