class HCL_EvalLSFcnlGN_d : public HCL_EvaluateFunctional_d

HCL_EvalLSFcnlGN_d is the evaluation object for the functional class HCL_LeastSquareFcnlGN_d, which implements a least-squares functional based on a nonlinear operator

Inheritance:

Public Methods

	HCL_EvalLSFcnlGN_d (const HCL_Vector_d & Input, HCL_LinearOp_d * Operator, HCL_Vector_d * Data, double PenaltyParameter, HCL_LinearOp_d * RegularizingOperator, HCL_Vector_d * ModelPrior) Usual constructor for linear operator input
	HCL_EvalLSFcnlGN_d (const HCL_Vector_d & Input, HCL_Op_d * Operator, HCL_Vector_d * Data, double PenaltyParameter, HCL_LinearOp_d * RegularizingOperator, HCL_Vector_d * ModelPrior) Usual constructor for nonlinear operator input
virtual HCL_VectorSpace_d&	Domain () const Domain space access
virtual double	Value () const Value returns the values of the functional at the given point.
virtual void	Gradient ( HCL_Vector_d & g ) const Gradient assigns to g the gradient of the functional.
virtual HCL_LinearOp_d*	Hessian () const Hessian creates the Hessian operator.
virtual ostream&	Write ( ostream & str ) const Write prints a description of the object.

Inherited from HCL_EvaluateFunctional_d:

Public Methods

virtual double ValueRef() const

virtual const HCL_Vector_d& GradientRef() const

virtual const HCL_LinearOp_d& HessianRef() const

Protected Methods

virtual void HessianImage( const HCL_Vector_d & dx, HCL_Vector_d & dy ) const

virtual void HessianInvImage( const HCL_Vector_d & dy, HCL_Vector_d & dx ) const

Inherited from HCL_Base:

Public Methods

void IncCount() const

void DecCount() const

int Count() const

HCL_EvalLSFcnlGN_d(const HCL_Vector_d & Input, HCL_LinearOp_d * Operator, HCL_Vector_d * Data, double PenaltyParameter, HCL_LinearOp_d * RegularizingOperator, HCL_Vector_d * ModelPrior)

Usual constructor for linear operator input. The constructor requires (a reference to) the input vector, pointers to the operator and data, and, optionally, a regularization weight, operator, and target model. Note that an independent copy of the input vector is made. See the documentation for HCL_LeastSquaresFcnlGN_d for more information about regularization.

HCL_EvalLSFcnlGN_d(const HCL_Vector_d & Input, HCL_Op_d * Operator, HCL_Vector_d * Data, double PenaltyParameter, HCL_LinearOp_d * RegularizingOperator, HCL_Vector_d * ModelPrior)

Usual constructor for nonlinear operator input. The constructor requires (a reference to) the input vector, pointers to the operator and data, and, optionally, a regularization weight, operator, and target model. Note that an independent copy of the input vector is made. See the documentation for HCL_LeastSquaresFcnlGN_d for more information about regularization.

virtual HCL_VectorSpace_d& Domain() const

Domain space access. Returns a reference to the vector space which forms the domain of the functional.

virtual double Value() const

Value returns the values of the functional at the given point.

virtual void Gradient( HCL_Vector_d & g ) const

Gradient assigns to g the gradient of the functional.

virtual HCL_LinearOp_d* Hessian() const

Hessian creates the Hessian operator.

virtual ostream& Write( ostream & str ) const

Write prints a description of the object.

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