Optimizers
[Numerics, Components of Registration Methods]

Classes
class	AmoebaOptimizer
	Wrap of the vnl_amoeba algorithm. More...
class	ConjugateGradientOptimizer
	Wrap of the vnl_conjugate_gradient. More...
class	CostFunction
	Base class for cost functions intended to be used with Optimizers. More...
class	CumulativeGaussianOptimizer
	This is an optimizer specific to estimating the parameters of Cumulative Gaussian sampled data. More...
class	ExhaustiveOptimizer
	Optimizer that fully samples a grid on the parametric space. More...
class	FRPROptimizer
	Implements Fletch-Reeves & Polak-Ribiere optimization using dBrent line search - adapted from Numerical Recipes in C (first edition). More...
class	GradientDescentOptimizer
	Implement a gradient descent optimizer. More...
class	LBFGSBOptimizer
	Limited memory Broyden Fletcher Goldfarb Shannon minimization with simple bounds. More...
class	LBFGSOptimizer
	Wrap of the vnl_lbfgs algorithm. More...
class	LevenbergMarquardtOptimizer
	Wrap of the vnl_levenberg_marquardt algorithm. More...
class	MultipleValuedCostFunction
	This class is a base for the CostFunctions returning a multiple values. More...
class	MultipleValuedNonLinearOptimizer
	This class is a base for the Optimization methods that optimize a multiple valued function. More...
class	MultipleValuedNonLinearVnlOptimizer
	This class is a base for the Optimization methods that optimize a multi-valued function. More...
class	MultipleValuedVnlCostFunctionAdaptor
	This class is an Adaptor that allows to pass itk::MultipleValuedCostFunctions to vnl_optimizers expecting a vnl_cost_function. More...
class	NonLinearOptimizer
	Wrap of the vnl_nonlinear_minimizer to be adapted. More...
class	OnePlusOneEvolutionaryOptimizer
	1+1 evolutionary strategy optimizer More...
class	Optimizer
	Generic representation for an optimization method. More...
class	PowellOptimizer
	Implements Powell optimization using Brent line search - adapted from Numerical Recipes in C (first edition). More...
class	QuaternionRigidTransformGradientDescentOptimizer
	Implement a gradient descent optimizer. More...
class	RegularStepGradientDescentBaseOptimizer
	Implement a gradient descent optimizer. More...
class	RegularStepGradientDescentOptimizer
	Implement a gradient descent optimizer. More...
class	ShapePriorMAPCostFunction
	Represents the maximum aprior (MAP) cost function used ShapePriorSegmentationLevelSetImageFilter to estimate the shape paramaeters. More...
class	ShapePriorMAPCostFunctionBase
	Represents the base class of maximum aprior (MAP) cost function used ShapePriorSegmentationLevelSetImageFilter to estimate the shape paramaeters. More...
class	SingleValuedCostFunction
	This class is a base for the CostFunctions returning a single value. More...
class	SingleValuedNonLinearOptimizer
	This class is a base for the Optimization methods that optimize a single valued function. More...
class	SingleValuedNonLinearVnlOptimizer
	This class is a base for the Optimization methods that optimize a single valued function. More...
class	SingleValuedVnlCostFunctionAdaptor
	This class is an Adaptor that allows to pass itk::SingleValuedCostFunctions to vnl_optimizers expecting a vnl_cost_function. More...
class	SPSAOptimizer
	An optimizer based on simultaneous perturbation... More...
class	VersorRigid3DTransformOptimizer
	Implement a gradient descent optimizer for the VersorRigid3DTransform parameter space. More...
class	VersorTransformOptimizer
	Implement a gradient descent optimizer. More...

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Detailed Description

See also:

RegistrationComponents

Set of Optimization methods. Some of these methods are adaptors for classes already defined in the VNL library. These methods have been particularly tailored to be used as modular components in the registration framework.

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