\(\newcommand{\B}[1]{ {\bf #1} }\) \(\newcommand{\R}[1]{ {\rm #1} }\)
fun_forward_xam.cpp#
View page sourceC++: Forward Mode AD: Example and Test#
# include <cstdio>
# include <cppad/py/cppad_py.hpp>
bool fun_forward_xam(void) {
using cppad_py::a_double;
using cppad_py::vec_double;
using cppad_py::vec_a_double;
using cppad_py::d_fun;
using cppad_py::a_fun;
//
// initialize return variable
bool ok = true;
// ----------------------------------------------------------------------
// number of dependent and independent variables
int n_dep = 1;
int n_ind = 2;
//
// create the independent variables ax
vec_double xp(n_ind);
for(int i = 0; i < n_ind ; i++) {
xp[i] = i + 1.0;
}
vec_a_double ax = cppad_py::independent(xp);
//
// create dependent varialbes ay with ay0 = ax0 * ax1
a_double ax0 = ax[0];
a_double ax1 = ax[1];
vec_a_double ay(n_dep);
ay[0] = ax0 * ax1;
//
// define af corresponding to f(x) = x0 * x1
d_fun f(ax, ay);
ok &= f.size_order() == 0;
//
// define X(t) = (3 + t, 2 + t)
// it follows that Y(t) = f(X(t)) = (3 + t) * (2 + t)
//
// Y(0) = 6 and p ! = 1
int p = 0;
xp[0] = 3.0;
xp[1] = 2.0;
vec_double yp = f.forward(p, xp);
ok = ok && yp[0] == 6.0;
ok &= f.size_order() == 1;
//
// first order Taylor coefficients for X(t)
p = 1;
xp[0] = 1.0;
xp[1] = 1.0;
//
// first order Taylor coefficient for Y(t)
// Y'(0) = 3 + 2 = 5 and p ! = 1
yp = f.forward(p, xp);
ok = ok && yp[0] == 5.0;
ok &= f.size_order() == 2;
//
// second order Taylor coefficients for X(t)
p = 2;
xp[0] = 0.0;
xp[1] = 0.0;
//
// second order Taylor coefficient for Y(t)
// Y''(0) = 2.0 and p ! = 2
yp = f.forward(p, xp);
ok = ok && yp[0] == 1.0;
ok &= f.size_order() == 3;
// ----------------------------------------------------------------------
a_fun af(f);
ok &= af.size_order() == 0;
//
// zero order forward
vec_a_double axp(n_ind), ayp(n_dep);
p = 0;
axp[0] = 3.0;
axp[1] = 2.0;
ayp = af.forward(p, axp);
ok = ok && ayp[0] == 6.0;
ok &= af.size_order() == 1;
//
return( ok );
}