ITK  4.2.0
Insight Segmentation and Registration Toolkit
Classes
Module ITKOptimizers
Group Numerics
+ Collaboration diagram for Module ITKOptimizers:

Classes

class  itk::AmoebaOptimizer
 Wrap of the vnl_amoeba algorithm. More...
class  itk::ConjugateGradientOptimizer
 Wrap of the vnl_conjugate_gradient. More...
class  itk::CostFunction
 Base class for cost functions intended to be used with Optimizers. More...
class  itk::CumulativeGaussianCostFunction
 Cost function for the Cumulative Gaussian Optimizer. More...
class  itk::CumulativeGaussianOptimizer
 This is an optimizer specific to estimating the parameters of Cumulative Gaussian sampled data. More...
class  itk::ExhaustiveOptimizer
 Optimizer that fully samples a grid on the parametric space. More...
class  itk::FRPROptimizer
 Implements Fletch-Reeves & Polak-Ribiere optimization using dBrent line search. More...
class  itk::GradientDescentOptimizer
 Implement a gradient descent optimizer. More...
class  itk::InitializationBiasedParticleSwarmOptimizer
 Implementation of a biased/regularized Particle Swarm Optimization (PSO) algorithm. More...
class  itk::LBFGSBOptimizer
 Limited memory Broyden Fletcher Goldfarb Shannon minimization with simple bounds. More...
class  LBFGSBOptimizerHelper
 Wrapper helper around vnl_lbfgsb. More...
class  itk::LBFGSOptimizer
 Wrap of the vnl_lbfgs algorithm. More...
class  itk::LevenbergMarquardtOptimizer
 Wrap of the vnl_levenberg_marquardt algorithm. More...
class  itk::MultipleValuedCostFunction
 This class is a base for the CostFunctions returning a multiple values. More...
class  itk::MultipleValuedNonLinearOptimizer
 This class is a base for the Optimization methods that optimize a multiple valued function. More...
class  itk::MultipleValuedNonLinearVnlOptimizer
 This class is a base for the Optimization methods that optimize a multi-valued function. More...
class  itk::MultipleValuedVnlCostFunctionAdaptor
 This class is an Adaptor that allows to pass itk::MultipleValuedCostFunctions to vnl_optimizers expecting a vnl_cost_function. More...
class  itk::NonLinearOptimizer
 Wrap of the vnl_nonlinear_minimizer to be adapted. More...
class  itk::OnePlusOneEvolutionaryOptimizer
 1+1 evolutionary strategy optimizer More...
class  itk::Optimizer
 Generic representation for an optimization method. More...
class  itk::ParticleSwarmOptimizer
 Implementation of a Particle Swarm Optimization (PSO) algorithm. More...
class  itk::ParticleSwarmOptimizerBase
 Abstract implementation of a Particle Swarm Optimization (PSO) algorithm. More...
class  itk::PowellOptimizer
 Implements Powell optimization using Brent line search. More...
class  itk::QuaternionRigidTransformGradientDescentOptimizer
 Implement a gradient descent optimizer. More...
class  itk::RegularStepGradientDescentBaseOptimizer
 Implement a gradient descent optimizer. More...
class  itk::RegularStepGradientDescentOptimizer
 Implement a gradient descent optimizer. More...
class  itk::SingleValuedCostFunction
 This class is a base for the CostFunctions returning a single value. More...
class  itk::SingleValuedNonLinearOptimizer
 This class is a base for the Optimization methods that optimize a single valued function. More...
class  itk::SingleValuedNonLinearVnlOptimizer
 This class is a base for the Optimization methods that optimize a single valued function. More...
class  itk::SingleValuedVnlCostFunctionAdaptor
 This class is an Adaptor that allows to pass itk::SingleValuedCostFunctions to vnl_optimizers expecting a vnl_cost_function. More...
class  itk::SPSAOptimizer
 An optimizer based on simultaneous perturbation... More...
class  itk::VersorRigid3DTransformOptimizer
 Implement a gradient descent optimizer for the VersorRigid3DTransform parameter space. More...
class  itk::VersorTransformOptimizer
 Implement a gradient descent optimizer. More...

Detailed Description

This module contains ITK classes than encapsulate numerical optimizers. A set of base classes categorize the type of cost function an optimizer is capable of operating on, and the concrete classes provide implementations of specific algorithms.

Dependencies: