Optimizers
[Numerics, Components of Registration Methods]
Collaboration diagram for Optimizers:
|
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::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::LBFGSBOptimizer |
| Limited memory Broyden Fletcher Goldfarb Shannon minimization with simple bounds. 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::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::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel > |
| Represents the maximum aprior (MAP) cost function used ShapePriorSegmentationLevelSetImageFilter to estimate the shape paramaeters. More... | |
| class | itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel > |
| Represents the base class of maximum aprior (MAP) cost function used ShapePriorSegmentationLevelSetImageFilter to estimate the shape paramaeters. 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
- See also:
- Components of Registration Methods
