Vector2<double> GaussianDistribution2D::rand() const { Matrix2x2<double> L; choleskyDecomposition(covariance, L, 1E-9*(covariance.trace())); Vector2<double> xRaw(randomGauss(), randomGauss()); return L * xRaw; }
void ElectronSimulation::setVoltageValuesPostNoise(TrialDataSet& eSimData) { for (int i = 0; i < 7; ++i) { eSimData.voltageValuesPostNoise[i] = eSimData.voltageValuesPreNoise[i] + randomGauss(0.0, electronicNoiseRMS); } }
std::complex<double> Random::randomGauss2d() { double r = randomGauss(); double a = 2. * M_PI * random01(); return std::complex<double>(r * cos(a), r * sin(a)); }
ModelCreature::ModelCreature(const ModelParams& params) : Creature() { type = MODEL; modelIdx = params.modelIdx; colour = params.colour; size = randomGauss(params.sizeAverage, params.sizeStdDeviation); frequency = ofRandom(2, 5); }
void Random::init() { double * iEnd = gauss_ + gaussS_; for (double * i = gauss_; i != iEnd; ++i) *i = randomGauss(); std::complex<double> * jEnd = gauss2d_ + gaussS_; for (std::complex<double> * j = gauss2d_; j != jEnd; ++j) *j = randomGauss2d(); iEnd = uniform01_ + uniformS_; for (double * i = uniform01_; i != iEnd; ++i) *i = random01(); iEnd = uniform11_ + uniformS_; for (double * i = uniform11_; i != iEnd; ++i) *i = random11(); }
double distributeGauss(double miu, double sigma) { return randomGauss(sigma=sigma, miu=miu); }