mitkLBFGSBOptimizer Class Reference

mitkLBFGSBOptimizer - More...

#include <mitkLBFGSBOptimizer.h>

Inherits mitkOptimizer.

Inheritance diagram for mitkLBFGSBOptimizer:

[legend]Collaboration diagram for mitkLBFGSBOptimizer:

[legend]List of all members.

Public Member Functions
virtual void	PrintSelf (ostream &os)
void	SetLowerBound (const VectorParameterType &bound)
void	SetUpperBound (const VectorParameterType &bound)
void	SetBoundSelection (const VectorModeType &selection)
void	SetCostFunctionConvergenceFactor (double factor)
void	SetProjectedGradientTolerance (double tol)
void	SetMaximumEvaluations (unsigned int eval)
void	SetMaximumCorrections (unsigned int corr)

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Detailed Description

mitkLBFGSBOptimizer -

mitkLBFGSBOptimizer

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Member Function Documentation

virtual void mitkLBFGSBOptimizer::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.

void mitkLBFGSBOptimizer::SetBoundSelection (  const VectorModeType &  selection  )  [inline]

Set the boundary condition for each variable, where select[i] = 0 if x[i] is unbounded, = 1 if x[i] has only a lower bound, = 2 if x[i] has both lower and upper bounds, and = 3 if x[1] has only an upper bound

void mitkLBFGSBOptimizer::SetCostFunctionConvergenceFactor (  double  factor  )  [inline]

Set/Get the CostFunctionConvergenceFactor. Algorithm terminates when the reduction in cost function is less than factor * epsmcj where epsmch is the machine precision. Typical values for factor: 1e+12 for low accuracy; 1e+7 for moderate accuracy and 1e+1 for extremely high accuracy.

void mitkLBFGSBOptimizer::SetLowerBound (  const VectorParameterType &  bound  )  [inline]

Set the lower bound value for each variable.

void mitkLBFGSBOptimizer::SetMaximumCorrections (  unsigned int  corr  )  [inline]

Set/Get the MaximumNumberOfCorrections. Default is 5

void mitkLBFGSBOptimizer::SetMaximumEvaluations (  unsigned int  eval  )  [inline]

Set/Get the MaximumNumberOfEvaluations. Default is 500

void mitkLBFGSBOptimizer::SetProjectedGradientTolerance (  double  tol  )  [inline]

Set/Get the ProjectedGradientTolerance. Algorithm terminates when the project gradient is below the tolerance. Default value is 1e-5.

void mitkLBFGSBOptimizer::SetUpperBound (  const VectorParameterType &  bound  )  [inline]

Set the upper bound value for each variable.

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

• mitkLBFGSBOptimizer.h

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