1#ifndef STAN_MATH_PRIM_FUN_EIGENVALUES_HPP
2#define STAN_MATH_PRIM_FUN_EIGENVALUES_HPP
18template <
typename EigMat, require_eigen_matrix_dynamic_t<EigMat>* =
nullptr,
19 require_not_vt_complex<EigMat>* =
nullptr>
20inline Eigen::Matrix<complex_return_t<value_type_t<EigMat>>, -1, 1>
eigenvalues(
23 return Eigen::Matrix<complex_return_t<value_type_t<EigMat>>, -1, 1>(0, 1);
27 decltype(
auto) m_ref =
to_ref(std::forward<EigMat>(m));
29 Eigen::EigenSolver<PlainMat> solver(m_ref,
false);
30 return solver.eigenvalues();
41template <
typename EigCplxMat,
43inline Eigen::Matrix<complex_return_t<value_type_t<EigCplxMat>>, -1, 1>
46 return Eigen::Matrix<complex_return_t<value_type_t<EigCplxMat>>, -1, 1>(0,
50 decltype(
auto) m_ref =
to_ref(std::forward<EigCplxMat>(m));
51 using PlainMat = Eigen::Matrix<scalar_type_t<EigCplxMat>, -1, -1>;
52 Eigen::ComplexEigenSolver<PlainMat> solver(m_ref,
false);
54 return solver.eigenvalues();
require_t< container_type_check_base< is_eigen_matrix_dynamic, value_type_t, TypeCheck, Check... > > require_eigen_matrix_dynamic_vt
Require type satisfies is_eigen_matrix_dynamic.
Eigen::Matrix< complex_return_t< value_type_t< EigMat > >, -1, 1 > eigenvalues(EigMat &&m)
Return the eigenvalues of a (real-valued) matrix.
void check_square(const char *function, const char *name, const T_y &y)
Check if the specified matrix is square.
ref_type_t< T && > to_ref(T &&a)
This evaluates expensive Eigen expressions.
typename plain_type< std::decay_t< T > >::type plain_type_t
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...