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// SPDX-License-Identifier: EPL-2.0 OR GPL-2.0-or-later
// SPDX-FileCopyrightText: Bradley M. Bell <bradbell@seanet.com>
// SPDX-FileContributor: 2003-22 Bradley M. Bell
// ----------------------------------------------------------------------------
/*
Two old example now used just for valiadation testing
*/
# include <cppad/cppad.hpp>
namespace { // BEGIN empty namespace
bool AddEqOne(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] = 2.;
Independent(U);
// dependent variable vector and indices
CPPAD_TESTVECTOR(AD<double>) Z(2);
size_t x = 0;
size_t y = 1;
// dependent variable values
Z[x] = 4.;
Z[y] = U[t];
Z[x] += U[s]; // parameter += variable
Z[x] += U[t]; // variable += variable
Z[y] += .5; // variable += double
// use .5 because it is represented exactly in binary and
// because it makes sure that += does not slice the double to an int
// 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 function values
ok &= ( Z[x] == 4. + 3. + 2. );
ok &= ( Z[y] == 2. + .5 );
// forward computation of partials w.r.t. s
v[s] = 1.;
v[t] = 0.;
w = f.Forward(1, v);
ok &= ( w[x] == 1. ); // dx/ds
ok &= ( w[y] == 0. ); // dy/ds
// reverse computation of second partials of x
CPPAD_TESTVECTOR(double) r( f.Domain() * 2 );
w[x] = 1.;
w[y] = 0.;
r = f.Reverse(2, w);
ok &= ( r[2 * s + 1] == 0. );
ok &= ( r[2 * t + 1] == 0. );
return ok;
}
bool AddEqTwo(void)
{ bool ok = true;
using namespace CppAD;
double eps99 = 99.0 * std::numeric_limits<double>::epsilon();
// independent variable vector
double u0 = .5;
CPPAD_TESTVECTOR(AD<double>) U(1);
U[0] = u0;
Independent(U);
// dependent variable vector
CPPAD_TESTVECTOR(AD<double>) Z(1);
Z[0] = U[0]; // initial value
Z[0] += 2; // AD<double> += int
Z[0] += 4.; // AD<double> += double
Z[0] += U[0]; // AD<double> += AD<double>
// create f: U -> Z and vectors used for derivative calculations
ADFun<double> f(U, Z);
CPPAD_TESTVECTOR(double) v(1);
CPPAD_TESTVECTOR(double) w(1);
// check value
ok &= NearEqual(Z[0] , u0+2+4+u0, eps99 , eps99);
// forward computation of partials w.r.t. u
size_t j;
size_t p = 5;
double jfac = 1.;
double value = 2.;
v[0] = 1.;
for(j = 1; j < p; j++)
{ jfac *= double(j);
w = f.Forward(j, v);
ok &= NearEqual(w[0], value/jfac, eps99, eps99); // d^jz/du^j
v[0] = 0.;
value = 0.;
}
// reverse computation of partials of Taylor coefficients
CPPAD_TESTVECTOR(double) r(p);
w[0] = 1.;
r = f.Reverse(p, w);
jfac = 1.;
value = 2.;
for(j = 0; j < p; j++)
{ ok &= NearEqual(r[j], value/jfac, eps99, eps99); // d^jz/du^j
jfac *= double(j + 1);
value = 0.;
}
return ok;
}
} // END empty namespace
bool AddEq(void)
{ bool ok = true;
ok &= AddEqOne();
ok &= AddEqTwo();
return ok;
}
// END PROGRAM
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