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73 lines
2.5 KiB
Plaintext
Executable File
73 lines
2.5 KiB
Plaintext
Executable File
-- Created on: 1991-05-13
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-- Created by: Laurent PAINNOT
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-- Copyright (c) 1991-1999 Matra Datavision
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-- Copyright (c) 1999-2012 OPEN CASCADE SAS
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--
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-- The content of this file is subject to the Open CASCADE Technology Public
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-- License Version 6.5 (the "License"). You may not use the content of this file
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-- except in compliance with the License. Please obtain a copy of the License
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-- at http://www.opencascade.org and read it completely before using this file.
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--
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-- The Initial Developer of the Original Code is Open CASCADE S.A.S., having its
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-- main offices at: 1, place des Freres Montgolfier, 78280 Guyancourt, France.
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--
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-- The Original Code and all software distributed under the License is
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-- distributed on an "AS IS" basis, without warranty of any kind, and the
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-- Initial Developer hereby disclaims all such warranties, including without
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-- limitation, any warranties of merchantability, fitness for a particular
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-- purpose or non-infringement. Please see the License for the specific terms
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-- and conditions governing the rights and limitations under the License.
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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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