src/main/cpp/numerics4cpp/integration/romberg.h

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00001 /*
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00035 
00036 #ifndef _NUMERICS4CPP_INTEGRATION_ROMBERG_H_
00037 #define _NUMERICS4CPP_INTEGRATION_ROMBERG_H_
00038 
00039 #include <vector>
00040 #include "trapezoid.h"
00041 
00042 NUM_NAMESPACE_BEGIN
00043 
00083 template<class Function>
00084 class romberg_integrator : public iterative_method {
00085 
00086 public:
00093     romberg_integrator(Function& f, unsigned int iterations = 100,
00094         double relative_error = 1.0e-15)
00095         : iterative_method(iterations, relative_error), _function(f)
00096     {
00097     }
00098     
00102     ~romberg_integrator() {
00103     }
00104 
00111     double integrate(double a, double b) {
00112         trapezoidal_integrator_state<Function> state(_function, a, b);
00113 
00114         std::vector<double> r0, r1;
00115         double error = std::numeric_limits<double>::max();
00116         unsigned int n;
00117         
00118         r0.push_back(state.result());
00119         do {
00120             state.iterate();
00121             n = state.iterations();
00122             
00123             r1.resize(0);
00124             r1.push_back(state.result());
00125             double d = 4.0;
00126             for (unsigned int i = 0; i < n; ++i) {
00127                 r1.push_back(r1[i] + (r1[i] - r0[i]) / (d - 1.0));
00128                 d *= 4.0;
00129             }
00130             error = std::fabs(r1[n] / r0[n - 1] - 1.0);
00131             r0 = r1;
00132             r1.resize(0);
00133         } while (n < maximum_iterations() && error > maximum_relative_error());
00134         
00135         if (n >= maximum_iterations()) {
00136             throw new convergence_exception(
00137                 "Romberg integration failed to converge.");
00138         }
00139         
00140         return r0[r0.size() - 1];
00141     }
00142     
00143 private:
00145     Function& _function;
00146 };
00147 
00148 NUM_NAMESPACE_END
00149 
00150 #endif

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