Stan Math Library  2.9.0
reverse mode automatic differentiation
is_nan.hpp
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1 #ifndef STAN_MATH_REV_SCAL_FUN_IS_NAN_HPP
2 #define STAN_MATH_REV_SCAL_FUN_IS_NAN_HPP
3 
4 #include <stan/math/rev/core.hpp>
7 
8 namespace stan {
9 
10  namespace math {
11 
21  inline bool is_nan(const var& v) {
22  return stan::math::is_nan(v.val());
23  }
24 
25  }
26 }
27 
28 #endif
Independent (input) and dependent (output) variables for gradients.
Definition: var.hpp:31
double val() const
Return the value of this variable.
Definition: var.hpp:233
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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