public void CanCreateTriangular(double lower, double upper, double mode) { var n = new Triangular(lower, upper, mode); Assert.AreEqual(lower, n.LowerBound); Assert.AreEqual(upper, n.UpperBound); Assert.AreEqual(mode, n.Mode); }
/// <summary> /// Run example /// </summary> /// <a href="https://en.wikipedia.org/wiki/Triangular_distribution">Triangular distribution</a> public void Run() { // 1. Initialize var triangular = new Triangular(0, 1, 0.3); Console.WriteLine(@"1. Initialize the new instance of the Triangular distribution class with parameters Lower = {0}, Upper = {1}, Mode = {2}", triangular.LowerBound, triangular.UpperBound, triangular.Mode); Console.WriteLine(); // 2. Distributuion properties: Console.WriteLine(@"2. {0} distributuion properties:", triangular); // Cumulative distribution function Console.WriteLine(@"{0} - Сumulative distribution at location '0.3'", triangular.CumulativeDistribution(0.3).ToString(" #0.00000;-#0.00000")); // Probability density Console.WriteLine(@"{0} - Probability density at location '0.3'", triangular.Density(0.3).ToString(" #0.00000;-#0.00000")); // Log probability density Console.WriteLine(@"{0} - Log probability density at location '0.3'", triangular.DensityLn(0.3).ToString(" #0.00000;-#0.00000")); // Entropy Console.WriteLine(@"{0} - Entropy", triangular.Entropy.ToString(" #0.00000;-#0.00000")); // Largest element in the domain Console.WriteLine(@"{0} - Largest element in the domain", triangular.Maximum.ToString(" #0.00000;-#0.00000")); // Smallest element in the domain Console.WriteLine(@"{0} - Smallest element in the domain", triangular.Minimum.ToString(" #0.00000;-#0.00000")); // Mean Console.WriteLine(@"{0} - Mean", triangular.Mean.ToString(" #0.00000;-#0.00000")); // Median Console.WriteLine(@"{0} - Median", triangular.Median.ToString(" #0.00000;-#0.00000")); // Mode Console.WriteLine(@"{0} - Mode", triangular.Mode.ToString(" #0.00000;-#0.00000")); // Variance Console.WriteLine(@"{0} - Variance", triangular.Variance.ToString(" #0.00000;-#0.00000")); // Standard deviation Console.WriteLine(@"{0} - Standard deviation", triangular.StdDev.ToString(" #0.00000;-#0.00000")); // Skewness Console.WriteLine(@"{0} - Skewness", triangular.Skewness.ToString(" #0.00000;-#0.00000")); Console.WriteLine(); // 10 samples Console.WriteLine(@"3. Generate 10 samples of the Triangular distribution"); for (var i = 0; i < 10; i++) { Console.Write(triangular.Sample().ToString("N05") + @" "); } Console.WriteLine(); Console.WriteLine(); // 10000 samples with starting parameters Console.WriteLine(@"4. Generate 100000 samples of the Triangular(0, 1, 0.3) distribution and display histogram"); var data = new double[100000]; Triangular.Samples(data, 0.0, 1.0, 0.3); ConsoleHelper.DisplayHistogram(data); Console.WriteLine(); // 10000 with different parameters Console.WriteLine(@"4. Generate 100000 samples of the Triangular(2, 10, 8) distribution and display histogram"); Triangular.Samples(data, 2.0, 10.0, 8.0); ConsoleHelper.DisplayHistogram(data); }
public void CanSampleSequence() { var n = new Triangular(0.1, 0.3, 0.2); var ied = n.Samples(); GC.KeepAlive(ied.Take(5).ToArray()); }
public void CanSample() { var n = new Triangular(0.1, 0.3, 0.2); n.Sample(); }
public void ValidateToString() { var n = new Triangular(0d, 2d, 1d); Assert.AreEqual("Triangular(Lower = 0, Upper = 2, Mode = 1)", n.ToString()); }
public void SetLowerBoundFailsIfGreaterThanMode(double lower, double mode) { var n = new Triangular(0.0, 100.0, mode); Assert.That(() => n.LowerBound = lower, Throws.ArgumentException); }