Implement a gradient descent optimizer. More...

#include <itkQuaternionRigidTransformGradientDescentOptimizer.h>

Inheritance diagram for itk::QuaternionRigidTransformGradientDescentOptimizer:

Collaboration diagram for itk::QuaternionRigidTransformGradientDescentOptimizer:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::ParametersType	ParametersType
typedef SmartPointer< Self >	Pointer
typedef QuaternionRigidTransformGradientDescentOptimizer	Self
typedef GradientDescentOptimizer	Superclass
Public Member Functions
virtual void	AdvanceOneStep (void)
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const char *	GetNameOfClass () const
Static Public Member Functions
static Pointer	New ()
Protected Member Functions
	QuaternionRigidTransformGradientDescentOptimizer ()
virtual	~QuaternionRigidTransformGradientDescentOptimizer ()
Private Member Functions
void	operator= (const Self &)
	QuaternionRigidTransformGradientDescentOptimizer (const Self &)

Detailed Description

Implement a gradient descent optimizer.

QuaternionRigidTransformGradientDescentOptimizer is an extension to the simple gradient descent optimizer implmented in GradientDescentOptimizer. At each iteration the current position is updated according to

p(n+1) = p(n) + learningRate * d f(p(n)) / d p(n)

$p_{n+1} = p_n + \mbox{learningRate} \, \frac{\partial f(p_n) }{\partial p_n}$

The learning rate is a fixed scalar defined via SetLearningRate(). The optimizer steps through a user defined number of iterations; no convergence checking is done. The first four components of p are assumed to be the four components of the quaternion. After each update, the quaternion is normalized to have a magnitude of one. This ensures the the transform is purely rigid.

See also:: GradientDescentOptimizer

Definition at line 51 of file itkQuaternionRigidTransformGradientDescentOptimizer.h.

Member Typedef Documentation

typedef SmartPointer< const Self > itk::QuaternionRigidTransformGradientDescentOptimizer::ConstPointer

Reimplemented from itk::GradientDescentOptimizer.

Definition at line 59 of file itkQuaternionRigidTransformGradientDescentOptimizer.h.

typedef Superclass::ParametersType itk::QuaternionRigidTransformGradientDescentOptimizer::ParametersType

Parameters type. It defines a position in the optimization search space.

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Definition at line 66 of file itkQuaternionRigidTransformGradientDescentOptimizer.h.

typedef SmartPointer< Self > itk::QuaternionRigidTransformGradientDescentOptimizer::Pointer

Reimplemented from itk::GradientDescentOptimizer.

Definition at line 58 of file itkQuaternionRigidTransformGradientDescentOptimizer.h.

typedef QuaternionRigidTransformGradientDescentOptimizer itk::QuaternionRigidTransformGradientDescentOptimizer::Self

Standard class typedefs.

Reimplemented from itk::GradientDescentOptimizer.

Definition at line 56 of file itkQuaternionRigidTransformGradientDescentOptimizer.h.

typedef GradientDescentOptimizer itk::QuaternionRigidTransformGradientDescentOptimizer::Superclass

Reimplemented from itk::GradientDescentOptimizer.

Definition at line 57 of file itkQuaternionRigidTransformGradientDescentOptimizer.h.

Constructor & Destructor Documentation

itk::QuaternionRigidTransformGradientDescentOptimizer::QuaternionRigidTransformGradientDescentOptimizer ( ) [inline, protected]

Definition at line 76 of file itkQuaternionRigidTransformGradientDescentOptimizer.h.

virtual itk::QuaternionRigidTransformGradientDescentOptimizer::~QuaternionRigidTransformGradientDescentOptimizer ( ) [inline, protected, virtual]

Definition at line 77 of file itkQuaternionRigidTransformGradientDescentOptimizer.h.

itk::QuaternionRigidTransformGradientDescentOptimizer::QuaternionRigidTransformGradientDescentOptimizer ( const Self & ) [private]

Member Function Documentation

virtual void itk::QuaternionRigidTransformGradientDescentOptimizer::AdvanceOneStep ( void ) [virtual]

Advance one step following the gradient direction.

Reimplemented from itk::GradientDescentOptimizer.

virtual::itk::LightObject::Pointer itk::QuaternionRigidTransformGradientDescentOptimizer::CreateAnother ( void ) const [virtual]

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::GradientDescentOptimizer.

virtual const char* itk::QuaternionRigidTransformGradientDescentOptimizer::GetNameOfClass ( ) const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::GradientDescentOptimizer.

static Pointer itk::QuaternionRigidTransformGradientDescentOptimizer::New ( ) [static]

Method for creation through the object factory.

Reimplemented from itk::GradientDescentOptimizer.

void itk::QuaternionRigidTransformGradientDescentOptimizer::operator= ( const Self & ) [private]

Types inherited from the superclass

Reimplemented from itk::GradientDescentOptimizer.

The documentation for this class was generated from the following file: