build()

template<typename Op1 , typename Op2 , typename Op3 , typename Op4 , typename Op5 , typename Op6 , typename Op7 , typename Op8 , typename T_return_type >

double stan::math::operands_and_partials< Op1, Op2, Op3, Op4, Op5, Op6, Op7, Op8, T_return_type >::build ( double  value ) const

inlinenoexcept

Build the node to be stored on the autodiff graph.

This should contain both the value and the tangent.

For scalars (this implementation), we don't calculate any derivatives. For reverse mode, we end up returning a type of var that will calculate the appropriate adjoint using the stored operands and partials. Forward mode just calculates the tangent on the spot and returns it in a vanilla fvar.

Parameters

value

the return value of the function we are compressing

Returns

the value with its derivative

Definition at line 189 of file operands_and_partials.hpp.