1#ifndef STAN_MATH_REV_FUN_CUMULATIVE_SUM_HPP
2#define STAN_MATH_REV_FUN_CUMULATIVE_SUM_HPP
29template <
typename EigVec, require_rev_vector_t<EigVec>* =
nullptr>
38 for (Eigen::Index i = x_arena.size() - 1; i > 0; --i) {
39 x_arena.adj().coeffRef(i) += res.adj().coeffRef(i);
40 res.adj().coeffRef(i - 1) += res.adj().coeffRef(i);
42 x_arena.adj().coeffRef(0) += res.adj().coeffRef(0);
void reverse_pass_callback(F &&functor)
Puts a callback on the autodiff stack to be called in reverse pass.
auto cumulative_sum(T_vec &&v)
Return the cumulative sum of the specified vector.
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 ...