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2.10.0
reverse mode automatic differentiation
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math
rev
scal
fun
log1p.hpp
Go to the documentation of this file.
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#ifndef STAN_MATH_REV_SCAL_FUN_LOG1P_HPP
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#define STAN_MATH_REV_SCAL_FUN_LOG1P_HPP
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#include <
stan/math/rev/core.hpp
>
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#include <
stan/math/prim/scal/fun/constants.hpp
>
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#include <
stan/math/prim/scal/fun/log1p.hpp
>
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#include <valarray>
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namespace
stan
{
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namespace
math {
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namespace
{
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class
log1p_vari :
public
op_v_vari {
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public
:
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explicit
log1p_vari(vari* avi) :
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op_v_vari(
stan
::math::
log1p
(avi->val_), avi) {
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}
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void
chain() {
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avi_->adj_ += adj_ / (1 + avi_->val_);
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}
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};
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}
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inline
var
log1p
(
const
stan::math::var
& a) {
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return
var
(
new
log1p_vari(a.
vi_
));
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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
stan::math::var
Independent (input) and dependent (output) variables for gradients.
Definition:
var.hpp:31
stan::math::var::vi_
vari * vi_
Pointer to the implementation of this variable.
Definition:
var.hpp:43
constants.hpp
stan::math::log1p
fvar< T > log1p(const fvar< T > &x)
Definition:
log1p.hpp:16
log1p.hpp
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