public void Test1()
{
var d = new FastGaussianDistributionD();
Assert.AreEqual(0, d.ExpectedValue);
Assert.AreEqual(1, d.StandardDeviation);
var random = new Random(123);
// Create 100 random values and check if they are valid.
for (int i = 0; i < 100; i++)
{
double r = d.Next(random);
Assert.IsTrue(-3 <= r);
Assert.IsTrue(r <= 3);
}
d.ExpectedValue = 100;
d.StandardDeviation = 10;
for (int i = 0; i < 100; i++)
{
double r = d.Next(random);
Assert.IsTrue(70f <= r);
Assert.IsTrue(r <= 130);
}
}
public void Test1()
{
var d = new FastGaussianDistributionD();
Assert.AreEqual(0, d.ExpectedValue);
Assert.AreEqual(1, d.StandardDeviation);
var random = new Random(123);
// Create 100 random values and check if they are valid.
for (int i = 0; i<100; i++)
{
double r = d.Next(random);
Assert.IsTrue(-3 <= r);
Assert.IsTrue(r <= 3);
}
d.ExpectedValue = 100;
d.StandardDeviation = 10;
for (int i = 0; i < 100; i++)
{
double r = d.Next(random);
Assert.IsTrue(70f <= r);
Assert.IsTrue(r <= 130);
}
}
public void Constructor()
{
var d = new FastGaussianDistributionD(2, 3);
Assert.AreEqual(2, d.ExpectedValue);
Assert.AreEqual(3, d.StandardDeviation);
}
public void Constructor()
{
var d = new FastGaussianDistributionD(2, 3);
Assert.AreEqual(2, d.ExpectedValue);
Assert.AreEqual(3, d.StandardDeviation);
}
