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58 lines
1.6 KiB
Plaintext
Executable File
58 lines
1.6 KiB
Plaintext
Executable File
-- File: MultipleVarFunctionWithGradient.cdl
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-- Created: Mon May 13 15:11:12 1991
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-- Author: Laurent PAINNOT
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-- <lpa@topsn3>
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---Copyright: Matra Datavision 1991, 1992
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deferred class MultipleVarFunctionWithGradient from math
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inherits MultipleVarFunction
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---Purpose:
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-- The abstract class MultipleVarFunctionWithGradient
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-- describes the virtual functions associated with a multiple variable function.
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uses Vector from math
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is
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Delete(me:out) is virtual;
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---C++: alias "Standard_EXPORT virtual ~math_MultipleVarFunctionWithGradient(){Delete();}"
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NbVariables(me)
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---Purpose: Returns the number of variables of the function.
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returns Integer
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is deferred;
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Value(me: in out; X: Vector; F: out Real)
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---Purpose: Computes the values of the Functions <F> for the variable <X>.
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-- Returns True if the computation was done successfully,
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-- False otherwise.
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returns Boolean
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is deferred;
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Gradient(me: in out; X: Vector; G: out Vector)
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---Purpose: Computes the gradient <G> of the functions for the variable <X>.
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-- Returns True if the computation was done successfully,
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-- False otherwise.
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returns Boolean
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is deferred;
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Values(me: in out; X: Vector; F: out Real; G: out Vector)
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---Purpose: computes the value <F> and the gradient <G> of the
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-- functions for the variable <X>.
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-- Returns True if the computation was done successfully,
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-- False otherwise.
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returns Boolean
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is deferred;
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end MultipleVarFunctionWithGradient;
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