math/pseudo__eigenvectors_8hpp_source.html

#ifndef STAN_MATH_PRIM_FUN_PSEUDO_EIGENVECTORS_HPP

#define STAN_MATH_PRIM_FUN_PSEUDO_EIGENVECTORS_HPP


#include <stan/math/prim/fun/Eigen.hpp>

#include <stan/math/prim/err.hpp>


namespace stan {

namespace math {


template <typename T>

Eigen::Matrix<T, -1, -1> pseudo_eigenvectors(

    const Eigen::Matrix<T, -1, -1>& m) {

  check_nonzero_size("pseudo_eigenvectors", "m", m);

  check_square("pseudo_eigenvectors", "m", m);


  Eigen::EigenSolver<Eigen::Matrix<T, -1, -1>> solver(m);

  return solver.pseudoEigenvectors();

}


}  // namespace math

}  // namespace stan

#endif

Eigen.hpp

stan::math::check_square
void check_square(const char *function, const char *name, const T_y &y)
Check if the specified matrix is square.
Definition check_square.hpp:23

stan::math::pseudo_eigenvectors
Eigen::Matrix< T, -1, -1 > pseudo_eigenvectors(const Eigen::Matrix< T, -1, -1 > &m)
Definition pseudo_eigenvectors.hpp:11

stan::math::check_nonzero_size
void check_nonzero_size(const char *function, const char *name, const T_y &y)
Check if the specified matrix/vector is of non-zero size.
Definition check_nonzero_size.hpp:22

stan
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Definition unit_vector_constrain.hpp:15

err.hpp