Stan Math Library  2.20.0
reverse mode automatic differentiation
operator_subtraction.hpp
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1 #ifndef STAN_MATH_FWD_CORE_OPERATOR_SUBTRACTION_HPP
2 #define STAN_MATH_FWD_CORE_OPERATOR_SUBTRACTION_HPP
3 
5 
6 namespace stan {
7 namespace math {
8 
17 template <typename T>
18 inline fvar<T> operator-(const fvar<T>& x1, const fvar<T>& x2) {
19  return fvar<T>(x1.val_ - x2.val_, x1.d_ - x2.d_);
20 }
21 
30 template <typename T>
31 inline fvar<T> operator-(double x1, const fvar<T>& x2) {
32  return fvar<T>(x1 - x2.val_, -x2.d_);
33 }
34 
43 template <typename T>
44 inline fvar<T> operator-(const fvar<T>& x1, double x2) {
45  return fvar<T>(x1.val_ - x2, x1.d_);
46 }
47 
48 } // namespace math
49 } // namespace stan
50 #endif
fvar< T > operator-(const fvar< T > &x1, const fvar< T > &x2)
Return the difference of the specified arguments.
T d_
The tangent (derivative) of this variable.
Definition: fvar.hpp:50
T val_
The value of this variable.
Definition: fvar.hpp:45
This template class represents scalars used in forward-mode automatic differentiation, which consist of values and directional derivatives of the specified template type.
Definition: fvar.hpp:41

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