[Numerics, Components of Registration Methods]

Collaboration diagram for Optimizers:

**See also:**- Components of Registration Methods

## 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... |

Generated at Thu Nov 6 01:07:29 2008 for ITK by 1.5.1 written by Dimitri van Heesch, © 1997-2000