Constructor Detail

• Det

  Det(double t)

  Creates a deterministic distribution with the specified constant value.

  Parameters:

  t - the constant value for this deterministic distribution

Method Detail

• fitMean

   static Det fitMean(double mean)

  Creates a deterministic distribution with the specified mean value. This is equivalent to new Det(mean).

  Parameters:

  mean - the mean value for the deterministic distribution

  Returns:

  a new Det distribution with the specified mean

• evalCDF

   double evalCDF(double t)

  Evaluates the cumulative distribution function at the given point. Returns 0 if t <value, 1 if t >= value.

  Parameters:

  t - the point at which to evaluate the CDF

  Returns:

  0 or 1 depending on whether t has reached the deterministic value

• evalLST

   double evalLST(double s)

  Evaluates the Laplace-Stieltjes transform at the given point.

  Parameters:

  s - the transform variable

  Returns:

  e^(-s*t) where t is the deterministic value

• getMean

   double getMean()

  Gets the mean of this deterministic distribution.

  Returns:

  the constant value of the distribution

• setMean

   void setMean(double t)

  Sets the mean (constant value) of this deterministic distribution.

  Parameters:

  t - the new constant value

• getMu

   double getMu()

  Gets the rate (inverse of the constant value).

  Returns:

  1/t where t is the deterministic value

• getPhi

   double getPhi()

  Gets the phase parameter.

  Returns:

  always returns 1 for deterministic distribution

• getProcess

   Map<Integer, Matrix> getProcess()

  Gets the matrix representation of this deterministic process.

  Returns:

  map containing the process matrices

• setProcess

   void setProcess(Map<Integer, Matrix> proc)

  Sets the matrix representation of this deterministic process.

  Parameters:

  proc - the process matrices to set

• getRate

   double getRate()

  Gets the rate of this deterministic distribution.

  Returns:

  1/t where t is the deterministic value

• getSCV

   double getSCV()

  Gets the squared coefficient of variation. For deterministic distribution, SCV = 0 (no variance).

  Returns:

  always returns 0

• getSkewness

   double getSkewness()

  Gets the skewness of this deterministic distribution.

  Returns:

  always returns 0 (no skewness)

• getVar

   double getVar()

  Gets the variance of this deterministic distribution.

  Returns:

  always returns 0 (no variance)

• isContinuous

   boolean isContinuous()

  Checks if this is a continuous distribution.

  Returns:

  true if this is a continuous distribution, false otherwise

• isDisabled

   boolean isDisabled()

  Checks if this is a disabled distribution.

  Returns:

  true if this is a disabled distribution, false otherwise

• isDiscrete

   boolean isDiscrete()

  Checks if this is a discrete distribution.

  Returns:

  true if this is a discrete distribution, false otherwise

• isImmediate

   boolean isImmediate()

  Checks if this distribution has immediate (zero) service time.

  Returns:

  true if the distribution is immediate or has mean <Zero threshold

• sample

   Array<double> sample(int n)

  Generates random samples from this distribution using default random generator.

  Parameters:

  n - the number of samples to generate

  Returns:

  array of random samples

• sample

   Array<double> sample(int n, Random random)

  Generates random samples from this distribution using the specified random generator.

  Parameters:

  n - the number of samples to generate

  random - the random number generator to use

  Returns:

  array of random samples

• mu

   double mu()

  Kotlin-style property alias for getMu()

• phi

   double phi()

  Kotlin-style property alias for getPhi()

• process

   Map<Integer, Matrix> process()

  Kotlin-style property alias for getProcess()

• mean

   double mean()

  Kotlin-style property alias for getMean()

• rate

   double rate()

  Kotlin-style property alias for getRate()

• scv

   double scv()

  Kotlin-style property alias for getSCV()

• skewness

   double skewness()

  Kotlin-style property alias for getSkewness()

• var

   double var()

  Kotlin-style property alias for getVar()