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1 /*
2  * lorenz_gmpxx.cpp
3  *
4  * This example demonstrates how odeint can be used with arbitrary precision types.
5  *
6  * Copyright 2011-2012 Karsten Ahnert
7  * Copyright 2011-2012 Mario Mulansky
8  *
9  * Distributed under the Boost Software License, Version 1.0.
10  * (See accompanying file LICENSE_1_0.txt or
11  * copy at http://www.boost.org/LICENSE_1_0.txt)
12  */
13 
14 
15 
16 #include <iostream>
17 #include <boost/array.hpp>
18 
19 #include <gmpxx.h>
20 
21 #include <boost/numeric/odeint.hpp>
22 
23 using namespace std;
24 using namespace boost::numeric::odeint;
25 
26 //[ gmpxx_lorenz
27 typedef mpf_class value_type;
28 typedef boost::array< value_type , 3 > state_type;
29 
30 struct lorenz
31 {
operator ()lorenz32     void operator()( const state_type &x , state_type &dxdt , value_type t ) const
33     {
34         const value_type sigma( 10.0 );
35         const value_type R( 28.0 );
36         const value_type b( value_type( 8.0 ) / value_type( 3.0 ) );
37 
38         dxdt[0] = sigma * ( x[1] - x[0] );
39         dxdt[1] = R * x[0] - x[1] - x[0] * x[2];
40         dxdt[2] = -b * x[2] + x[0] * x[1];
41     }
42 };
43 //]
44 
45 
46 
47 
48 struct streaming_observer
49 {
50     std::ostream& m_out;
51 
streaming_observerstreaming_observer52     streaming_observer( std::ostream &out ) : m_out( out ) { }
53 
54     template< class State , class Time >
operator ()streaming_observer55     void operator()( const State &x , Time t ) const
56     {
57         m_out << t;
58         for( size_t i=0 ; i<x.size() ; ++i ) m_out << "\t" << x[i] ;
59         m_out << "\n";
60     }
61 };
62 
63 
64 
65 
66 
67 
main(int argc,char ** argv)68 int main( int argc , char **argv )
69 {
70     //[ gmpxx_integration
71     const int precision = 1024;
72     mpf_set_default_prec( precision );
73 
74     state_type x = {{ value_type( 10.0 ) , value_type( 10.0 ) , value_type( 10.0 ) }};
75 
76     cout.precision( 1000 );
77     integrate_const( runge_kutta4< state_type , value_type >() ,
78             lorenz() , x , value_type( 0.0 ) , value_type( 10.0 ) , value_type( value_type( 1.0 ) / value_type( 10.0 ) ) ,
79             streaming_observer( cout ) );
80     //]
81 
82     return 0;
83 }
84