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mod_mc4.cpp
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1 
8 #include <admodel.h>
9 
11 {
12  //initial_params::xinit(x);
13  double f=0.0;
14  {
15  dvariable vf=0.0;
18  userfunction();
20  f=value(vf);
21  }
22  return f;
23 }
#define x
Vector of double precision numbers.
Definition: dvector.h:50
static dvariable reset(const dvar_vector &x)
Definition: model.cpp:345
ADMB variable vector.
Definition: fvar.hpp:2172
static objective_function_value * pobjfun
Definition: admodel.h:2394
Description not yet available.
dvector value(const df1_one_vector &v)
Definition: df11fun.cpp:69
virtual void userfunction(void)=0
double get_monte_carlo_value(int nvar, const independent_variables &x)
Definition: mod_mc2.cpp:11
Fundamental data type for reverse mode automatic differentiation.
Definition: fvar.hpp:1518