aimsdata  4.7.0
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>
42 #include <aims/math/trapezeitg.h>
43 #include <aims/data/data.h>
44 #include <aims/math/lagrange.h>
45 #include <math.h>
46 
47 
48 namespace aims
49 {
50 
51 template <class REAL>
53 {
54  public:
55 
56  RombergIntegratorOf( const REAL &eps, int jmax, int k ) : _eps( eps ),
57  _jmax( jmax ),
58  _k( k ) { }
59  virtual ~RombergIntegratorOf() { }
60 
61  virtual REAL eval( const Integrable& func, REAL a, REAL b ) const;
62 
63  private:
64 
65  REAL _eps;
66  int _jmax;
67  int _k;
68 };
69 
70 template <class REAL>
72  REAL a, REAL b ) const
73 {
74  REAL ss, dss;
75  AimsData< REAL > s( _jmax ), h( _jmax + 1 );
76 
77  if ( a == b )
78  return 0.0;
79 
80  h( 0 ) = 1.0;
81  for ( int j = 0; j < _jmax; j++ )
82  {
83  TrapezeIntegratorOf<REAL> integrator;
84  s( j ) = integrator.stage( func, a, b, j + 1 );
85  if ( j + 1 >= _k )
86  {
87  AimsData< REAL > tmph( _k ), tmps( _k );
88  for ( int kk = 0; kk < _k; kk++ )
89  {
90  tmph( kk ) = h( j - _k + kk + 1 );
91  tmps( kk ) = s( j - _k + kk + 1 );
92  }
93  ss = AimsLagrangeInterpolationOf<REAL>( tmph, tmps, 0.0, &dss );
94  if ( fabs( dss ) <= _eps * fabs( ss ) )
95  return ss;
96  }
97  h( j + 1 ) = 0.25 * h( j );
98  }
99  return 0.0;
100 }
101 
102 
103 // For backward compatibility
105 
106 } // namespace aims
107 
108 #endif
The class for EcatSino data write operation.
Definition: border.h:42
RombergIntegratorOf(const REAL &eps, int jmax, int k)
Definition: rombergitg.h:56
RombergIntegratorOf< float > RombergIntegrator
Definition: rombergitg.h:104
virtual ~RombergIntegratorOf()
Definition: rombergitg.h:59
virtual REAL eval(const Integrable &func, REAL a, REAL b) const
Definition: rombergitg.h:71
virtual REAL stage(const Integrable &func, REAL a, REAL b, int n) const
Definition: trapezeitg.h:67