ITK
4.1.0
Insight Segmentation and Registration Toolkit
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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 __itkAmoebaOptimizer_h 00019 #define __itkAmoebaOptimizer_h 00020 00021 #include "itkSingleValuedNonLinearVnlOptimizer.h" 00022 #include "vnl/algo/vnl_amoeba.h" 00023 00024 namespace itk 00025 { 00061 class ITK_EXPORT AmoebaOptimizer: 00062 public SingleValuedNonLinearVnlOptimizer 00063 { 00064 public: 00066 typedef AmoebaOptimizer Self; 00067 typedef SingleValuedNonLinearVnlOptimizer Superclass; 00068 typedef SmartPointer< Self > Pointer; 00069 typedef SmartPointer< const Self > ConstPointer; 00070 typedef unsigned int NumberOfIterationsType; 00071 00073 itkNewMacro(Self); 00074 00076 itkTypeMacro(AmoebaOptimizer, SingleValuedNonLinearVnlOptimizer); 00077 00080 typedef Superclass::ParametersType ParametersType; 00081 00083 typedef vnl_vector< double > InternalParametersType; 00084 00086 void StartOptimization(void); 00087 00089 virtual void SetCostFunction(SingleValuedCostFunction *costFunction); 00090 00094 itkSetMacro( MaximumNumberOfIterations, NumberOfIterationsType ); 00095 itkGetConstMacro( MaximumNumberOfIterations, NumberOfIterationsType ); 00097 00106 itkSetMacro(AutomaticInitialSimplex, bool); 00107 itkBooleanMacro(AutomaticInitialSimplex); 00108 itkGetConstMacro(AutomaticInitialSimplex, bool); 00110 00117 itkSetMacro(OptimizeWithRestarts, bool); 00118 itkBooleanMacro(OptimizeWithRestarts); 00119 itkGetConstMacro(OptimizeWithRestarts, bool); 00121 00124 void SetInitialSimplexDelta(ParametersType initialSimplexDelta, 00125 bool automaticInitialSimplex = false); 00126 itkGetConstMacro(InitialSimplexDelta, ParametersType); 00128 00133 itkSetMacro(ParametersConvergenceTolerance, double); 00134 itkGetConstMacro(ParametersConvergenceTolerance, double); 00136 00141 itkSetMacro(FunctionConvergenceTolerance, double); 00142 itkGetConstMacro(FunctionConvergenceTolerance, double); 00144 00146 const std::string GetStopConditionDescription() const; 00147 00149 MeasureType GetValue() const; 00150 00152 vnl_amoeba * GetOptimizer(void) const; 00153 00154 protected: 00155 AmoebaOptimizer(); 00156 virtual ~AmoebaOptimizer(); 00157 void PrintSelf(std::ostream & os, Indent indent) const; 00158 00159 typedef Superclass::CostFunctionAdaptorType CostFunctionAdaptorType; 00160 private: 00162 void ValidateSettings(); 00163 //purposely not implemented 00164 AmoebaOptimizer(const Self &); 00165 //purposely not implemented 00166 void operator=(const Self &); 00168 00169 NumberOfIterationsType m_MaximumNumberOfIterations; 00170 ParametersType::ValueType m_ParametersConvergenceTolerance; 00171 CostFunctionType::MeasureType m_FunctionConvergenceTolerance; 00172 bool m_AutomaticInitialSimplex; 00173 ParametersType m_InitialSimplexDelta; 00174 bool m_OptimizeWithRestarts; 00175 vnl_amoeba * m_VnlOptimizer; 00176 00177 std::ostringstream m_StopConditionDescription; 00178 }; 00179 } // end namespace itk 00180 00181 #endif 00182