\(\newcommand{\W}[1]{ \; #1 \; }\) \(\newcommand{\R}[1]{ {\rm #1} }\) \(\newcommand{\B}[1]{ {\bf #1} }\) \(\newcommand{\D}[2]{ \frac{\partial #1}{\partial #2} }\) \(\newcommand{\DD}[3]{ \frac{\partial^2 #1}{\partial #2 \partial #3} }\) \(\newcommand{\Dpow}[2]{ \frac{\partial^{#1}}{\partial {#2}^{#1}} }\) \(\newcommand{\dpow}[2]{ \frac{ {\rm d}^{#1}}{{\rm d}\, {#2}^{#1}} }\)
switch_var_dyn.cpp¶
View page sourceSwitching Between Variables and Dynamic Parameters: Example and Test¶
Function¶
For each ADFun object there is a corresponding function \(f(x, p)\) where x is the vector of independent variables and p is the vector of independent dynamic parameters.
Convert a Function to a Graph¶
The to_graph routine can be used to convert a ADFun
to a graph representation; see cpp_ad_graph .
Convert a Graph to a Function¶
The from_graph routine can be used to convert a graph back
to a function. During this conversion, it is possible to change
dynamic parameters to variables and variables to dynamic parameters;
see dyn2var and var2dyn in the
from_graph
documentation.
Note that many such conversions can be done
using the same cpp_ad_graph
object.
Source Code¶
# include <cppad/cppad.hpp>
bool switch_var_dyn(void)
{ bool ok = true;
using std::string;
//
// f(x_0, x_1, x_2) = y_0 = x_2 * ( x_0 + x_1 );
CPPAD_TESTVECTOR( CppAD::AD<double> ) ax(3), ay(1);
for(size_t j = 0; j < 3; ++j)
ax[j] = CppAD::AD<double>(j);
Independent(ax);
ay[0] = ax[2] * ( ax[0] + ax[1] );
CppAD::ADFun<double> f(ax, ay);
ok &= f.Domain() == 3;
ok &= f.Range() == 1;
ok &= f.size_dyn_ind() == 0;
//
// set independent variables and parameters
CPPAD_TESTVECTOR(double) p(0), x(3);
x[0] = 2.0;
x[1] = 3.0;
x[2] = 4.0;
//
// compute y = f(x)
f.new_dynamic(p);
CPPAD_TESTVECTOR(double) y = f.Forward(0, x);
//
// check result
ok &= y[0] == x[2] * ( x[0] + x[1] );
// -----------------------------------------------------------------------
//
// C++ graph object
CppAD::cpp_graph graph_obj;
f.to_graph(graph_obj);
//
// change x[0]->p[0], x[1]->p[1], x[2]->x[0]
CppAD::vector<bool> dyn2var(0), var2dyn(3);
var2dyn[0] = true;
var2dyn[1] = true;
var2dyn[2] = false;
f.from_graph(graph_obj, dyn2var, var2dyn);
p.resize(2);
x.resize(1);
//
ok &= f.Domain() == 1;
ok &= f.Range() == 1;
ok &= f.size_dyn_ind() == 2;
//
// set independent variables and parameters
p[0] = 1.0;
p[1] = 2.0;
x[0] = 3.0;
//
// compute y = f(x, p)
f.new_dynamic(p);
y = f.Forward(0, x);
//
// check result
ok &= y[0] == x[0] * ( p[0] + p[1] );
//
return ok;
}