/usr/include/ITK-4.5/itkConjugateGradientLineSearchOptimizerv4.hxx is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 | /*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef __itkConjugateGradientLineSearchOptimizerv4_hxx
#define __itkConjugateGradientLineSearchOptimizerv4_hxx
#include "itkConjugateGradientLineSearchOptimizerv4.h"
namespace itk
{
/**
* Default constructor
*/
template<typename TInternalComputationValueType>
ConjugateGradientLineSearchOptimizerv4Template<TInternalComputationValueType>
::ConjugateGradientLineSearchOptimizerv4Template()
{
}
/**
* Destructor
*/
template<typename TInternalComputationValueType>
ConjugateGradientLineSearchOptimizerv4Template<TInternalComputationValueType>
::~ConjugateGradientLineSearchOptimizerv4Template()
{}
/**
*PrintSelf
*/
template<typename TInternalComputationValueType>
void
ConjugateGradientLineSearchOptimizerv4Template<TInternalComputationValueType>
::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
}
template<typename TInternalComputationValueType>
void
ConjugateGradientLineSearchOptimizerv4Template<TInternalComputationValueType>
::StartOptimization( bool doOnlyInitialization)
{
this->m_ConjugateGradient.SetSize( this->m_Metric->GetNumberOfParameters() );
this->m_ConjugateGradient.Fill( itk::NumericTraits< TInternalComputationValueType >::Zero );
this->m_LastGradient.SetSize( this->m_Metric->GetNumberOfParameters() );
this->m_LastGradient.Fill( itk::NumericTraits< TInternalComputationValueType >::Zero );
Superclass::StartOptimization( doOnlyInitialization );
}
/**
* Advance one Step following the gradient direction
*/
template<typename TInternalComputationValueType>
void
ConjugateGradientLineSearchOptimizerv4Template<TInternalComputationValueType>
::AdvanceOneStep()
{
itkDebugMacro("AdvanceOneStep");
this->ModifyGradientByScales();
if ( this->m_CurrentIteration == 0 )
{
this->EstimateLearningRate();
}
TInternalComputationValueType gamma = itk::NumericTraits< TInternalComputationValueType >::Zero;
TInternalComputationValueType gammaDenom = inner_product( this->m_LastGradient , this->m_LastGradient );
if ( gammaDenom > itk::NumericTraits< TInternalComputationValueType >::epsilon() )
{
gamma = inner_product( this->m_Gradient - this->m_LastGradient , this->m_Gradient ) / gammaDenom;
}
/** Modified Polak-Ribiere restart conditions */
if ( gamma < 0 || gamma > 5 )
{
gamma = 0;
}
this->m_LastGradient = this->m_Gradient;
this->m_ConjugateGradient = this->m_Gradient + this->m_ConjugateGradient * gamma;
this->m_Gradient = this->m_ConjugateGradient;
/* Estimate a learning rate for this step */
this->m_LineSearchIterations = 0;
this->m_LearningRate = this->GoldenSectionSearch( this->m_LearningRate * this->m_LowerLimit ,
this->m_LearningRate , this->m_LearningRate * this->m_UpperLimit );
/* Begin threaded gradient modification of m_Gradient variable. */
this->ModifyGradientByLearningRate();
try
{
/* Pass graident to transform and let it do its own updating. */
this->m_Metric->UpdateTransformParameters( this->m_Gradient );
}
catch ( ExceptionObject & err )
{
this->m_StopCondition = Superclass::UPDATE_PARAMETERS_ERROR;
this->m_StopConditionDescription << "UpdateTransformParameters error";
this->StopOptimization();
// Pass exception to caller
throw err;
}
this->InvokeEvent( IterationEvent() );
}
}//namespace itk
#endif
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