Пример #1
0
// Computing residuals in high precision
void printResidual(result_type y1, result_type y2, Real aa, Real bb, Real cc)
{
  auto a=static_cast<long double>(aa);
  auto b=static_cast<long double>(bb);
  auto c=static_cast<long double>(cc);
  auto x1=std::complex<long double>(static_cast<long double>(y1.real()),static_cast<long double>(y1.imag()));
  auto x2=std::complex<long double>(static_cast<long double>(y2.real()),static_cast<long double>(y2.imag()));
  std::cout<<"Residuals: "<< a*x1*x1+b*x1+c<<", "<<
    a*x2*x2+b*x2+c<<std::endl<<std::endl;
}
Пример #2
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 Gaussian(const result_type& mu_=result_type::Zero(), const matrix_type& sigma_=matrix_type::Identity(), const std::random_device::result_type seed=std::random_device()(), const int size_=n)
     : base_type(Eigen::hjoin(mu_.real(), mu_.imag()), 0.5*Eigen::quadjoin(sigma_.real(), sigma_.imag(), -sigma_.imag(), sigma_.real()), seed, 2*size_), mu(mu_), sigma(sigma_), size(size_)
 {
 }