\(\newcommand{\W}[1]{ \; #1 \; }\) \(\newcommand{\R}[1]{ {\rm #1} }\) \(\newcommand{\B}[1]{ {\bf #1} }\) \(\newcommand{\D}[2]{ \frac{\partial #1}{\partial #2} }\) \(\newcommand{\DD}[3]{ \frac{\partial^2 #1}{\partial #2 \partial #3} }\) \(\newcommand{\Dpow}[2]{ \frac{\partial^{#1}}{\partial {#2}^{#1}} }\) \(\newcommand{\dpow}[2]{ \frac{ {\rm d}^{#1}}{{\rm d}\, {#2}^{#1}} }\)
atomic_two_option¶
View page sourceSet 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::vectorBoolatomic_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.