// $Id: neg.cpp 3785 2016-02-08 12:53:06Z bradbell $
/* --------------------------------------------------------------------------
CppAD: C++ Algorithmic Differentiation: Copyright (C) 2003-15 Bradley M. Bell
CppAD is distributed under multiple licenses. This distribution is under
the terms of the
GNU General Public License Version 3.
A copy of this license is included in the COPYING file of this distribution.
Please visit http://www.coin-or.org/CppAD/ for information on other licenses.
-------------------------------------------------------------------------- */
/*
old example and test now only used for testing
*/
// BEGIN C++
# include <cppad/cppad.hpp>
bool Neg(void)
{ bool ok = true;
using namespace CppAD;
// independent variable vector, indices, values, and declaration
CPPAD_TESTVECTOR(AD<double>) U(2);
size_t s = 0;
size_t t = 1;
U[s] = 3.;
U[t] = 4.;
Independent(U);
// dependent variable vector and indices
CPPAD_TESTVECTOR(AD<double>) Z(1);
size_t x = 0;
// dependent variable values
Z[x] = - U[t]; // - AD<double>
// create f: U -> Z and vectors used for derivative calculations
ADFun<double> f(U, Z);
CPPAD_TESTVECTOR(double) v( f.Domain() );
CPPAD_TESTVECTOR(double) w( f.Range() );
// check values
ok &= ( Z[x] == -4. );
// forward computation of partials w.r.t. s
v[s] = 1.;
v[t] = 0.;
w = f.Forward(1, v);
ok &= ( w[x] == 0. ); // dx/ds
// forward computation of partials w.r.t. t
v[s] = 0.;
v[t] = 1.;
w = f.Forward(1, v);
ok &= ( w[x] == -1. ); // dx/dt
// reverse computation of second partials of z
CPPAD_TESTVECTOR(double) r( f.Domain() * 2 );
w[x] = 1.;
r = f.Reverse(2, w);
ok &= ( r[2 * s + 1] == 0. ); // d^2 x / (ds ds)
ok &= ( r[2 * t + 1] == 0. ); // d^2 x / (ds dt)
return ok;
}
// END C++