aimsdata 6.0.0
Neuroimaging data handling
lagrange.h
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33
34/*
35 * Lagrange's interpolation.
36 */
37#ifndef AIMS_MATH_LAGRANGE_H
38#define AIMS_MATH_LAGRANGE_H
39
40#include <cstdlib>
43#include <vector>
44#include <math.h>
45
46namespace aims
47{
48
54
55template <class REAL>
56AIMSDATA_API REAL AimsLagrangeInterpolation( const std::vector<REAL> &xa,
57 const std::vector<REAL> &ya,
58 REAL x, REAL *dy )
59
60
61{
62 int i,m,ns=0,n=std::min( xa.size(), ya.size() );
63 REAL den,dif,dift,ho,hp,w;
64 REAL *c, *d, y;
65
66 dif = fabs(x-xa[0]);
67 c = new float[n];
68 d = new float[n];
69
70 for (i=0;i<n;i++) {
71 if ((dift = fabs(x-xa[i])) < dif)
72 {
73 ns = i;
74 dif = dift;
75 }
76 c[i] = ya[i];
77 d[i] = ya[i];
78 }
79
80 y = ya[ns--];
81 for (m=1;m<n;m++){
82 for (i=0;i<n-m;i++){
83 ho = xa[i] - x;
84 hp = xa[i+m] - x;
85 w = c[i+1] - d[i];
86 ASSERT( (den = ho - hp) != 0.0 );
87 den = w / den;
88 d[i] = hp * den;
89 c[i] = ho * den;
90 }
91 y += (*dy=(2*ns+2 < (n-m) ? c[ns+1] : d[ns--]));
92 }
93 delete [] c;
94 delete [] d;
95 return y;
96}
97
98} // namespace aims
99
100#endif
#define AIMSDATA_API
#define ASSERT(EX)
The class for EcatSino data write operation.
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