Open CASCADE Technology
6.9.1

#include <math_MultipleVarFunctionWithHessian.hxx>
Public Member Functions  
virtual Standard_Integer  NbVariables () const =0 
returns the number of variables of the function. More...  
virtual Standard_Boolean  Value (const math_Vector &X, Standard_Real &F)=0 
computes the values of the Functions <F> for the variable <X>. Returns True if the computation was done successfully, False otherwise. More...  
virtual Standard_Boolean  Gradient (const math_Vector &X, math_Vector &G)=0 
computes the gradient <G> of the functions for the variable <X>. Returns True if the computation was done successfully, False otherwise. More...  
virtual Standard_Boolean  Values (const math_Vector &X, Standard_Real &F, math_Vector &G)=0 
computes the value <F> and the gradient <G> of the functions for the variable <X>. Returns True if the computation was done successfully, False otherwise. More...  
virtual Standard_Boolean  Values (const math_Vector &X, Standard_Real &F, math_Vector &G, math_Matrix &H)=0 
computes the value <F>, the gradient <G> and the hessian <H> of the functions for the variable <X>. Returns True if the computation was done successfully, False otherwise. More...  
Public Member Functions inherited from math_MultipleVarFunction  
virtual Standard_Integer  GetStateNumber () 
return the state of the function corresponding to the latestt call of any methods associated to the function. This function is called by each of the algorithms described later which define the function Integer Algorithm::StateNumber(). The algorithm has the responsibility to call this function when it has found a solution (i.e. a root or a minimum) and has to maintain the association between the solution found and this StateNumber. Byu default, this method returns 0 (which means for the algorithm: no state has been saved). It is the responsibility of the programmer to decide if he needs to save the current state of the function and to return an Integer that allows retrieval of the state. More...  
virtual  ~math_MultipleVarFunction () 

pure virtual 
computes the gradient <G> of the functions for the variable <X>. Returns True if the computation was done successfully, False otherwise.
Implements math_MultipleVarFunctionWithGradient.
Implemented in Extrema_GlobOptFuncCCC2, FairCurve_Energy, and Extrema_GlobOptFuncCS.

pure virtual 
returns the number of variables of the function.
Implements math_MultipleVarFunctionWithGradient.
Implemented in Extrema_GlobOptFuncCCC2, Extrema_GlobOptFuncCS, and FairCurve_Energy.

pure virtual 
computes the values of the Functions <F> for the variable <X>. Returns True if the computation was done successfully, False otherwise.
Implements math_MultipleVarFunctionWithGradient.
Implemented in Extrema_GlobOptFuncCCC2, FairCurve_Energy, and Extrema_GlobOptFuncCS.

pure virtual 
computes the value <F> and the gradient <G> of the functions for the variable <X>. Returns True if the computation was done successfully, False otherwise.
Implements math_MultipleVarFunctionWithGradient.
Implemented in Extrema_GlobOptFuncCCC2, FairCurve_Energy, and Extrema_GlobOptFuncCS.

pure virtual 
computes the value <F>, the gradient <G> and the hessian <H> of the functions for the variable <X>. Returns True if the computation was done successfully, False otherwise.
Implemented in Extrema_GlobOptFuncCCC2, FairCurve_Energy, and Extrema_GlobOptFuncCS.