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itkStandardStochasticVarianceReducedGradientDescentOptimizer.h
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1 /*=========================================================================
2  *
3  * Copyright UMC Utrecht and contributors
4  *
5  * Licensed under the Apache License, Version 2.0 (the "License");
6  * you may not use this file except in compliance with the License.
7  * You may obtain a copy of the License at
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10  *
11  * Unless required by applicable law or agreed to in writing, software
12  * distributed under the License is distributed on an "AS IS" BASIS,
13  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14  * See the License for the specific language governing permissions and
15  * limitations under the License.
16  *
17  *=========================================================================*/
18 #ifndef __itkStandardStochasticVarianceReducedGradientOptimizer_h
19 #define __itkStandardStochasticVarianceReducedGradientOptimizer_h
20 
22 
23 namespace itk
24 {
58 {
59 public:
60 
64 
65  typedef SmartPointer<Self> Pointer;
66  typedef SmartPointer<const Self> ConstPointer;
67 
69  itkNewMacro( Self );
70 
73 
83 
85  itkSetMacro( Param_a, double );
86  itkGetConstMacro( Param_a, double );
87 
89  itkSetMacro( Param_beta, double );
90  itkGetConstMacro( Param_beta, double );
91 
93  itkSetMacro( Param_A, double );
94  itkGetConstMacro( Param_A, double );
95 
97  itkSetMacro( Param_alpha, double );
98  itkGetConstMacro( Param_alpha, double );
99 
102  void AdvanceOneStep( void ) override;
103 
105  void StartOptimization( void ) override;
106 
112  itkSetMacro( InitialTime, double );
113  itkGetConstMacro( InitialTime, double );
114 
117  itkGetConstMacro( CurrentTime, double );
118 
122  virtual void ResetCurrentTimeToInitialTime( void )
123  {
124  this->m_CurrentTime = this->m_InitialTime;
125  }
126 
127 protected:
128 
131 
133  virtual double Compute_a( double k ) const;
134 
136  virtual double Compute_beta( double k ) const;
137 
143  virtual void UpdateCurrentTime( void );
144 
147 
150 
151 private:
152 
153  StandardStochasticVarianceReducedGradientOptimizer( const Self& ); // purposely not implemented
154  void operator=( const Self& ); // purposely not implemented
155 
157  double m_Param_a;
158  double m_Param_beta;
159  double m_Param_A;
161 
164 
165 }; // end class StandardStochasticVarianceReducedGradientOptimizer
166 
167 
168 } // end namespace itk
169 
170 
171 #endif // end #ifndef __itkStandardStochasticVarianceReducedGradientOptimizer_h
This class implements a gradient descent optimizer with a decaying gain.


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