Automatic Differentiation
 
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◆ eigendecompose() [1/2]

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

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

Template Parameters
EigMattype of real 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 24 of file eigendecompose.hpp.