LM2Gaussian< T > Class Template Reference

#include <aims/optimization/lm2gauss.h>

Inheritance diagram for LM2Gaussian< T >:

Collaboration diagram for LM2Gaussian< T >:

Public Member Functions
	LM2Gaussian (T k1=(T) 1.0, T m1=(T) 0.0, T s1=(T) 1.0, T k2=(T) 1.0, T m2=(T) 0.0, T s2=(T) 1.0)
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

Detailed Description

template<class T>
class LM2Gaussian< T >

Definition at line 42 of file lm2gauss.h.

Constructor & Destructor Documentation

LM2Gaussian()

template<class T >

LM2Gaussian< T >::LM2Gaussian ( T  k1 = (T)1.0, T  m1 = (T)0.0, T  s1 = (T)1.0, T  k2 = (T)1.0, T  m2 = (T)0.0, T  s2 = (T)1.0  )

inline

Definition at line 55 of file lm2gauss.h.

References LMFunction< T >::der, and LMFunction< T >::par.

Member Function Documentation

apply()

template<class T >

T LM2Gaussian< T >::apply ( T  x )

inlinevirtual

Reimplemented from LMFunction< T >.

Definition at line 93 of file lm2gauss.h.

eval()

template<class T >

T LM2Gaussian< T >::eval ( T  x )

inlinevirtual

Reimplemented from LMFunction< T >.

Definition at line 71 of file lm2gauss.h.

---

The documentation for this class was generated from the following file:

• aims/optimization/lm2gauss.h