atomic_four_lin_ode_get.hpp

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atomic_lin_ode Get Routine: Example Implementation

Syntax

lin_ode . get ( call_id , r , step , pattern , transpose )

Prototype

   typedef CppAD::sparse_rc< CppAD::vector<size_t> > sparse_rc;

template <class Base>
void atomic_lin_ode<Base>::get(
   size_t call_id, Base& r, Base& step, sparse_rc& pattern, bool& transpose
)

Purpose

Retrieves the auxiliary information for a an atomic operation that computes the solution of a linear ODE.

call_id

This input argument identifies the auxiliary information for this ODE.

r

This output argument is the final value for the variable that the ODE is with respect to.

step

This is a positive maximum step size to use when solving the ODE.

pattern

This output argument is a sparsity pattern.

transpose

If this output argument is true (false) the sparsity pattern is for \(A(x)^\R{T}\) (\(A(x)\)).

Source

# include <cppad/example/atomic_four/lin_ode/lin_ode.hpp>

namespace CppAD { // BEGIN_CPPAD_NAMESPACE
// BEGIN PROTOTYPE
template <class Base>
void atomic_lin_ode<Base>::get(
   size_t call_id, Base& r, Base& step, sparse_rc& pattern, bool& transpose
)
// END PROTOTYPE
{
   // thread
   size_t thread = thread_alloc::thread_num();
   CPPAD_ASSERT_UNKNOWN( work_[thread] != nullptr );
   //
   // pattern_vec
   CppAD::vector<sparse_rc>& pattern_vec( work_[thread]->pattern_vec );
   //
   // call_vec
   CppAD::vector<call_struct>& call_vec( work_[thread]->call_vec );
   //
   CPPAD_ASSERT_UNKNOWN( thread == call_vec[call_id].thread );
   //
   // r
   call_struct& call = call_vec[call_id];
   r         = call.r;
   step      = call.step;
   pattern   = pattern_vec[call.pattern_index];
   transpose = call.transpose;
   //
   return;
}
} // END_CPPAD_NAMESPACE