CppAD: A C++ Algorithmic Differentiation Package
20130102
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void RevSparseJacBool | ( | size_t | p, |
const VectorSet & | s, | ||
VectorSet & | r, | ||
size_t | total_num_var, | ||
CppAD::vector< size_t > & | dep_taddr, | ||
CppAD::vector< size_t > & | ind_taddr, | ||
CppAD::player< Base > & | play | ||
) |
Calculate Jacobian vector of bools sparsity patterns using reverse mode.
The C++ source code corresponding to this operation is
s = f.RevSparseJac(q, r)
Base | is the base type for this recording. |
VectorSet | is a simple vector class with elements of type bool . |
p | is the number of rows in the matrix ![]() |
s | is a sparsity pattern for the matrix ![]() |
r | the input value of r must be a vector with size p*n where n is the number of independent variables corresponding to the operation sequence stored in play. The input value of the components of r does not matter. On output, r is the sparsity pattern for the matrix
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total_num_var | is the total number of variable in this recording. |
dep_taddr | maps dependendent variable index to the corresponding variable in the tape. |
ind_taddr | maps independent variable index to the corresponding variable in the tape. |
play | is the recording that defines the function we are computing the sparsity pattern for. |
Definition at line 190 of file rev_sparse_jac.hpp.
Referenced by ADFun< Base >::RevSparseJacCase().