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-- 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;
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