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aimsalgo
5.1.2
Neuroimaging image processing
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#include <aims/optimization/lmgamma.h>


Public Member Functions | |
| LMGamma (T k=(T) 1.0, T ta=(T) 4.0, T a=(T) 3.0, T b=(T) 1.5) | |
| T | apply (T) |
| T | eval (T) |
Public Member Functions inherited from LMFunction< T > | |
| LMFunction () | |
| LMFunction (const LMFunction< T > &) | |
| virtual | ~LMFunction () |
| std::vector< T > & | param () |
| std::vector< T > & | derivative () |
Additional Inherited Members | |
Protected Attributes inherited from LMFunction< T > | |
| std::vector< T > | par |
| std::vector< T > | der |
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inline |
Definition at line 57 of file lmgamma.h.
References LMFunction< T >::der, and LMFunction< T >::par.
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inlinevirtual |
Reimplemented from LMFunction< T >.
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inlinevirtual |
Reimplemented from LMFunction< T >.