Stan Math Library  2.20.0
reverse mode automatic differentiation
erf.hpp
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1 #ifndef STAN_MATH_REV_SCAL_FUN_ERF_HPP
2 #define STAN_MATH_REV_SCAL_FUN_ERF_HPP
3 
4 #include <stan/math/rev/meta.hpp>
5 #include <stan/math/rev/core.hpp>
8 #include <cmath>
9 
10 namespace stan {
11 namespace math {
12 
13 namespace internal {
14 class erf_vari : public op_v_vari {
15  public:
16  explicit erf_vari(vari* avi) : op_v_vari(erf(avi->val_), avi) {}
17  void chain() {
19  }
20 };
21 } // namespace internal
22 
58 inline var erf(const var& a) { return var(new internal::erf_vari(a.vi_)); }
59 
60 } // namespace math
61 } // namespace stan
62 #endif
The variable implementation base class.
Definition: vari.hpp:30
fvar< T > erf(const fvar< T > &x)
Definition: erf.hpp:15
Independent (input) and dependent (output) variables for gradients.
Definition: var.hpp:33
friend class var
Definition: vari.hpp:32
const double val_
The value of this variable.
Definition: vari.hpp:38
const double TWO_OVER_SQRT_PI
Definition: constants.hpp:136
fvar< T > exp(const fvar< T > &x)
Definition: exp.hpp:11
void chain()
Apply the chain rule to this variable based on the variables on which it depends. ...
Definition: erf.hpp:17
vari * vi_
Pointer to the implementation of this variable.
Definition: var.hpp:45
double adj_
The adjoint of this variable, which is the partial derivative of this variable with respect to the ro...
Definition: vari.hpp:44

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