Automatic Differentiation
 
Loading...
Searching...
No Matches
finite_diff_gradient.hpp
Go to the documentation of this file.
1#ifndef STAN_MATH_PRIM_FUNCTOR_FINITE_DIFF_GRADIENT_HPP
2#define STAN_MATH_PRIM_FUNCTOR_FINITE_DIFF_GRADIENT_HPP
3
6
7namespace stan {
8namespace math {
9
42template <typename F>
43inline void finite_diff_gradient(const F& f, const Eigen::VectorXd& x,
44 double& fx, Eigen::VectorXd& grad_fx,
45 double epsilon = 1e-03) {
46 Eigen::VectorXd x_temp(x);
47 int d = x.size();
48 grad_fx.resize(d);
49
50 fx = f(x);
51
52 for (int i = 0; i < d; ++i) {
53 double delta_f = 0.0;
54
55 x_temp(i) = x(i) + 3.0 * epsilon;
56 delta_f = f(x_temp);
57
58 x_temp(i) = x(i) + 2.0 * epsilon;
59 delta_f -= 9.0 * f(x_temp);
60
61 x_temp(i) = x(i) + epsilon;
62 delta_f += 45.0 * f(x_temp);
63
64 x_temp(i) = x(i) + -3.0 * epsilon;
65 delta_f -= f(x_temp);
66
67 x_temp(i) = x(i) + -2.0 * epsilon;
68 delta_f += 9.0 * f(x_temp);
69
70 x_temp(i) = x(i) + -epsilon;
71 delta_f -= 45.0 * f(x_temp);
72
73 delta_f /= 60 * epsilon;
74
75 x_temp(i) = x(i);
76 grad_fx(i) = delta_f;
77 }
78}
79} // namespace math
80} // namespace stan
81#endif
static constexpr double e()
Return the base of the natural logarithm.
Definition constants.hpp:20
void finite_diff_gradient(const F &f, const Eigen::VectorXd &x, double &fx, Eigen::VectorXd &grad_fx, double epsilon=1e-03)
Calculate the value and the gradient of the specified function at the specified argument using finite...
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...