| CppAD: A C++ Algorithmic Differentiation Package
    20171217
    | 
| void CppAD::local::get_internal_sparsity | ( | bool | transpose, | 
| const vector< size_t > & | internal_index, | ||
| const InternalSparsity & | internal_pattern, | ||
| sparse_rc< SizeVector > & | pattern_out | ||
| ) | 
Get sparsity pattern for a sub-set of variables.
| SizeVector | The type used for index sparsity patterns. This is a simple vector with elements of type size_t. | 
| InternalSparsitiy | The type used for intenal sparsity patterns. This can be either sparse_pack or sparse_list. | 
| transpose | If this is true, pattern_out is transposed. | 
| internal_index | If transpose is false (true) this is the mapping from row (column) an index in pattern_out to the corresponding row index in internal_pattern. | 
| internal_pattern | This is the internal sparsity pattern. | 
| pattern_out | The input value of pattern_out does not matter. Upon return it is an index sparsity pattern for each of the variables in internal_index, or its transpose, depending on the value of transpose. | 
Definition at line 302 of file sparse_internal.hpp.
Referenced by CppAD::ADFun< Base >::for_hes_sparsity(), CppAD::ADFun< Base >::for_jac_sparsity(), CppAD::atomic_base< double >::for_sparse_jac(), CppAD::ADFun< Base >::rev_hes_sparsity(), CppAD::ADFun< Base >::rev_jac_sparsity(), CppAD::atomic_base< double >::rev_sparse_hes(), and CppAD::atomic_base< double >::rev_sparse_jac().