Stan Math Library  2.10.0
reverse mode automatic differentiation
grad.hpp
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1 #ifndef STAN_MATH_REV_MAT_FUN_GRAD_HPP
2 #define STAN_MATH_REV_MAT_FUN_GRAD_HPP
3 
4 
7 #include <stan/math/rev/core.hpp>
8 
9 namespace stan {
10 
11  namespace math {
12 
26  void grad(var& v,
27  Eigen::Matrix<var, Eigen::Dynamic, 1>& x,
28  Eigen::VectorXd& g) {
30  g.resize(x.size());
31  for (int i = 0; i < x.size(); ++i)
32  g(i) = x(i).vi_->adj_;
33  }
34 
35  }
36 }
37 
38 #endif
Independent (input) and dependent (output) variables for gradients.
Definition: var.hpp:31
static void grad(vari *vi)
Compute the gradient for all variables starting from the specified root variable implementation.
Definition: grad.hpp:30
vari * vi_
Pointer to the implementation of this variable.
Definition: var.hpp:43

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