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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 .
Run Multi-Threaded atomic_three Calculation

Syntax
ok = multi_atomic_three_run(y_squared, square_root)

Thread
It is assumed that this function is called by thread zero and all the other threads are blocked (waiting).

y_squared
This argument has prototype
    const vector<double>& y_squared
 and its size is equal to the number of threads. It is the values that we are computing the square root of.

square_root
This argument has prototype
    vector<double>& square_root
 The input value of square_root does not matter. Upon return, it has the same size and is the element by element square root of y_squared .

ok
This return value has prototype
    bool ok
 If it is false, multi_atomic_three_run detected an error.

Source 

namespace {
bool multi_atomic_three_run(
    const vector<double>& y_squared  ,
    vector<double>&      square_root )
{
    bool ok = true;
    ok     &= thread_alloc::thread_num() == 0;

    // setup the work for multi-threading
    ok &= multi_atomic_three_setup(y_squared);

    // now do the work for each thread
    if( num_threads_ > 0 )
        team_work( multi_atomic_three_worker );
    else
        multi_atomic_three_worker();

    // combine the result for each thread and takedown the multi-threading.
    ok &= multi_atomic_three_takedown(square_root);

    return ok;
}
}
Input File: example/multi_thread/multi_atomic_three.cpp