aimsalgo
5.1.2
Neuroimaging image processing
levmrq.h
Go to the documentation of this file.
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/* This software and supporting documentation are distributed by
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* Institut Federatif de Recherche 49
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* CEA/NeuroSpin, Batiment 145,
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* 91191 Gif-sur-Yvette cedex
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* France
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*
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* This software is governed by the CeCILL-B license under
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* French law and abiding by the rules of distribution of free software.
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* You can use, modify and/or redistribute the software under the
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* terms of the CeCILL-B license as circulated by CEA, CNRS
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* and INRIA at the following URL "http://www.cecill.info".
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*
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* As a counterpart to the access to the source code and rights to copy,
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* modify and redistribute granted by the license, users are provided only
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* with a limited warranty and the software's author, the holder of the
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* economic rights, and the successive licensors have only limited
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* liability.
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*
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* with loading, using, modifying and/or developing or reproducing the
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* software by the user in light of its specific status of free software,
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* that may mean that it is complicated to manipulate, and that also
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* therefore means that it is reserved for developers and experienced
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* professionals having in-depth computer knowledge. Users are therefore
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* encouraged to load and test the software's suitability as regards their
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* requirements in conditions enabling the security of their systems and/or
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* data to be ensured and, more generally, to use and operate it in the
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* same conditions as regards security.
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*
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* The fact that you are presently reading this means that you have had
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* knowledge of the CeCILL-B license and that you accept its terms.
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*/
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#ifndef AIMS_OPTIMIZATION_LEVMRQ_H
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#define AIMS_OPTIMIZATION_LEVMRQ_H
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#include <
aims/config/aimsalgo_config.h
>
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#include <
aims/def/general.h
>
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#include <
aims/math/gaussj.h
>
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#include <
aims/optimization/lmfunc.h
>
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#include <
aims/optimization/covsrt.h
>
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#include <
cartobase/smart/rcptr.h
>
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namespace
carto
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{
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template
<
class
T>
class
Volume;
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template
<
class
T>
class
VolumeRef;
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}
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template
<
class
T >
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class
LevenbergMarquardt
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{
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public
:
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LevenbergMarquardt
(
LMFunction< T >
*lmf ) { lmFonc = lmf; }
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virtual
~LevenbergMarquardt
() { }
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LMFunction< T >
*
doit
(
carto::rc_ptr
<
carto::Volume< T >
>&,
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carto::rc_ptr
<
carto::Volume< T >
>&,
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carto::rc_ptr
<
carto::Volume< T >
> *sig=NULL,
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carto::rc_ptr
<
carto::Volume< int >
> *ia=NULL,
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carto::rc_ptr
<
carto::Volume< T >
> *covar=NULL );
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private
:
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GaussJordan< T >
gaussj;
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CovarianceStorage< T >
covsrt;
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LMFunction< T >
*lmFonc;
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bool
mrqmin(
carto::rc_ptr
<
carto::Volume< T >
>&,
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carto::rc_ptr
<
carto::Volume< T >
>&,
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carto::rc_ptr
<
carto::Volume< T >
>&,
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carto::rc_ptr
<
carto::Volume< int >
>&, T *, T *,
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carto::rc_ptr
<
carto::Volume< T >
>&,
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carto::rc_ptr
<
carto::Volume< T >
>& );
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void
mrqcof(
carto::rc_ptr
<
carto::Volume< T >
>&,
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carto::rc_ptr
<
carto::Volume< T >
>&,
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carto::rc_ptr
<
carto::Volume< T >
>&,
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carto::rc_ptr
<
carto::Volume< int >
>&, T *,
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carto::rc_ptr
<
carto::Volume< T >
>&,
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carto::rc_ptr
<
carto::Volume< T >
>& );
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};
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#endif
aimsalgo_config.h
CovarianceStorage
Definition:
covsrt.h:50
GaussJordan
Definition:
gaussj.h:50
LMFunction
Definition:
lmfunc.h:43
LevenbergMarquardt
Definition:
levmrq.h:54
LevenbergMarquardt::doit
LMFunction< T > * doit(carto::rc_ptr< carto::Volume< T > > &, carto::rc_ptr< carto::Volume< T > > &, carto::rc_ptr< carto::Volume< T > > *sig=NULL, carto::rc_ptr< carto::Volume< int > > *ia=NULL, carto::rc_ptr< carto::Volume< T > > *covar=NULL)
LevenbergMarquardt::LevenbergMarquardt
LevenbergMarquardt(LMFunction< T > *lmf)
Definition:
levmrq.h:57
LevenbergMarquardt::~LevenbergMarquardt
virtual ~LevenbergMarquardt()
Definition:
levmrq.h:58
carto::Volume
carto::rc_ptr
covsrt.h
gaussj.h
general.h
lmfunc.h
carto
rcptr.h
aims
optimization
levmrq.h
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