template<class Base >

template<class BoolVector , class SizeVector >

void CppAD::ADFun< Base >::rev_hes_sparsity	(	const BoolVector &	select_range,
		bool	transpose,
		bool	internal_bool,
		sparse_rc< SizeVector > &	pattern_out
	)

Reverse Hessian sparsity patterns.

Template Parameters

Base	is the base type for this recording.
BoolVector	is the simple vector with elements of type bool that is used for sparsity for the vector s.
SizeVector	is the simple vector with elements of type size_t that is used for row, column index sparsity patterns.

Parameters

select_range	is a sparsity pattern for for s.
transpose	Is the returned sparsity pattern transposed.
internal_bool	If this is true, calculations are done with sets represented by a vector of boolean values. Otherwise, a vector of standard sets is used.
pattern_out	The value of transpose is false (true), the return value is a sparsity pattern for H(x) ( H(x)^T ) where Here F is the function corresponding to the operation sequence and x is any argument value.

Definition at line 165 of file rev_hes_sparsity.hpp.