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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 .
Set Atomic Function Options

Syntax
afun.option(option_value)

Scope
These settings do not apply to individual afun calls, but rather all subsequent uses of the corresponding atomic operation in an ADFun object.

atomic_sparsity
Note that, if you use optimize , these sparsity patterns are used to determine the dependency relationship between argument and result variables.

pack_sparsity_enum
If option_value is atomic_base<Base>::pack_sparsity_enum , then the type used by afun for sparsity patterns , (after the option is set) will be
    typedef CppAD::vectorBool atomic_sparsity
 If r is a sparsity pattern for a matrix @(@ R \in \B{R}^{p \times q} @)@: r.size() == p * q .

bool_sparsity_enum
If option_value is atomic_base<Base>::bool_sparsity_enum , then the type used by afun for sparsity patterns , (after the option is set) will be
    typedef CppAD::vector<bool> atomic_sparsity
 If r is a sparsity pattern for a matrix @(@ R \in \B{R}^{p \times q} @)@: r.size() == p * q .

set_sparsity_enum
If option_value is atomic_base<Base>::set_sparsity_enum , then the type used by afun for sparsity patterns , (after the option is set) will be
    typedef CppAD::vector< std::set<size_t> > atomic_sparsity
 If r is a sparsity pattern for a matrix @(@ R \in \B{R}^{p \times q} @)@: r.size() == p , and for @(@ i = 0 , \ldots , p-1 @)@, the elements of r[i] are between zero and @(@ q-1 @)@ inclusive.
Input File: include/cppad/core/atomic/two/option.hpp