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-- 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;
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