mitkPowellOptimizer Class Reference

#include <mitkPowellOptimizer.h>

Inherits mitkOptimizer.

Inheritance diagram for mitkPowellOptimizer:

[legend]Collaboration diagram for mitkPowellOptimizer:

[legend]List of all members.

Public Member Functions
virtual void	PrintSelf (ostream &os)
	mitkPowellOptimizer ()
void	SetStepTolerance (double tolerance)
void	SetValueTolerance (double tolerance)
void	SetMaximumLineIterations (unsigned int mli)
virtual void	SetCurrentStepLength (double length)

---

Detailed Description

mitkPowellOptimizer - a concrete class for implementation of the Powell optimization algorithm.

mitkPowellOptimizer is a concrete class for implementation of the Powell optimization algorithm. For an N-dimensional parameter space, each Powell iteration minimizes(maximizes) the function in N (initially orthogonal) directions. Typically only 2-5 iterations are required.

---

Constructor & Destructor Documentation

mitkPowellOptimizer::mitkPowellOptimizer (   )

Constructor.

---

Member Function Documentation

virtual void mitkPowellOptimizer::PrintSelf (  ostream &  os  )  [virtual]

Print the necessary information about this object for the debugging purpose. Parameters: os  The specified ostream to output information. Reimplemented from mitkOptimizer.

virtual void mitkPowellOptimizer::SetCurrentStepLength (  double  length  )  [inline, virtual]

Set the stepLength for the (scaled) spacing of the sampling of parameter space. Parameters: length  The step length value.

void mitkPowellOptimizer::SetMaximumLineIterations (  unsigned int  mli  )  [inline]

Set the maximum number of line search iterations. Parameters: mli  The maximum line search iterations value.

void mitkPowellOptimizer::SetStepTolerance (  double  tolerance  )  [inline]

Set the step tolerance. Once the local extreme is known to be within this distance of the current parameter values, optimization terminates. Parameters: tolerance  The step tolerance value.

void mitkPowellOptimizer::SetValueTolerance (  double  tolerance  )  [inline]

Set the function tolerance. Once this current cost function value is known to be within this tolerance of the cost function value at the local extreme, optimization terminates. Parameters: tolerance  The function tolerance value.

---

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

• mitkPowellOptimizer.h

---