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reverse mode automatic differentiation
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fun
log1p_exp.hpp
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#ifndef STAN_MATH_PRIM_MAT_FUN_LOG1P_EXP_HPP
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#define STAN_MATH_PRIM_MAT_FUN_LOG1P_EXP_HPP
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#include <
stan/math/prim/mat/vectorize/apply_scalar_unary.hpp
>
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#include <
stan/math/prim/scal/fun/log1p_exp.hpp
>
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namespace
stan
{
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namespace
math {
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struct
log1p_exp_fun
{
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template
<
typename
T>
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static
inline
T
fun
(
const
T& x) {
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return
log1p_exp
(x);
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}
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};
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template
<
typename
T>
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inline
typename
apply_scalar_unary<log1p_exp_fun, T>::return_t
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log1p_exp
(
const
T& x) {
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return
apply_scalar_unary<log1p_exp_fun, T>::apply
(x);
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}
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}
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}
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#endif
stan
Definition:
log_sum_exp.hpp:8
stan::math::log1p_exp_fun
Structure to wrap log1m_exp() so that it can be vectorized.
Definition:
log1p_exp.hpp:16
log1p_exp.hpp
stan::math::log1p_exp
fvar< T > log1p_exp(const fvar< T > &x)
Definition:
log1p_exp.hpp:13
stan::math::log1p_exp_fun::fun
static T fun(const T &x)
Definition:
log1p_exp.hpp:18
stan::math::apply_scalar_unary::apply
static return_t apply(const T &x)
Return the result of applying the function defined by the template parameter F to the specified matri...
Definition:
apply_scalar_unary.hpp:57
apply_scalar_unary.hpp
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