HollingII.cpp

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#include <admodel.h>
#include <df1b2fun.h>
#include <adrndeff.h> 


/*---------------------------------------------2nd variable is a scalar*/
dvariable HollingII(const double& x,  const prevariable& alpha,  const prevariable& h)
{
    RETURN_ARRAYS_INCREMENT();  
  dvariable y;
  y=alpha*x/(1.0+alpha*(h*x));

  RETURN_ARRAYS_DECREMENT();
  return (y);
}
dvar_vector HollingII(const dvector& x,  const prevariable& alpha,  const prevariable& h)
{
    RETURN_ARRAYS_INCREMENT();  
  dvar_vector y;
  y=elem_div(alpha*x, 1.0+alpha*(h*x));

  RETURN_ARRAYS_DECREMENT();  
    return (y);
}
dvar_vector HollingII(const dvector& x,  const dvar_vector& alpha,  const prevariable& h)
{
    RETURN_ARRAYS_INCREMENT();  
  dvar_vector y;
  y=elem_div(elem_prod(alpha,x), 1.0+elem_prod(alpha, (h*x)));

  RETURN_ARRAYS_DECREMENT();  
    return (y);
}
/*---------------------------------------------2nd variable is a vector*/
dvar_vector HollingII(const dvector& x,  const prevariable& alpha,  const dvar_vector& h)
{
    RETURN_ARRAYS_INCREMENT();  
  dvar_vector y;
  y=elem_div(alpha*x, 1.0+alpha*elem_prod(h,x));

  RETURN_ARRAYS_DECREMENT();  
    return (y);
}
dvar_vector HollingII(const dvector& x,  const dvar_vector& alpha,  const dvar_vector& h)
{
    RETURN_ARRAYS_INCREMENT();  
  dvar_vector y;
  y=elem_div(elem_prod(alpha,x), 1.0+elem_prod(alpha, elem_prod(h,x)));

  RETURN_ARRAYS_DECREMENT();  
    return (y);
}
/*---------------------------------------------2nd variable is a scalar in a random effects model*/
/*----------------------1st varible contains random effects*/
df1b2variable HollingII(const double& x,  const df1b2variable& alpha,  const df1b2variable& h)
{
  df1b2variable y;
  y=alpha*x/(1.0+alpha*(h*x));

    return (y);
}
df1b2vector HollingII(const dvector& x,  const df1b2variable& alpha,  const df1b2variable& h)
{
  df1b2vector y;
  y=elem_div(alpha*x, 1.0+alpha*(h*x));

    return(y);
}
df1b2vector HollingII(const dvector& x,  const df1b2vector& alpha,  const df1b2variable& h)
{
  df1b2vector y;
  y=elem_div(elem_prod(alpha,x), 1.0+elem_prod(alpha, (h*x)));

    return(y);
}

/*---------------------------------------------2nd variable is a vector in a random effects model*/
/*----------------------1st varible contains random effects*/
df1b2vector HollingII(const dvector& x,  const df1b2variable& alpha,  const df1b2vector& h)
{
  df1b2vector y;
  y=elem_div(alpha*x, 1.0+alpha*elem_prod(h,x));

    return(y);
}
df1b2vector HollingII(const dvector& x,  const df1b2vector& alpha,  const df1b2vector& h)
{
  df1b2vector y;
  y=elem_div(elem_prod(alpha,x), 1.0+elem_prod(alpha, elem_prod(h,x)));

    return(y);
}