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2.12.0
reverse mode automatic differentiation
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stan
math
rev
mat
fun
divide.hpp
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#ifndef STAN_MATH_REV_MAT_FUN_DIVIDE_HPP
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#define STAN_MATH_REV_MAT_FUN_DIVIDE_HPP
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#include <
stan/math/prim/mat/fun/Eigen.hpp
>
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#include <
stan/math/prim/mat/fun/typedefs.hpp
>
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#include <
stan/math/rev/core.hpp
>
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#include <
stan/math/rev/mat/fun/to_var.hpp
>
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#include <
stan/math/rev/mat/fun/typedefs.hpp
>
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#include <vector>
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namespace
stan
{
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namespace
math {
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template
<
typename
T1,
typename
T2,
int
R,
int
C>
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inline
Eigen::Matrix<var, R, C>
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divide
(
const
Eigen::Matrix<T1, R, C>& v,
const
T2& c) {
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return
to_var
(v) /
to_var
(c);
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}
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}
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}
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#endif
core.hpp
stan
Definition:
log_sum_exp.hpp:8
to_var.hpp
typedefs.hpp
stan::math::divide
Eigen::Matrix< fvar< T >, R, C > divide(const Eigen::Matrix< fvar< T >, R, C > &v, const fvar< T > &c)
Definition:
divide.hpp:16
Eigen.hpp
stan::math::to_var
std::vector< var > to_var(const std::vector< double > &v)
Converts argument to an automatic differentiation variable.
Definition:
to_var.hpp:20
typedefs.hpp
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