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2.11.0
reverse mode automatic differentiation
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stan
math
rev
scal
fun
digamma.hpp
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#ifndef STAN_MATH_REV_SCAL_FUN_DIGAMMA_HPP
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#define STAN_MATH_REV_SCAL_FUN_DIGAMMA_HPP
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#include <boost/math/special_functions/zeta.hpp>
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#include <
stan/math/rev/core.hpp
>
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#include <
stan/math/prim/scal/fun/trigamma.hpp
>
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#include <
stan/math/prim/scal/fun/digamma.hpp
>
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namespace
stan
{
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namespace
math {
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namespace
{
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class
digamma_vari :
public
op_v_vari {
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public
:
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explicit
digamma_vari(vari* avi) :
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op_v_vari(
digamma
(avi->val_), avi) {
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}
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void
chain() {
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avi_->adj_ += adj_ *
trigamma
(avi_->val_);
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}
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};
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}
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inline
var
digamma
(
const
stan::math::var
& a) {
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return
var
(
new
digamma_vari(a.
vi_
));
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}
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}
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}
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#endif
stan::math::trigamma
T trigamma(T x)
Definition:
trigamma.hpp:50
core.hpp
stan
Definition:
log_sum_exp.hpp:8
digamma.hpp
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
trigamma.hpp
stan::math::digamma
fvar< T > digamma(const fvar< T > &x)
Definition:
digamma.hpp:16
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