Stan Math Library
2.20.0
reverse mode automatic differentiation
stan
math
fwd
scal
fun
inv.hpp
Go to the documentation of this file.
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#ifndef STAN_MATH_FWD_SCAL_FUN_INV_HPP
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#define STAN_MATH_FWD_SCAL_FUN_INV_HPP
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#include <
stan/math/fwd/meta.hpp
>
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#include <
stan/math/fwd/core.hpp
>
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#include <
stan/math/prim/scal/fun/square.hpp
>
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namespace
stan
{
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namespace
math {
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template
<
typename
T>
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inline
fvar<T>
inv
(
const
fvar<T>
& x) {
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return
fvar<T>
(1 / x.
val_
, -x.
d_
/
square
(x.
val_
));
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}
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}
// namespace math
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}
// namespace stan
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#endif
core.hpp
stan::math::fvar::d_
T d_
The tangent (derivative) of this variable.
Definition:
fvar.hpp:50
stan
Definition:
log_sum_exp.hpp:8
square.hpp
stan::math::square
fvar< T > square(const fvar< T > &x)
Definition:
square.hpp:12
stan::math::fvar::val_
T val_
The value of this variable.
Definition:
fvar.hpp:45
meta.hpp
stan::math::fvar
This template class represents scalars used in forward-mode automatic differentiation, which consist of values and directional derivatives of the specified template type.
Definition:
fvar.hpp:41
stan::math::inv
fvar< T > inv(const fvar< T > &x)
Definition:
inv.hpp:12
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