ITK
4.1.0
Insight Segmentation and Registration Toolkit
|
00001 /*========================================================================= 00002 * 00003 * Copyright Insight Software Consortium 00004 * 00005 * Licensed under the Apache License, Version 2.0 (the "License"); 00006 * you may not use this file except in compliance with the License. 00007 * You may obtain a copy of the License at 00008 * 00009 * http://www.apache.org/licenses/LICENSE-2.0.txt 00010 * 00011 * Unless required by applicable law or agreed to in writing, software 00012 * distributed under the License is distributed on an "AS IS" BASIS, 00013 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 00014 * See the License for the specific language governing permissions and 00015 * limitations under the License. 00016 * 00017 *=========================================================================*/ 00018 #ifndef __itkGradientDescentOptimizerBasev4_h 00019 #define __itkGradientDescentOptimizerBasev4_h 00020 00021 #include "itkObjectToObjectOptimizerBase.h" 00022 #include "itkGradientDescentOptimizerBasev4ModifyGradientByScalesThreader.h" 00023 #include "itkGradientDescentOptimizerBasev4ModifyGradientByLearningRateThreader.h" 00024 00025 namespace itk 00026 { 00038 class ITK_EXPORT GradientDescentOptimizerBasev4 00039 : public ObjectToObjectOptimizerBase 00040 { 00041 public: 00043 typedef GradientDescentOptimizerBasev4 Self; 00044 typedef ObjectToObjectOptimizerBase Superclass; 00045 typedef SmartPointer< Self > Pointer; 00046 typedef SmartPointer< const Self > ConstPointer; 00047 00049 itkTypeMacro(GradientDescentOptimizerBasev4, ObjectToObjectOptimizerBase); 00050 00052 typedef enum { 00053 MAXIMUM_NUMBER_OF_ITERATIONS, 00054 COSTFUNCTION_ERROR, 00055 UPDATE_PARAMETERS_ERROR, 00056 STEP_TOO_SMALL, 00057 QUASI_NEWTON_STEP_ERROR, 00058 CONVERGENCE_CHECKER_PASSED, 00059 OTHER_ERROR 00060 } StopConditionType; 00061 00063 typedef std::string StopConditionReturnStringType; 00064 00066 typedef std::ostringstream StopConditionDescriptionType; 00067 00069 typedef Superclass::MetricType MetricType; 00070 typedef MetricType::Pointer MetricTypePointer; 00071 00073 typedef MetricType::DerivativeType DerivativeType; 00074 00076 typedef Superclass::MeasureType MeasureType; 00077 00079 typedef Superclass::InternalComputationValueType InternalComputationValueType; 00080 00082 itkGetConstReferenceMacro( Gradient, DerivativeType ); 00083 00085 itkGetConstReferenceMacro(StopCondition, StopConditionType); 00086 00088 itkSetMacro(NumberOfIterations, SizeValueType); 00089 00091 itkGetConstReferenceMacro(NumberOfIterations, SizeValueType); 00092 00094 itkGetConstMacro(CurrentIteration, SizeValueType); 00095 00099 virtual void ResumeOptimization() = 0; 00100 00103 virtual void StopOptimization(void); 00104 00106 virtual const StopConditionReturnStringType GetStopConditionDescription() const; 00107 00116 virtual void ModifyGradient(); 00117 00118 protected: 00119 00121 GradientDescentOptimizerBasev4(); 00122 virtual ~GradientDescentOptimizerBasev4(); 00124 00125 friend class GradientDescentOptimizerBasev4ModifyGradientByScalesThreader; 00126 friend class GradientDescentOptimizerBasev4ModifyGradientByLearningRateThreader; 00127 00128 typedef GradientDescentOptimizerBasev4ModifyGradientByScalesThreader::IndexRangeType IndexRangeType; 00129 00130 GradientDescentOptimizerBasev4ModifyGradientByScalesThreader::Pointer m_ModifyGradientByScalesThreader; 00131 GradientDescentOptimizerBasev4ModifyGradientByLearningRateThreader::Pointer m_ModifyGradientByLearningRateThreader; 00132 00136 virtual void EstimateLearningRate() = 0; 00137 00143 virtual void ModifyGradientByScalesOverSubRange( const IndexRangeType& subrange ) = 0; 00144 00150 virtual void ModifyGradientByLearningRateOverSubRange( const IndexRangeType& subrange ) = 0; 00151 00152 /* Common variables for optimization control and reporting */ 00153 bool m_Stop; 00154 StopConditionType m_StopCondition; 00155 StopConditionDescriptionType m_StopConditionDescription; 00156 SizeValueType m_NumberOfIterations; 00157 SizeValueType m_CurrentIteration; 00158 00160 DerivativeType m_Gradient; 00161 virtual void PrintSelf(std::ostream & os, Indent indent) const; 00162 00163 private: 00164 GradientDescentOptimizerBasev4( const Self & ); //purposely not implemented 00165 void operator=( const Self& ); //purposely not implemented 00166 00167 }; 00168 00169 } // end namespace itk 00170 00171 #endif 00172