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lines 6-169 of file: speed/cppad/poly.cpp
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{xrst_begin cppad_poly.cpp}

Cppad Speed: Second Derivative of a Polynomial
##############################################

Specifications
**************
See :ref:`link_poly-name` .

Implementation
**************

{xrst_spell_off}
{xrst_code cpp} */
# include <cppad/cppad.hpp>
# include <cppad/speed/uniform_01.hpp>

// Note that CppAD uses global_option["memory"] at the main program level
# include <map>
extern std::map<std::string, bool> global_option;
// see comments in main program for this external
extern size_t global_cppad_thread_alloc_inuse;

bool link_poly(
   size_t                     size     ,
   size_t                     repeat   ,
   CppAD::vector<double>     &a        ,  // coefficients of polynomial
   CppAD::vector<double>     &z        ,  // polynomial argument value
   CppAD::vector<double>     &ddp      )  // second derivative w.r.t z
{  global_cppad_thread_alloc_inuse = 0;

   // --------------------------------------------------------------------
   // check global options
   const char* valid[] = { "memory", "onetape", "optimize", "val_graph"};
   size_t n_valid = sizeof(valid) / sizeof(valid[0]);
   typedef std::map<std::string, bool>::iterator iterator;
   //
   for(iterator itr=global_option.begin(); itr!=global_option.end(); ++itr)
   {  if( itr->second )
      {  bool ok = false;
         for(size_t i = 0; i < n_valid; i++)
            ok |= itr->first == valid[i];
         if( ! ok )
            return false;
      }
   }
   // --------------------------------------------------------------------
   // optimization options: no conditional skips or compare operators
   std::string optimize_options =
      "no_conditional_skip no_compare_op no_print_for_op";
   if( global_option["val_graph"] )
      optimize_options += " val_graph";
   // -----------------------------------------------------
   // setup
   typedef CppAD::AD<double>     ADScalar;
   typedef CppAD::vector<ADScalar> ADVector;

   size_t i;      // temporary index
   size_t m = 1;  // number of dependent variables
   size_t n = 1;  // number of independent variables
   ADVector Z(n); // AD domain space vector
   ADVector P(m); // AD range space vector

   // choose the polynomial coefficients
   CppAD::uniform_01(size, a);

   // AD copy of the polynomial coefficients
   ADVector A(size);
   for(i = 0; i < size; i++)
      A[i] = a[i];

   // forward mode first and second differentials
   CppAD::vector<double> p(1), dp(1), dz(1), ddz(1);
   dz[0]  = 1.;
   ddz[0] = 0.;

   // AD function object
   CppAD::ADFun<double> f;

   // do not even record comparison operators
   size_t abort_op_index = 0;
   bool record_compare   = false;

   // --------------------------------------------------------------------
   if( ! global_option["onetape"] ) while(repeat--)
   {
      // choose an argument value
      CppAD::uniform_01(1, z);
      Z[0] = z[0];

      // declare independent variables
      Independent(Z, abort_op_index, record_compare);

      // AD computation of the function value
      P[0] = CppAD::Poly(0, A, Z[0]);

      // create function object f : A -> detA
      f.Dependent(Z, P);

      if( global_option["optimize"] )
         f.optimize(optimize_options);

      // skip comparison operators
      f.compare_change_count(0);

      // pre-allocate memory for three forward mode calculations
      f.capacity_order(3);

      // evaluate the polynomial
      p = f.Forward(0, z);

      // evaluate first order Taylor coefficient
      dp = f.Forward(1, dz);

      // second derivative is twice second order Taylor coef
      ddp     = f.Forward(2, ddz);
      ddp[0] *= 2.;
   }
   else
   {
      // choose an argument value
      CppAD::uniform_01(1, z);
      Z[0] = z[0];

      // declare independent variables
      Independent(Z, abort_op_index, record_compare);

      // AD computation of the function value
      P[0] = CppAD::Poly(0, A, Z[0]);

      // create function object f : A -> detA
      f.Dependent(Z, P);

      if( global_option["optimize"] )
         f.optimize(optimize_options);

      // skip comparison operators
      f.compare_change_count(0);

      while(repeat--)
      {  // sufficient memory is allocated by second repetition

         // get the next argument value
         CppAD::uniform_01(1, z);

         // evaluate the polynomial at the new argument value
         p = f.Forward(0, z);

         // evaluate first order Taylor coefficient
         dp = f.Forward(1, dz);

         // second derivative is twice second order Taylor coef
         ddp     = f.Forward(2, ddz);
         ddp[0] *= 2.;
      }
   }
   size_t thread                   = CppAD::thread_alloc::thread_num();
   global_cppad_thread_alloc_inuse = CppAD::thread_alloc::inuse(thread);
   return true;
}
/* {xrst_code}
{xrst_spell_on}

{xrst_end cppad_poly.cpp}