Stan Math Library
5.0.0
Automatic Differentiation
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grad.hpp
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#ifndef STAN_MATH_REV_FUN_GRAD_HPP
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#define STAN_MATH_REV_FUN_GRAD_HPP
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#include <
stan/math/rev/meta.hpp
>
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#include <
stan/math/rev/core.hpp
>
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#include <
stan/math/prim/fun/Eigen.hpp
>
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namespace
stan
{
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namespace
math {
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inline
void
grad
(
var
& v, Eigen::Matrix<var, Eigen::Dynamic, 1>& x,
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Eigen::VectorXd& g) {
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grad
(v.vi_);
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g = x.adj();
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}
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}
// namespace math
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}
// namespace stan
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#endif
Eigen.hpp
stan::math::var_value< double >
stan::math::grad
static void grad()
Compute the gradient for all variables starting from the end of the AD tape.
Definition
grad.hpp:26
stan
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Definition
unit_vector_constrain.hpp:15
core.hpp
meta.hpp
stan
math
rev
fun
grad.hpp
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