1#ifndef STAN_MATH_REV_FUN_COLUMNS_DOT_SELF_HPP
2#define STAN_MATH_REV_FUN_COLUMNS_DOT_SELF_HPP
19template <
typename Mat, require_eigen_vt<is_var, Mat>* =
nullptr>
22 Eigen::Matrix<var, 1, Mat::ColsAtCompileTime> ret(1, x.cols());
23 for (
size_type i = 0; i < x.cols(); i++) {
35template <
typename Mat, require_var_matrix_t<Mat>* =
nullptr>
42 x.adj() += x.val() * (2 * res.adj()).asDiagonal();
void reverse_pass_callback(F &&functor)
Puts a callback on the autodiff stack to be called in reverse pass.
auto columns_dot_self(const T &a)
Returns the dot product of each column of a matrix with itself.
Eigen::Matrix< double, Eigen::Dynamic, Eigen::Dynamic >::Index size_type
Type for sizes and indexes in an Eigen matrix with double elements.
auto dot_self(const T &a)
Returns squared norm of a vector or matrix.
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 ...