1#ifndef STAN_MATH_REV_FUN_MULTIPLY_LOWER_TRI_SELF_TRANSPOSE_HPP
2#define STAN_MATH_REV_FUN_MULTIPLY_LOWER_TRI_SELF_TRANSPOSE_HPP
16template <
typename T, require_rev_matrix_t<T>* =
nullptr>
25 = arena_L.val().template triangularView<Eigen::Lower>();
28 * arena_L_val.transpose();
31 arena_L.adj() += ((res.adj().transpose() + res.adj())
32 * arena_L_val.template triangularView<Eigen::Lower>())
33 .template triangularView<Eigen::Lower>();
Eigen::Matrix< value_type_t< EigMat >, EigMat::RowsAtCompileTime, EigMat::RowsAtCompileTime > multiply_lower_tri_self_transpose(const EigMat &m)
void reverse_pass_callback(F &&functor)
Puts a callback on the autodiff stack to be called in reverse pass.
T value_of(const fvar< T > &v)
Return the value of the specified variable.
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 ...