vnl_chi_squared.h

InsightToolkit-1.4.0(有大量的优化算法程序)

// This is vxl/vnl/algo/vnl_chi_squared.h
#ifndef vnl_chi_squared_h_
#define vnl_chi_squared_h_
#ifdef VCL_NEEDS_PRAGMA_INTERFACE
#pragma interface
#endif
//:
// \file
// \brief Name space for various chi-squared distribution functions.
// \author Rupert Curwen, GE CRD
// \date   August 18th, 1998
//
// \verbatim
// Modifications
//  dac (Manchester) 26/03/2001: tidied up documentation
// \endverbatim


//: Compute cumulative distribution function value for chi-squared distribution
extern double vnl_chi_squared_cumulative(double chisq, int dof);

//------------------------------------------------------------

//: Name space for various chi-squared distribution functions.
//
//  A[] and B[] are (pointers to) arrays containing histograms.
//  If the 'normalize' parameter is true, each histogram will
//  be implicitly normalized (so as to sum to 1) before the
//  statistic is calculated :
//
//  $a[i] = A[i] / \sum_j A[j]$
//
//  $b[i] = B[i] / \sum_j B[j]$
//
//  *DO NOT* add scale factors to these functions or you will break
//  the code written by those who read the documentation. fsm.
//
// $\displaystyle   \sum_i \frac{ (a[i] - b[i])^2 }{ a[i] } $
//

template <class T>
double vnl_chi_squared_statistic_1 (T const *A, T const *B,
                                    int n, bool normalize);

//:
// $\displaystyle   \sum_i \frac{ (a[i] - b[i])^2 }{ b[i] } $
template <class T>
double vnl_chi_squared_statistic_2 (T const *A, T const *B,
                                    int n, bool normalize);

//:
// $\displaystyle   \sum_i \frac{ (a[i] - b[i])^2 }{ a[i] + b[i] } $
template <class T>
double vnl_chi_squared_statistic_12(T const *A, T const *B,
                                    int n, bool normalize);

#endif // vnl_chi_squared_h_