Package jmt.engine.random

Source Code of jmt.engine.random.UniformPar

/**   
  * 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;

/**
*
* This is the parameter that should be passed to the Uniform
* distribution.
*
* <br><br>Copyright (c) 2003
* <br>Politecnico di Milano - dipartimento di Elettronica e Informazione
* @author Fabrizio Frontera - ffrontera@yahoo.it
* @author Bertoli Marco 10-oct-2005
*
* Edited by Bertoli Marco 2005: Inverted max and min to have classical position
*/

public class UniformPar extends AbstractParameter implements Parameter {

  private double max;
  private double min;

  /**
   * It creates a new uniform parameter using the bound provided by the user.
   *
   * @param max double containing the higher bound for the distribution.
   * @param min double containing the lower bound for the distribution.
   *
   * @throws IncorrectDistributionParameterException if the bound are incorrect.
   *
   */

  public UniformPar(double min, double max) throws IncorrectDistributionParameterException {
    this.max = max;
    this.min = min;
    if (!check()) {
      throw new IncorrectDistributionParameterException("Error: the *max* parameter must be > of the *min* one");
    }
  }

  public UniformPar(Double wmin, Double wmax) throws IncorrectDistributionParameterException {
    this(wmin.doubleValue(), wmax.doubleValue());
  }

  /**
   * It verify if the parameter is correct. For the uniform distribution the parameter
   * is right if the bound are right which means that max must be greater or equal to min.
   *
   * @return boolean, indicating wether the parameter is correct or not.
   *
   */

  @Override
  public boolean check() {
    if (max <= min) {
      return false;
    } else {
      return true;
    }
  }

  /**
   * It verify if the parameter is correct. For the uniform distribution the parameter
   * is right if the bound are right which means that max must be greater or equal to min.
   * It is the same of the method check() but it is a service method used only by the constructor.
   *
   * @return boolean, indicating wether the parameter is correct or not.
   *
   */

  private boolean check(double max, double min) {
    if (max <= min) {
      return false;
    } else {
      return true;
    }
  }

  /**
   * It returns the value of the minimum bound of the uniform distribution.
   *
   * @return double with the min parameter of the distribution.
   *
   */

  public double getMin() {
    return min;
  }

  /**
   * It returns the value of the maximum bound of the uniform distribution.
   *
   * @return double with the max parameter of the distribution.
   *
   */

  public double getMax() {
    return max;
  }

  /**
   * it change the min bound of the distribution.
   * It allow the user to change the minimum bound of the uniform distribution and
   * it verifies that the new bound is correct (it is less or equal to the maximum bound).
   *
   * @param min double indicating the new value of the minimum bound.
   * @throws IncorrectDistributionParameterException if the provided value is not
   * less or equal to the maximum bound value.
   *
   */

  public void setMin(double min) throws IncorrectDistributionParameterException {
    if (check(max, min)) {
      this.min = min;
    } else {
      throw new IncorrectDistributionParameterException("Error: the *max* parameter must be > of the *min* one");
    }
  }

  /**
   * it change the max bound of the distribution.
   * It allow the user to change the maximum bound of the uniform distribution and
   * it verifies that the new bound is correct (it is greater or equal to the minimum bound).
   *
   * @param max double indicating the new value of the maximum bound.
   * @throws IncorrectDistributionParameterException if the provided value is not
   * greater or equal to the minimum bound value.
   *
   */

  public void setMax(double max) throws IncorrectDistributionParameterException {
    if (check(max, min)) {
      this.max = max;
    } else {
      throw new IncorrectDistributionParameterException("Error: the *max* parameter must be > of the *min* one");
    }
  }

  /**
   * Sets mean for a given distribution parameter. This method is required to adjust distributions
   * mean values into Load Dependent Service Time Strategy
   * @param meanValue new mean value for this distribution
   * Author: Bertoli Marco
   * @throws IncorrectDistributionParameterException if mean value is invalid for this distribution
   */
  @Override
  public void setMean(double meanValue) throws IncorrectDistributionParameterException {
    if (meanValue < 0 || Double.isInfinite(meanValue)) {
      throw new IncorrectDistributionParameterException("Mean value must be finite and greater than zero");
    }
    // Keeps variation coefficient c constant
    double c = (max - min) / (max + min) * Math.sqrt(3);
    max = meanValue + meanValue * c / Math.sqrt(3);
    min = meanValue - meanValue * c / Math.sqrt(3);
  }
} // end UniformPar
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