/*
 * Copyright (C) 2011 jandre
 *
 * This program 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 2
 * of the License, or (at your option) any later version.
 *
 * This program 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 this program; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
 */

package scripts;

import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;

import fr.ifremer.isisfish.util.Doc;
import fr.ifremer.isisfish.entities.*;
import org.nuiton.math.matrix.*;

import java.util.Random;
import java.util.List;
import java.util.*;

/**
 * RandomNormal_recruitsGarfish.java
 *
 * Created: 1 juillet 2011
 *
 * @author jandre <user.name@vcs.hostName>
 * @version $Revision: 0 $
 *
 * Last update: $Date: 1 juillet 2011 $
 * by : $Author: jandre $
 */
public class RandomNormal_recruitsGarfish {

    /** to use log facility, just put in your code: log.info("..."); */
    private static Log log = LogFactory.getLog(RandomNormal_recruitsGarfish.class);
	
	public static void main(Double... aArgs){		
	
		RandomNormal_recruitsGarfish gaussian = new RandomNormal_recruitsGarfish();
		double Mean = 72765.16f; // for garfish, Mean of the normal distribution
    		double Std  = 1196293773.00f; //for garfish, Standard deviation of the normal distribution
    		List<Double> garfishRecruitsList = new ArrayList<Double>();
  		//*** Creates a list with 100 randomly selected values from the normal distribution ***  	  	
    	
    		for (int idx = 1; idx <= 100; ++idx){
			double recruit = gaussian.getGaussian(Mean,Std);
			garfishRecruitsList.add(recruit);    		    		 	
    		}
		log.info("list of 100 recruits:" + garfishRecruitsList);
	
	}//end static void
	
	private Random fRandom = new Random();

  	private double getGaussian(double aMean, double aSdt){
     	return aMean + fRandom.nextGaussian() * aSdt;
     } //end getGaussian
}//end class