// Метод Лемера
private void button4_Click(object sender, EventArgs e)
{
int size = Convert.ToInt32(textBox7.Text);
int countIntervals = Convert.ToInt32(textBox8.Text);
int countSeries = Convert.ToInt32(textBox9.Text);
Series[] seriesMass = new Series[countSeries];
for (int s = 0; s < countSeries; s++)
{
seriesMass[s] = new Series {
Name = "Испытание " + (countLehmerSeries + 1)
};
countLehmerSeries++;
double[] values = Algs.Lehmer(size);
int[] arr = new int[countIntervals];
foreach (var value in values)
{
arr[(int)(value * countIntervals)]++;
}
// Добавление данных в серию
for (int i = 0; i < countIntervals; i++)
{
seriesMass[s].Points.AddXY(i + 1, arr[i]);
}
// Добавление серии в гистограмму
chartLehmer.Series.Add(seriesMass[s]);
}
}
public static double[] GExp(int n, int s, int AlgIndex)
{
double[] mass = new double[s];
double[] x = new double[s];
switch (AlgIndex)
{
case (-1):
case (0):
x = Algs.CSRandom(s);
break;
case (1):
x = Algs.SCongruence(n, s);
break;
case (2):
x = Algs.Lehmer(s);
break;
}
for (int i = 0; i < s; i++)
{
mass[i] = Math.Pow(-Math.Log(x[i]) / 1, 1.3);
}
return(mass);
}
public static double[] Muller(int n, int s, int AlgIndex)
{
double[] mass = new double[s];
double[] x = new double[s * 2];
switch (AlgIndex)
{
case (-1):
case (0):
x = Algs.CSRandom(s * 2);
break;
case (1):
x = Algs.SCongruence(n, s * 2);
break;
case (2):
x = Algs.Lehmer(s * 2);
break;
}
for (int i = 0; i < s - 1; i++)
{
for (int j = i * 2; j < (i + 1) * 2; j++)
{
mass[i] = (-6 + Math.Sqrt(-2 * Math.Log(x[j]))) * (-6 + Math.Sin(2 * Math.PI * x[j + 1]));
}
}
return(mass);
}
public static double[] Triangle(int n, int s, int AlgIndex)
{
double[] mass = new double[s];
int b = n / 2;
double[] x = new double[s * 2];
switch (AlgIndex)
{
case (-1):
case (0):
x = Algs.CSRandom(s * 2);
break;
case (1):
x = Algs.SCongruence(n, s * 2);
break;
case (2):
x = Algs.Lehmer(s * 2);
break;
}
for (int i = 0; i < s; i++)
{
x[i] = x[i] * b;
x[s + i] = b - x[s + i] * b;
mass[i] = x[i] + x[s + i];
}
return(mass);
}
public static double[] Trapezoid(int n, int s, int v, int AlgIndex)
{
double[] mass = new double[s];
int b = (n / 2) - (v / 2);
int c = (n / 2) + (v / 2);
double[] x = new double[s * 2];
switch (AlgIndex)
{
case (-1):
case (0):
x = Algs.CSRandom(s * 2);
break;
case (1):
x = Algs.SCongruence(n, s * 2);
break;
case (2):
x = Algs.Lehmer(s * 2);
break;
}
for (int i = 0; i < s; i++)
{
x[i] *= b;
x[s + i] = x[s + i] * -c + c;
mass[i] = x[i] + x[s + i];
}
return(mass);
}
public static double[] Normal(int n, int s, int Mx, int sigma, int AlgIndex)
{
double[] mass = new double[s];
double m = n;
double[] x = new double[s * n];
switch (AlgIndex)
{
case (-1):
case (0):
x = Algs.CSRandom(s * n);
break;
case (1):
x = Algs.SCongruence(n, s * n);
break;
case (2):
x = Algs.Lehmer(s * n);
break;
}
for (int i = 0; i < s; i++)
{
double S = 0;
for (int j = n * i; j < n * (i + 1); j++)
{
S += x[j];
}
mass[i] = Mx + (sigma * (Math.Sqrt(12 / m) * (S - (m / 2))));
}
return(mass);
}