How to use

setRandomGenerator

method

in

cern.jet.random.tdouble.Gamma

  /**
   * Sets the uniform random number generated shared by all <b>static</b>
   * methods.
   * 
   * @param randomGenerator
   *            the new uniform random number generator to be shared.
   */
  private static void xstaticSetRandomGenerator(DoubleRandomEngine randomGenerator) {
    synchronized (shared) {
      shared.setRandomGenerator(randomGenerator);
    }
  }
}

  /**
   * Sets the uniform random number generated shared by all <b>static</b>
   * methods.
   * 
   * @param randomGenerator
   *            the new uniform random number generator to be shared.
   */
  private static void xstaticSetRandomGenerator(DoubleRandomEngine randomGenerator) {
    synchronized (shared) {
      shared.setRandomGenerator(randomGenerator);
    }
  }
}

/**
 * Constructs a Gamma distribution. Example: alpha=1.0, lambda=1.0.
 * 
 * @throws IllegalArgumentException
 *             if <tt>alpha &lt;= 0.0 || lambda &lt;= 0.0</tt>.
 */
public Gamma(double alpha, double lambda, DoubleRandomEngine randomGenerator) {
  setRandomGenerator(randomGenerator);
  setState(alpha, lambda);
}

/**
 * Constructs a Gamma distribution. Example: alpha=1.0, lambda=1.0.
 * 
 * @throws IllegalArgumentException
 *             if <tt>alpha &lt;= 0.0 || lambda &lt;= 0.0</tt>.
 */
public Gamma(double alpha, double lambda, DoubleRandomEngine randomGenerator) {
  setRandomGenerator(randomGenerator);
  setState(alpha, lambda);
}

/**
 * Returns a deep copy of the receiver; the copy will produce identical
 * sequences. After this call has returned, the copy and the receiver have
 * equal but separate state.
 * 
 * @return a copy of the receiver.
 */
public Object clone() {
  NegativeBinomial copy = (NegativeBinomial) super.clone();
  if (this.poisson != null)
    copy.poisson = (Poisson) this.poisson.clone();
  copy.poisson.setRandomGenerator(copy.getRandomGenerator());
  if (this.gamma != null)
    copy.gamma = (Gamma) this.gamma.clone();
  copy.gamma.setRandomGenerator(copy.getRandomGenerator());
  return copy;
}

/**
 * Returns a deep copy of the receiver; the copy will produce identical
 * sequences. After this call has returned, the copy and the receiver have
 * equal but separate state.
 * 
 * @return a copy of the receiver.
 */
public Object clone() {
  NegativeBinomial copy = (NegativeBinomial) super.clone();
  if (this.poisson != null)
    copy.poisson = (Poisson) this.poisson.clone();
  copy.poisson.setRandomGenerator(copy.getRandomGenerator());
  if (this.gamma != null)
    copy.gamma = (Gamma) this.gamma.clone();
  copy.gamma.setRandomGenerator(copy.getRandomGenerator());
  return copy;
}