Automatic Differentiation
 
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◆ eigendecompose() [2/2]

template<typename EigCplxMat , require_eigen_matrix_dynamic_vt< is_complex, EigCplxMat > * = nullptr>
std::tuple< Eigen::Matrix< complex_return_t< value_type_t< EigCplxMat > >, -1, -1 >, Eigen::Matrix< complex_return_t< value_type_t< EigCplxMat > >, -1, 1 > > stan::math::eigendecompose ( const EigCplxMat &  m)
inline

Return the eigendecomposition of a (complex-valued) matrix.

Template Parameters
EigCplxMattype of complex matrix argument
Parameters
[in]mmatrix to find the eigendecomposition of. Must be square and have a non-zero size.
Returns
A tuple V,D where V is a matrix where the columns are the complex-valued eigenvectors of m and D is a complex-valued column vector with entries the eigenvectors of m

Definition at line 55 of file eigendecompose.hpp.