CppAD: A C++ Algorithmic Differentiation Package 20110419
template<class Base >
template<class VectorBase >
VectorBase ADFun< Base >::SparseHessian ( const VectorBase &  x,
const VectorBase &  w 
)

calculate sparse Hessians

Compute a sparse Hessian.

The C++ source code coresponding to this operation is

	hes = SparseHessian(x, w)
Template Parameters:
Baseis the base type for the recording that is stored in this ADFun<Base object.
VectorBaseis a simple vector class with elements of the Base.
Parameters:
xis a vector specifing the point at which to compute the Hessian.
wThe Hessian is computed for a weighted sum of the components of the function corresponding to this ADFun<Base> object. The argument w specifies the weights for each component. It must have size equal to the range dimension for this ADFun<Base> object.
Returns:
Will be a vector of size n * n containing the Hessian of at the point specified by x (where n is the domain dimension for this ADFun<Base> object).

Definition at line 537 of file sparse_hessian.hpp.