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reverse mode automatic differentiation
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math
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scal
fun
log1m_exp.hpp
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#ifndef STAN_MATH_FWD_SCAL_FUN_LOG1M_EXP_HPP
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#define STAN_MATH_FWD_SCAL_FUN_LOG1M_EXP_HPP
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#include <
stan/math/fwd/core.hpp
>
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#include <
stan/math/fwd/scal/fun/expm1.hpp
>
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#include <
stan/math/prim/scal/fun/log1m_exp.hpp
>
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#include <
stan/math/prim/scal/fun/constants.hpp
>
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#include <cmath>
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namespace
stan
{
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namespace
math {
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template
<
typename
T>
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inline
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fvar<T>
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log1m_exp
(
const
fvar<T>
& x) {
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using
stan::math::log1m_exp
;
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using
stan::math::NOT_A_NUMBER
;
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using ::expm1
;
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if
(x.
val_
>= 0)
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return
fvar<T>
(
NOT_A_NUMBER
);
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return
fvar<T>
(
log1m_exp
(x.
val_
), x.
d_
/ -
expm1
(-x.
val_
));
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}
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}
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}
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#endif
core.hpp
expm1.hpp
stan::math::fvar::d_
T d_
Definition:
fvar.hpp:15
stan::math::NOT_A_NUMBER
const double NOT_A_NUMBER
(Quiet) not-a-number value.
Definition:
constants.hpp:56
stan
Definition:
log_sum_exp.hpp:8
stan::math::expm1
fvar< T > expm1(const fvar< T > &x)
Definition:
expm1.hpp:12
stan::math::fvar::val_
T val_
Definition:
fvar.hpp:14
stan::math::log1m_exp
fvar< T > log1m_exp(const fvar< T > &x)
Definition:
log1m_exp.hpp:16
log1m_exp.hpp
constants.hpp
stan::math::fvar
Definition:
fvar.hpp:13
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