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@(@\newcommand{\W}[1]{ \; #1 \; } \newcommand{\R}[1]{ {\rm #1} } \newcommand{\B}[1]{ {\bf #1} } \newcommand{\D}[2]{ \frac{\partial #1}{\partial #2} } \newcommand{\DD}[3]{ \frac{\partial^2 #1}{\partial #2 \partial #3} } \newcommand{\Dpow}[2]{ \frac{\partial^{#1}}{\partial {#2}^{#1}} } \newcommand{\dpow}[2]{ \frac{ {\rm d}^{#1}}{{\rm d}\, {#2}^{#1}} }@)@ This is cppad-20221105 documentation. Here is a link to its current documentation .
Using AD Version of Atomic Function

Syntax
afun(axay)

Purpose
Given ax , this call computes the corresponding value of ay . If AD<Base> operations are being recorded, it enters the computation as an atomic operation in the recording; see start recording .

ADVector
The type ADVector must be a simple vector class with elements of type AD<Base> ; see Base .

afun
is a atomic_user object and this afun function call is implemented by the atomic class.

ax
This argument has prototype
    const 
ADVectorax
and size must be equal to n . It specifies vector @(@ x \in \B{R}^n @)@ at which an AD<Base> version of @(@ y = f(x) @)@ is to be evaluated; see Base .

ay
This argument has prototype
    
ADVectoray
and size must be equal to m . The input values of its elements are not specified (must not matter). Upon return, it is an AD<Base> version of @(@ y = f(x) @)@.
Input File: include/cppad/core/atomic/two/afun.hpp