public double[] NextNormalRandomMatrix(double mu, double sigma, int samples)
{
var norm = new Normrand.MATLAB_NormalRandom();
MWArray M_mu = new MWNumericArray(mu);
MWArray M_sigma = new MWNumericArray(sigma);
MWArray M_n = new MWNumericArray(1);
MWArray M_m = new MWNumericArray(samples);
MWArray R = norm.Normrand(M_mu, M_sigma, M_n, M_m);
var result = new double[samples];
for (int i = 0; i < samples; i++)
{
result[i] = ((MWNumericArray)R[i + 1]).ToScalarDouble();
}
return(result);
}
public double[][] NextNormalRandomMatrix(double mu, double sigma, int n, int m)
{
var norm = new Normrand.MATLAB_NormalRandom();
MWArray M_mu = new MWNumericArray(mu);
MWArray M_sigma = new MWNumericArray(sigma);
MWArray M_n = new MWNumericArray(n);
MWArray M_m = new MWNumericArray(m);
MWArray R = norm.Normrand(M_mu, M_sigma, M_n, M_m);
var result = new double[n][];
for (int i = 0; i < n; i++)
{
result[i] = new double[m];
for (int j = 0; j < m; j++)
{
result[i][j] = ((MWNumericArray)R[i + 1, j + 1]).ToScalarDouble();
}
}
return(result);
}