CppAD: A C++ Algorithmic Differentiation Package  20171217
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros
template<class Base>
virtual bool CppAD::atomic_base< Base >::rev_sparse_hes ( const vector< bool > &  vx,
const vector< bool > &  s,
vector< bool > &  t,
size_t  q,
const vector< std::set< size_t > > &  r,
const vector< std::set< size_t > > &  u,
vector< std::set< size_t > > &  v,
const vector< Base > &  x 
)
inlinevirtualinherited

Link from reverse Hessian sparsity sweep to base_atomic.

Parameters
vx[in] which componens of x are variables.
s[in] is the reverse Jacobian sparsity pattern w.r.t the result vector y.
t[out] is the reverse Jacobian sparsity pattern w.r.t the argument vector x.
q[in] is the column dimension for the sparsity partterns.
r[in] is the forward Jacobian sparsity pattern w.r.t the argument vector x
u[in] is the Hessian sparsity pattern w.r.t the result vector y.
v[out] is the Hessian sparsity pattern w.r.t the argument vector x.
x[in] is the integer value of the x arguments that are parameters.

Reimplemented in CppAD::old_atomic< Base >, CppAD::checkpoint< Base >, anonymous_namespace{eigen_mat_mul.hpp}::atomic_eigen_mat_mul< Base >, and anonymous_namespace{mat_mul.hpp}::atomic_mat_mul.

Definition at line 2140 of file atomic_base.hpp.

Referenced by CppAD::local::rev_hes_sweep(), and CppAD::atomic_base< double >::rev_sparse_hes().