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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
// ----------------------------------------------------------------------------
/*
Old example now used just for validation testing.
*/
# include <cppad/cppad.hpp>
bool log10(void)
{ bool ok = true;
using CppAD::log10;
using CppAD::log;
using namespace CppAD;
double eps99 = 99.0 * std::numeric_limits<double>::epsilon();
// independent variable vector, indices, values, and declaration
CPPAD_TESTVECTOR(AD<double>) U(1);
size_t s = 0;
U[s] = 10.;
Independent(U);
// dependent variable vector, indices, and values
CPPAD_TESTVECTOR(AD<double>) Z(2);
size_t x = 0;
size_t y = 1;
Z[x] = log10(U[s]);
Z[y] = log10(Z[x]);
// define f : U -> Z and vectors for derivative calculations
ADFun<double> f(U, Z);
CPPAD_TESTVECTOR(double) v( f.Domain() );
CPPAD_TESTVECTOR(double) w( f.Range() );
// check values
ok &= NearEqual(Z[x] , 1., eps99 , eps99);
ok &= NearEqual(Z[y] , 0., eps99 , eps99);
// forward computation of partials w.r.t. s
double l10 = log(10.);
v[s] = 1.;
w = f.Forward(1, v);
ok &= NearEqual(w[x], 1./(U[s]*l10) , eps99 , eps99); // dx/ds
ok &= NearEqual(w[y], 1./(U[s]*Z[x]*l10*l10), eps99 , eps99); // dy/ds
// reverse computation of partials of y
w[x] = 0.;
w[y] = 1.;
v = f.Reverse(1,w);
ok &= NearEqual(v[s], 1./(U[s]*Z[x]*l10*l10), eps99 , eps99); // dy/ds
return ok;
}
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