1#ifndef STAN_MATH_REV_FUN_EIGENVALUES_HPP
2#define STAN_MATH_REV_FUN_EIGENVALUES_HPP
23template <
typename T, require_rev_matrix_t<T>* =
nullptr>
27 return return_t(Eigen::VectorXd(0));
32 Eigen::SelfAdjointEigenSolver<Eigen::MatrixXd> solver(arena_m.val());
34 auto eigenvecs =
to_arena(solver.eigenvectors());
38 += eigenvecs * eigenvals.adj().asDiagonal() * eigenvecs.transpose();
41 return return_t(eigenvals);
void check_symmetric(const char *function, const char *name, const matrix_cl< T > &y)
Check if the matrix_cl is symmetric.
matrix_cl< double > eigenvalues_sym(const matrix_cl< double > &m)
void reverse_pass_callback(F &&functor)
Puts a callback on the autodiff stack to be called in reverse pass.
arena_t< T > to_arena(const T &a)
Converts given argument into a type that either has any dynamic allocation on AD stack or schedules i...
typename internal::arena_type_impl< std::decay_t< T > >::type arena_t
Determines a type that can be used in place of T that does any dynamic allocations on the AD stack.
std::conditional_t< is_any_var_matrix< ReturnType, Types... >::value, stan::math::var_value< stan::math::promote_scalar_t< double, plain_type_t< ReturnType > > >, stan::math::promote_scalar_t< stan::math::var_value< double >, plain_type_t< ReturnType > > > return_var_matrix_t
Given an Eigen type and several inputs, determine if a matrix should be var<Matrix> or Matrix<var>.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...