Stan Math Library  2.20.0
reverse mode automatic differentiation
sinh.hpp
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1 #ifndef STAN_MATH_REV_SCAL_FUN_SINH_HPP
2 #define STAN_MATH_REV_SCAL_FUN_SINH_HPP
3 
4 #include <stan/math/rev/meta.hpp>
5 #include <stan/math/rev/core.hpp>
6 
7 namespace stan {
8 namespace math {
9 
10 namespace internal {
11 class sinh_vari : public op_v_vari {
12  public:
13  explicit sinh_vari(vari* avi) : op_v_vari(std::sinh(avi->val_), avi) {}
14  void chain() { avi_->adj_ += adj_ * std::cosh(avi_->val_); }
15 };
16 } // namespace internal
17 
45 inline var sinh(const var& a) { return var(new internal::sinh_vari(a.vi_)); }
46 
47 } // namespace math
48 } // namespace stan
49 #endif
fvar< T > cosh(const fvar< T > &x)
Definition: cosh.hpp:12
void chain()
Apply the chain rule to this variable based on the variables on which it depends. ...
Definition: sinh.hpp:14
The variable implementation base class.
Definition: vari.hpp:30
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
vari * vi_
Pointer to the implementation of this variable.
Definition: var.hpp:45
fvar< T > sinh(const fvar< T > &x)
Definition: sinh.hpp:11
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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