template<class Vector_set >

void CppAD::local::reverse_sparse_hessian_load_op	(	OpCode	op,
		size_t	i_z,
		const addr_t *	arg,
		size_t	num_combined,
		const size_t *	combined,
		Vector_set &	var_sparsity,
		Vector_set &	vecad_sparsity,
		bool *	var_jacobian,
		bool *	vecad_jacobian
	)

inline

Reverse mode Hessian sparsity operations for LdpOp and LdvOp.

The C++ source code corresponding to this operation is

     v[x] = y

where v is a VecAD<Base> vector, x is an AD<Base> object, and y is AD<Base> or Base objects. We define the index corresponding to v[x] by

     i_v_x = index_by_ind[ arg[0] + i_vec ]

where i_vec is defined under the heading arg[1] below:

Template Parameters

Vector_set is the type used for vectors of sets. It can be either sparse_pack or sparse_list.

Parameters

op	is the code corresponding to this operator; i.e., LdpOp or LdvOp.
i_z	is the AD variable index corresponding to the variable z; i.e., the set with index i_z in var_sparsity is the sparsity pattern correpsonding to z.
arg	arg[0] is the offset corresponding to this VecAD vector in the VecAD combined array.
num_combined	is the total number of elements in the VecAD combinded array.
combined	is the VecAD combined array. combined[ arg[0] - 1 ] is the index of the set corresponding to the vector v in vecad_sparsity. We use the notation i_v for this value; i.e., i_v = combined[ \a arg[0] - 1 ]
var_sparsity	The set with index i_z in var_sparsity is the sparsity pattern for z. This is an output for forward mode operations, and an input for reverse mode operations.
vecad_sparsity	The set with index i_v is the sparsity pattern for the vector v. This is an input for forward mode operations. For reverse mode operations, the sparsity pattern for z is added to the sparsity pattern for v.

Checked Assertions

Parameters

var_jacobian	var_jacobian[i_z] is false (true) if the Jacobian of G with respect to z is always zero (many be non-zero).
vecad_jacobian	vecad_jacobian[i_v] is false (true) if the Jacobian with respect to x is always zero (may be non-zero). On input, it corresponds to the function G, and on output it corresponds to the function H.

Definition at line 662 of file load_op.hpp.