HCL_OpDefaultEval_d is the default "evaluation" class for nonlinear operators
HCL_OpDefaultEval_d ( const HCL_Op_d * op, const HCL_Vector_d & in ) Usual constructor; requires a pointer to an operator and a reference to the input vector | |
virtual HCL_VectorSpace_d& | Domain () const Domain returns a reference to the domain of the underlying operator |
virtual HCL_VectorSpace_d& | Range () const Range returns a reference to the range of the underlying operator. |
virtual void | Image ( HCL_Vector_d & y ) const Image computes the image of the operator. |
virtual HCL_LinearOp_d* | Deriv () const Deriv computes the derivative of the operator |
virtual HCL_BiLinearOp_d* | SecondDeriv () const SecondDeriv computes the second derivative of the operator |
virtual ostream& | Write ( ostream & str ) const Write prints a description of the object |
virtual void | DerivImage ( const HCL_Vector_d & dx, HCL_Vector_d & dy ) const DerivImage computes the image of the derivative on dx, yielding dy |
virtual void | DerivAdjImage ( const HCL_Vector_d & dy, HCL_Vector_d & dx ) const DerivAdjImage computes the image of the adjoint of the derivative on dy, yielding dx |
virtual void | DerivInvImage ( const HCL_Vector_d & dy, HCL_Vector_d & dx ) const DerivInvImage computes the image of the inverse of the derivative on dy, yielding dx |
virtual void | DerivInvAdjImage ( const HCL_Vector_d & dx, HCL_Vector_d & dy ) const DerivInvAdjImage computes the image of the inverse of the adjoint of the derivative on dx, yielding dy |
virtual void | SecondDerivImage ( const HCL_Vector_d & dx1, const HCL_Vector_d & dx2, HCL_Vector_d & dy ) const SecondDerivImage computes the image of the second derivative on (dx1,dx2), yielding dy |
virtual void | SecondDerivPartialAdjImage (const HCL_Vector_d & dx1, const HCL_Vector_d & dy, HCL_Vector_d & dx2 ) const SecondDerivPartialAdjImage computes the image of the so-called "partial adjoint" of the second derivative on (dx1,dy), yielding dx1 |
HCL_OpDefaultEval_d is the default "evaluation" class for nonlinear operators. If is a nonlinear operator represented by an instance of HCL_Op_d, then the corresponding evaluation class represents the triple In many cases, there is a significant efficiency advantage to creating a specific evaluation class for a given operator, since then intermediate calculations that are common to the image, derivative, and second derivative can be re-used. However, if there is no such efficiency advantage to be gained, then the default evaluation class HCL_OpDefaultEval_d can be used.The various mechanisms for implementing evaluation classes, including the use of this default class, are explained in detail, with concrete examples, in the report
"Implementing operators in HCL", Technical Report 99-22, Department of Computational and Applied Mathematics, Rice University, Houston, TX 77251-1892.
available on the HCL home page.
This class is concrete: all of its methods are implemented, and are not intended to be overridden.
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