Package jmt.engine.random

Source Code of jmt.engine.random.AbstractParameter

/**   
* Copyright (C) 2006, Laboratorio di Valutazione delle Prestazioni - Politecnico di Milano

* 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., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
*/

package jmt.engine.random;

import jmt.common.exception.IncorrectDistributionParameterException;

/**
* TODO rivedere la descrizione
*
* interface for all distributions parameters. You have to
* extend this class for every new distribution that you have.
*
* <br><br>Copyright (c) 2003
* <br>Politecnico di Milano - dipartimento di Elettronica e Informazione
* @author Federico Granata (modified by Fabrizio Frontera - ffrontera@yahoo.it)
* @author Bertoli Marco, 10-oct-2005
*
*/
public abstract class AbstractParameter {
  /**
   * check method definition.
   * It provide a method for the user to verify if the parameter that he is using
   * is correct.
   *
   * @return boolean indicating whether or not the parameter is right.
   *
   */
  public boolean check() {
    return true;
  }

  /**
   * Sets mean for a given distribution parameter. This method is required to adjust distributions
   * mean values into Load Dependent Service Time Strategy
   * <br>Author: Bertoli Marco
   * @param meanValue new mean value for this distribution
   * @throws IncorrectDistributionParameterException if mean value is invalid for this distribution
   */
  public void setMean(double meanValue) throws IncorrectDistributionParameterException {
    throw new IncorrectDistributionParameterException("Cannot set mean value for this distribution");
  }
}
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