aimsdata 6.0.0
Neuroimaging data handling
rombergitg.h
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33
34/*
35 * Romberg's numerical integration.
36 */
37#ifndef AIMS_MATH_ROMBERGITG_H
38#define AIMS_MATH_ROMBERGITG_H
39
40
41#include <cstdlib>
43#include <aims/math/lagrange.h>
44#include <math.h>
45
46
47namespace aims
48{
49
50template <class REAL>
52{
53 public:
54
55 RombergIntegratorOf( const REAL &eps, int jmax, int k ) : _eps( eps ),
56 _jmax( jmax ),
57 _k( k ) { }
59
60 virtual REAL eval( const Integrable& func, REAL a, REAL b ) const;
61
62 private:
63
64 REAL _eps;
65 int _jmax;
66 int _k;
67};
68
69template <class REAL>
71 REAL a, REAL b ) const
72{
73 REAL ss, dss;
74 std::vector< REAL > s( _jmax ), h( _jmax + 1 );
75
76 if( a == b )
77 return 0.0;
78
79 h[ 0 ] = 1.0;
80 for( int j = 0; j < _jmax; j++ )
81 {
83 s[ j ] = integrator.stage( func, a, b, j + 1 );
84 if( j + 1 >= _k )
85 {
86 std::vector< REAL > tmph( _k ), tmps( _k );
87 for( int kk = 0; kk < _k; kk++ )
88 {
89 tmph[ kk ] = h[ j - _k + kk + 1 ];
90 tmps[ kk ] = s[ j - _k + kk + 1 ];
91 }
92 ss = AimsLagrangeInterpolation( tmph, tmps, REAL(0.0), &dss );
93 if( fabs( dss ) <= _eps * fabs( ss ) )
94 return ss;
95 }
96 h[ j + 1 ] = 0.25 * h[ j ];
97 }
98 return 0.0;
99}
100
101
102// For backward compatibility
104
105} // namespace aims
106
107#endif
virtual REAL eval(const Integrable &func, REAL a, REAL b) const
Definition rombergitg.h:70
RombergIntegratorOf(const REAL &eps, int jmax, int k)
Definition rombergitg.h:55
virtual REAL stage(const Integrable &func, REAL a, REAL b, int n) const
Definition trapezeitg.h:67
The class for EcatSino data write operation.
IntegrableOf< float > Integrable
Definition integrator.h:67
AIMSDATA_API REAL AimsLagrangeInterpolation(const std::vector< REAL > &xa, const std::vector< REAL > &ya, REAL x, REAL *dy)
Returns the interpolation of a function defined at (xa,ya) points at x (dy is the error)
Definition lagrange.h:56
RombergIntegratorOf< float > RombergIntegrator
Definition rombergitg.h:103