sum_to_zero_constrain.hpp

Go to the documentation of this file.

#ifndef STAN_MATH_PRIM_CONSTRAINT_SUM_TO_ZERO_CONSTRAIN_HPP
#define STAN_MATH_PRIM_CONSTRAINT_SUM_TO_ZERO_CONSTRAIN_HPP
 
#include <stan/math/prim/meta.hpp>
#include <stan/math/prim/fun/Eigen.hpp>
#include <stan/math/prim/fun/to_ref.hpp>
#include <stan/math/prim/fun/inv_sqrt.hpp>
#include <stan/math/prim/functor/apply_vector_unary.hpp>
#include <cmath>
 
namespace stan {
namespace math {
 
template <typename Vec, require_eigen_col_vector_t<Vec>* = nullptr,
          require_not_st_var<Vec>* = nullptr>
inline plain_type_t<Vec> sum_to_zero_constrain(const Vec& y) {
  const auto N = y.size();
 
  plain_type_t<Vec> z = Eigen::VectorXd::Zero(N + 1);
  if (unlikely(N == 0)) {
    return z;
  }
 
  auto&& y_ref = to_ref(y);
 
  value_type_t<Vec> sum_w(0);
  for (int i = N; i > 0; --i) {
    double n = static_cast<double>(i);
    auto w = y_ref(i - 1) * inv_sqrt(n * (n + 1));
    sum_w += w;
 
    z.coeffRef(i - 1) += sum_w;
    z.coeffRef(i) -= w * n;
  }
 
  return z;
}
 
template <typename Vec, require_eigen_col_vector_t<Vec>* = nullptr,
          require_not_st_var<Vec>* = nullptr>
inline plain_type_t<Vec> sum_to_zero_constrain(const Vec& y,
                                               value_type_t<Vec>& lp) {
  return sum_to_zero_constrain(y);
}
 
template <bool Jacobian, typename Vec, require_not_std_vector_t<Vec>* = nullptr>
inline plain_type_t<Vec> sum_to_zero_constrain(const Vec& y,
                                               return_type_t<Vec>& lp) {
  return sum_to_zero_constrain(y);
}
 
template <bool Jacobian, typename T, require_std_vector_t<T>* = nullptr>
inline auto sum_to_zero_constrain(const T& y, return_type_t<T>& lp) {
  return apply_vector_unary<T>::apply(
      y, [](auto&& v) { return sum_to_zero_constrain(v); });
}
 
}  // namespace math
}  // namespace stan
 
#endif