/* Boost numeric test of the adams-bashforth steppers test file Copyright 2013 Karsten Ahnert Copyright 2013-2015 Mario Mulansky Distributed under the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt) */ // disable checked iterator warning for msvc #include #ifdef BOOST_MSVC #pragma warning(disable:4996) #endif #define BOOST_TEST_MODULE numeric_adaptive_adams_bashforth_moulton #include #include #include #include #include #include using namespace boost::unit_test; using namespace boost::numeric::odeint; namespace mpl = boost::mpl; typedef double value_type; typedef boost::array< double , 2 > state_type; typedef runge_kutta_fehlberg78 initializing_stepper; // harmonic oscillator, analytic solution x[0] = sin( t ) struct osc { void operator()( const state_type &x , state_type &dxdt , const double t ) const { dxdt[0] = x[1]; dxdt[1] = -x[0]; } }; BOOST_AUTO_TEST_SUITE( numeric_adaptive_adams_bashforth_moulton_test ) /* generic test for all adams bashforth steppers */ template< class Stepper > struct perform_adaptive_adams_bashforth_moulton_test { void operator()( void ) { Stepper stepper; initializing_stepper init_stepper; const int o = stepper.order()+1; //order of the error is order of approximation + 1 const state_type x0 = {{ 0.0 , 1.0 }}; state_type x1 = x0; double t = 0.0; double dt = 0.25; // initialization, does a number of steps to self-start the stepper with a small stepsize stepper.initialize( init_stepper, osc() , x1 , t , dt); double A = std::sqrt( x1[0]*x1[0] + x1[1]*x1[1] ); double phi = std::asin(x1[0]/A) - t; // now we do the actual step stepper.do_step( osc() , x1 , t , dt ); // only examine the error of the adams-bashforth step, not the initialization const double f = 2.0 * std::abs( A*sin(t+dt+phi) - x1[0] ) / std::pow( dt , o ); // upper bound std::cout << o << " , " << f << std::endl; /* as long as we have errors above machine precision */ while( f*std::pow( dt , o ) > 1E-16 ) { x1 = x0; t = 0.0; stepper.initialize( init_stepper, osc() , x1 , t , dt ); A = std::sqrt( x1[0]*x1[0] + x1[1]*x1[1] ); phi = std::asin(x1[0]/A) - t; // now we do the actual step stepper.do_step( osc() , x1 , t , dt ); stepper.reset(); // only examine the error of the adams-bashforth step, not the initialization std::cout << "Testing dt=" << dt << " , " << std::abs( A*sin(t+dt+phi) - x1[0] ) << std::endl; BOOST_CHECK_LT( std::abs( A*sin(t+dt+phi) - x1[0] ) , f*std::pow( dt , o ) ); dt *= 0.5; } } }; typedef mpl::vector< adaptive_adams_bashforth_moulton< 2 , state_type > , adaptive_adams_bashforth_moulton< 3 , state_type > , adaptive_adams_bashforth_moulton< 4 , state_type > , adaptive_adams_bashforth_moulton< 5 , state_type > , adaptive_adams_bashforth_moulton< 6 , state_type > , adaptive_adams_bashforth_moulton< 7 , state_type > > adaptive_adams_bashforth_moulton_steppers; BOOST_AUTO_TEST_CASE_TEMPLATE( adaptive_adams_bashforth_moulton_test , Stepper, adaptive_adams_bashforth_moulton_steppers ) { perform_adaptive_adams_bashforth_moulton_test< Stepper > tester; tester(); } BOOST_AUTO_TEST_SUITE_END()