-- File:	math_MultipleVarFunctionWithHessian.cdl
-- Created:	Wed Feb 28 10:03:11 1996
-- Author:	Philippe MANGIN
--		<pmn@sgi29>
---Copyright:	 Matra Datavision 1996


deferred class MultipleVarFunctionWithHessian from math 
      inherits MultipleVarFunctionWithGradient  from math

	---Purpose: 

uses Matrix from math,
     Vector from math

is

    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;
    
    Values(me: in out; X: Vector; F: out Real; G: out Vector; H: out Matrix)
    	---Purpose: 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.

    returns Boolean
    is deferred;


end MultipleVarFunctionWithHessian;