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2.11.0
reverse mode automatic differentiation
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math
rev
scal
fun
is_nan.hpp
Go to the documentation of this file.
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#ifndef STAN_MATH_REV_SCAL_FUN_IS_NAN_HPP
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#define STAN_MATH_REV_SCAL_FUN_IS_NAN_HPP
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#include <
stan/math/rev/core.hpp
>
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#include <
stan/math/prim/scal/fun/is_nan.hpp
>
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#include <
stan/math/prim/scal/fun/constants.hpp
>
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namespace
stan
{
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namespace
math {
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inline
bool
is_nan
(
const
var
& v) {
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return
stan::math::is_nan
(v.
val
());
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}
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}
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}
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#endif
core.hpp
is_nan.hpp
stan
Definition:
log_sum_exp.hpp:8
stan::math::var
Independent (input) and dependent (output) variables for gradients.
Definition:
var.hpp:31
constants.hpp
stan::math::var::val
double val() const
Return the value of this variable.
Definition:
var.hpp:233
stan::math::is_nan
int is_nan(const fvar< T > &x)
Returns 1 if the input's value is NaN and 0 otherwise.
Definition:
is_nan.hpp:22
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