Collaboration diagram for Objective functions for iterative estimation of variables:

Modules
	Priors and penalties for MAP

Files
file	PoissonLogLikelihoodWithLinearModelForMeanAndDynamicProjData.cxx
	Implementation of class stir::PoissonLogLikelihoodWithLinearModelForMeanAndDynamicProjData.

file	GeneralisedObjectiveFunction.h
	Declaration of class stir::GeneralisedObjectiveFunction.

file	PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData.h
	Declaration of class stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData.

file	PoissonLogLikelihoodWithLinearModelForMean.h
	Declaration of class stir::PoissonLogLikelihoodWithLinearModelForMean.

file	PoissonLogLikelihoodWithLinearModelForMeanAndGatedProjDataWithMotion.h
	Declaration of class stir::PoissonLogLikelihoodWithLinearModelForMeanAndGatedProjDataWithMotion.

file	PoissonLogLikelihoodWithLinearModelForMeanAndListModeData.h
	Declaration of class stir::PoissonLogLikelihoodWithLinearModelForMeanAndListModeData.

file	PoissonLogLikelihoodWithLinearModelForMeanAndListModeDataWithProjMatrixByBin.h
	Declaration of class stir::PoissonLogLikelihoodWithLinearModelForMeanAndListModeDataWithProjMatrixByBin.

file	PoissonLogLikelihoodWithLinearModelForMeanAndProjData.h
	Declaration of class stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData.

file	PoissonLogLikelihoodWithLinearModelForMeanAndDynamicProjData.h
	Declaration of class stir::PoissonLogLikelihoodWithLinearModelForMeanAndDynamicProjData.

file	GeneralisedObjectiveFunction.cxx
	Declaration of class stir::GeneralisedObjectiveFunction.

file	PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData.cxx
	Instantiations for class stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData.

file	PoissonLogLikelihoodWithLinearModelForMean.cxx
	Implementation of class stir::PoissonLogLikelihoodWithLinearModelForMean.

file	PoissonLogLikelihoodWithLinearModelForMeanAndGatedProjDataWithMotion.cxx
	Instantiations for class stir::PoissonLogLikelihoodWithLinearModelForMeanAndGatedProjDataWithMotion.

file	PoissonLogLikelihoodWithLinearModelForMeanAndListModeData.cxx
	Declaration of class stir::PoissonLogLikelihoodWithLinearModelForMeanAndListModeData.

file	PoissonLogLikelihoodWithLinearModelForMeanAndListModeDataWithProjMatrixByBin.cxx
	Implementation of class stir::PoissonLogLikelihoodWithLinearModelForMeanAndListModeDataWithProjMatrixByBin.

file	PoissonLogLikelihoodWithLinearModelForMeanAndProjData.cxx
	Declaration of class stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData.

Classes
class	stir::GeneralisedObjectiveFunction< TargetT >
	A base class for 'generalised' objective functions, i.e. objective functions for which at least a 'gradient' is defined. More...

class	stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >
	a base class for LogLikelihood of independent Poisson variables where the mean values are linear combinations of the kinetic parameters. More...

class	stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >
	a base class for LogLikelihood of independent Poisson variables where the mean values are linear combinations of the parameters. More...

class	stir::PoissonLogLikelihoodWithLinearModelForMeanAndGatedProjDataWithMotion< TargetT >
	a base class for LogLikelihood of independent Poisson variables where the mean values are linear combinations of the gated images. More...

class	stir::PoissonLogLikelihoodWithLinearModelForMeanAndListModeData< TargetT >
	An objective function class appropriate for PET list mode data. More...

class	stir::PoissonLogLikelihoodWithLinearModelForMeanAndListModeDataWithProjMatrixByBin< TargetT >
	Class for PET list mode data from static images for a scanner with discrete detectors. More...

class	stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >
	An objective function class appropriate for PET emission data. More...

class	stir::PoissonLogLikelihoodWithLinearModelForMeanAndDynamicProjData< TargetT >
	a base class for LogLikelihood of independent Poisson variables where the mean values are linear combinations of the frames. More...

Detailed Description

Everything related to objective functions, i.e. functions that need to be 'optimised' in some way.

Modules

Files

Classes

Detailed Description