-- File:        MultipleVarFunctionWithGradient.cdl
-- Created:     Mon May 13 15:11:12 1991
-- Author:      Laurent PAINNOT
--              <lpa@topsn3>
---Copyright:    Matra Datavision 1991, 1992




deferred class MultipleVarFunctionWithGradient from math

inherits MultipleVarFunction
---Purpose:
-- The abstract class MultipleVarFunctionWithGradient
-- describes the virtual functions associated with a multiple variable function.
uses Vector from math

is

    Delete(me:out) is virtual;
    ---C++: alias "Standard_EXPORT virtual ~math_MultipleVarFunctionWithGradient(){Delete();}"
    
    NbVariables(me)
    	---Purpose: Returns the number of variables of the function.

    returns Integer
    is deferred;


    Value(me: in out; X: Vector; F: out Real)
    	---Purpose: Computes the values of the Functions <F> for the   variable <X>.
    	--          Returns True if the computation was done successfully, 
    	--          False otherwise.

    returns Boolean
    is deferred;
    
    
    Gradient(me: in out; X: Vector; G: out Vector)
    	---Purpose: Computes the gradient <G> of the functions for the   variable <X>.
    	--         Returns True if the computation was done successfully, 
    	--         False otherwise.

    returns Boolean
    is deferred;
    
    
    Values(me: in out; X: Vector; F: out Real; G: out Vector)
    	---Purpose: 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.

    returns Boolean
    is deferred;
    
end MultipleVarFunctionWithGradient;