\(\newcommand{\W}[1]{ \; #1 \; }\) \(\newcommand{\R}[1]{ {\rm #1} }\) \(\newcommand{\B}[1]{ {\bf #1} }\) \(\newcommand{\D}[2]{ \frac{\partial #1}{\partial #2} }\) \(\newcommand{\DD}[3]{ \frac{\partial^2 #1}{\partial #2 \partial #3} }\) \(\newcommand{\Dpow}[2]{ \frac{\partial^{#1}}{\partial {#2}^{#1}} }\) \(\newcommand{\dpow}[2]{ \frac{ {\rm d}^{#1}}{{\rm d}\, {#2}^{#1}} }\)

atomic_four_vector_rev_depend.hpp

View page source

Atomic Vector Forward Type Calculation: Example Implementation

Purpose

The rev_depend routine overrides the virtual functions used by the atomic_four base class for Jacobian sparsity calculations; see rev_depend .

Example

The file atomic_four_vector_rev_depend.cpp contains an example and test that uses this member function.

Source

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

namespace CppAD { // BEGIN_CPPAD_NAMESPACE
//
// rev_depend override
template <class Base>
bool atomic_vector<Base>::rev_depend(
   size_t                         call_id     ,
   const CppAD::vector<bool>&     ident_zero_x,
   CppAD::vector<bool>&           depend_x    ,
   const CppAD::vector<bool>&     depend_y    )
{
   // n, m
   size_t n     = depend_x.size();
   size_t m     = depend_y.size();
   //
   // type_y
   if( n == m  )
   {  // unary operator
      for(size_t i = 0; i < m; ++i)
         depend_x[i] = depend_y[i];
   }
   else
   {  // binary operator
      for(size_t i = 0; i < m; ++i)
      {  depend_x[i]     = depend_y[i];
         depend_x[m + i] = depend_y[i];
      }
   }
   return true;
}
} // END_CPPAD_NAMESPACE