Automatic Differentiation
 
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operator_unary_minus.hpp
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1#ifndef STAN_MATH_FWD_CORE_OPERATOR_UNARY_MINUS_HPP
2#define STAN_MATH_FWD_CORE_OPERATOR_UNARY_MINUS_HPP
3
5
6namespace stan {
7namespace math {
8
16template <typename T>
17inline fvar<T> operator-(const fvar<T>& x) {
18 return fvar<T>(-x.val_, -x.d_);
19}
20} // namespace math
21} // namespace stan
22#endif
fvar< T > operator-(const fvar< T > &x1, const fvar< T > &x2)
Return the difference of the specified arguments.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Scalar val_
The value of this variable.
Definition fvar.hpp:49
Scalar d_
The tangent (derivative) of this variable.
Definition fvar.hpp:61
This template class represents scalars used in forward-mode automatic differentiation,...
Definition fvar.hpp:40