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gradient.hpp
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1 #ifndef STAN_MATH_REV_MAT_FUNCTOR_GRADIENT_HPP
2 #define STAN_MATH_REV_MAT_FUNCTOR_GRADIENT_HPP
3
4 #include <stan/math/prim/mat/fun/Eigen.hpp>
5 #include <stan/math/rev/core.hpp>
6 #include <stdexcept>
7
8 namespace stan {
9 namespace math {
10
40 template <typename F>
41 void
42 gradient(const F& f,
43 const Eigen::Matrix<double, Eigen::Dynamic, 1>& x,
44 double& fx,
45 Eigen::Matrix<double, Eigen::Dynamic, 1>& grad_fx) {
46 start_nested();
47 try {
48 Eigen::Matrix<var, Eigen::Dynamic, 1> x_var(x.size());
49 for (int i = 0; i < x.size(); ++i)
50 x_var(i) = x(i);
51 var fx_var = f(x_var);
52 fx = fx_var.val();
53 grad_fx.resize(x.size());
54 grad(fx_var.vi_);
55 for (int i = 0; i < x.size(); ++i)
56 grad_fx(i) = x_var(i).adj();
57 } catch (const std::exception& /*e*/) {
58 recover_memory_nested();
59 throw;
60 }
61 recover_memory_nested();
62 }
63
64 }
65 }
66 #endif
core.hpp
stan
Definition: log_sum_exp.hpp:8
stan::math::var
Independent (input) and dependent (output) variables for gradients.
Definition: var.hpp:30
stan::math::grad
static void grad(vari *vi)
Compute the gradient for all variables starting from the specified root variable implementation.
Definition: grad.hpp:30
stan::math::var::vi_
vari * vi_
Pointer to the implementation of this variable.
Definition: var.hpp:42
Eigen.hpp
stan::math::recover_memory_nested
static void recover_memory_nested()
Recover only the memory used for the top nested call.
Definition: recover_memory_nested.hpp:20
stan::math::var::val
double val() const
Return the value of this variable.
Definition: var.hpp:229
stan::math::gradient
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.
Definition: gradient.hpp:40
stan::math::start_nested
static void start_nested()
Record the current position so that recover_memory_nested() can find it.
Definition: start_nested.hpp:13

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