1#ifndef STAN_MATH_FWD_FUNCTOR_GRADIENT_HPP
2#define STAN_MATH_FWD_FUNCTOR_GRADIENT_HPP
39template <
typename T,
typename F>
40void gradient(
const F& f,
const Eigen::Matrix<T, Eigen::Dynamic, 1>& x, T& fx,
41 Eigen::Matrix<T, Eigen::Dynamic, 1>& grad_fx) {
42 Eigen::Matrix<fvar<T>, Eigen::Dynamic, 1> x_fvar(x.size());
43 grad_fx.resize(x.size());
44 for (
int i = 0; i < x.size(); ++i) {
45 for (
int k = 0; k < x.size(); ++k) {
46 x_fvar(k) =
fvar<T>(x(k), k == i);
52 grad_fx(i) = fx_fvar.
d_;
void gradient(const F &f, const Eigen::Matrix< T, Eigen::Dynamic, 1 > &x, T &fx, Eigen::Matrix< T, Eigen::Dynamic, 1 > &grad_fx)
Calculate the value and the gradient of the specified function at the specified argument.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Scalar val_
The value of this variable.
Scalar d_
The tangent (derivative) of this variable.
This template class represents scalars used in forward-mode automatic differentiation,...