levmrq.h

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#ifndef AIMS_OPTIMIZATION_LEVMRQ_H
#define AIMS_OPTIMIZATION_LEVMRQ_H

#include <aims/config/aimsalgo_config.h>
#include <aims/def/general.h>
#include <aims/math/gaussj.h>
#include <aims/optimization/lmfunc.h>
#include <aims/optimization/covsrt.h>

template <class T> class AimsData;


template < class T >
class LevenbergMarquardt
{
public:

  LevenbergMarquardt( LMFunction< T > *lmf )  { lmFonc = lmf; }
  virtual ~LevenbergMarquardt() { }

  LMFunction< T > *doit( AimsData< T >&, AimsData< T >&, 
                         AimsData< T > *sig=NULL, AimsData< int > *ia=NULL,
                         AimsData< T > *covar=NULL );

private:

  GaussJordan< T > gaussj;
  CovarianceStorage< T > covsrt;

  LMFunction< T > *lmFonc;

  bool mrqmin( AimsData< T >&, AimsData< T >&, AimsData< T >&, 
               AimsData< int >&, T *, T *, AimsData< T >&, AimsData< T >& );

  void mrqcof( AimsData< T >&, AimsData< T >&, AimsData< T >&, 
               AimsData< int >&, T *, AimsData< T >&, AimsData< T >& );
};

#endif