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itkRSGDEachParameterApartOptimizer.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
8  *
9  * http://www.apache.org/licenses/LICENSE-2.0.txt
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 
19 #ifndef __itkRSGDEachParameterApartOptimizer_h
20 #define __itkRSGDEachParameterApartOptimizer_h
21 
23 
24 namespace itk
25 {
26 
55 {
56 public:
57 
62  typedef SmartPointer< const Self > ConstPointer;
63 
65  itkNewMacro( Self );
66 
68  itkTypeMacro( RSGDEachParameterApartOptimizer,
70 
72  typedef Superclass::CostFunctionType CostFunctionType;
73  typedef CostFunctionType::Pointer CostFunctionPointer;
74 
75 protected:
76 
79 
85  virtual void StepAlongGradient(
86  const DerivativeType & factor,
87  const DerivativeType & transformedGradient );
88 
89 private:
90 
91  RSGDEachParameterApartOptimizer( const Self & ); // purposely not implemented
92  void operator=( const Self & ); // purposely not implemented
93 
94 };
95 
96 } // end namespace itk
97 
98 #endif // end #ifndef __itkRSGDEachParameterApartOptimizer_h
virtual void StepAlongGradient(const DerivativeType &factor, const DerivativeType &transformedGradient)
An optimizer based on gradient descent.
RSGDEachParameterApartBaseOptimizer Superclass


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