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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkSingleValuedNonLinearVnlOptimizer.cxx,v $
Language: C++
Date: $Date: 2007-03-22 21:39:38 $
Version: $Revision: 1.16 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef _itkSingleValuedNonLinearVnlOptimizer_txx
#define _itkSingleValuedNonLinearVnlOptimizer_txx
#include "itkSingleValuedNonLinearVnlOptimizer.h"
namespace itk
{
/** Constructor */
SingleValuedNonLinearVnlOptimizer
::SingleValuedNonLinearVnlOptimizer()
{
m_CostFunctionAdaptor = 0;
m_Maximize = false;
m_Command = CommandType::New();
m_Command->SetCallbackFunction( this,
&SingleValuedNonLinearVnlOptimizer::IterationReport );
m_CachedValue = 0;
m_CachedCurrentPosition.Fill(0);
m_CachedDerivative.Fill(0);
}
/** Destructor */
SingleValuedNonLinearVnlOptimizer
::~SingleValuedNonLinearVnlOptimizer()
{
if( m_CostFunctionAdaptor )
{
delete m_CostFunctionAdaptor;
m_CostFunctionAdaptor = 0;
}
}
void
SingleValuedNonLinearVnlOptimizer
::SetCostFunctionAdaptor( CostFunctionAdaptorType * adaptor )
{
if( m_CostFunctionAdaptor == adaptor )
{
return;
}
if( m_CostFunctionAdaptor )
{
delete m_CostFunctionAdaptor;
}
m_CostFunctionAdaptor = adaptor;
m_CostFunctionAdaptor->AddObserver( IterationEvent(), m_Command );
}
const SingleValuedNonLinearVnlOptimizer::CostFunctionAdaptorType *
SingleValuedNonLinearVnlOptimizer
::GetCostFunctionAdaptor( void ) const
{
return m_CostFunctionAdaptor;
}
SingleValuedNonLinearVnlOptimizer::CostFunctionAdaptorType *
SingleValuedNonLinearVnlOptimizer
::GetCostFunctionAdaptor( void )
{
return m_CostFunctionAdaptor;
}
/** The purpose of this method is to get around the lack of
* const-correctness in VNL cost-functions and optimizers */
SingleValuedNonLinearVnlOptimizer::CostFunctionAdaptorType *
SingleValuedNonLinearVnlOptimizer
::GetNonConstCostFunctionAdaptor( void ) const
{
return m_CostFunctionAdaptor;
}
/** The purpose of this method is to get around the lack of iteration reporting
* in VNL optimizers. By interfacing directly with the ITK cost function
* adaptor we are generating here Iteration Events. Note the iteration events
* here are produce PER EVALUATION of the metric, not per real iteration of the
* vnl optimizer. Optimizers that evaluate the metric multiple times at each
* iteration will generate a lot more of Iteration events here. */
void
SingleValuedNonLinearVnlOptimizer
::IterationReport( const EventObject & event )
{
const CostFunctionAdaptorType * adaptor = this->GetCostFunctionAdaptor();
m_CachedValue = adaptor->GetCachedValue();
m_CachedDerivative = adaptor->GetCachedDerivative();
m_CachedCurrentPosition = adaptor->GetCachedCurrentParameters();
this->InvokeEvent( event );
}
/**
* PrintSelf
*/
void
SingleValuedNonLinearVnlOptimizer
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf( os, indent );
os << indent << "Maximize flag: "
<< (m_Maximize ? "On" : "Off") << std::endl;
os << indent << "Cached Value: " << m_CachedValue << std::endl;
os << indent << "Cached Derivative: " << m_CachedDerivative << std::endl;
os << indent << "Cached current positiion: "
<< m_CachedCurrentPosition << std::endl;
os << "Command observer " << m_Command.GetPointer() << std::endl;
os << "Cost Function adaptor" << m_CostFunctionAdaptor << std::endl;
}
} // end namespace itk
#endif
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