-- Created on: 1991-07-25
-- Created by: Laurent PAINNOT
-- Copyright (c) 1991-1999 Matra Datavision
--- Copyright (c) 1999-2012 OPEN CASCADE SAS
+-- Copyright (c) 1999-2014 OPEN CASCADE SAS
--
--- The content of this file is subject to the Open CASCADE Technology Public
--- License Version 6.5 (the "License"). You may not use the content of this file
--- except in compliance with the License. Please obtain a copy of the License
--- at http://www.opencascade.org and read it completely before using this file.
+-- This file is part of Open CASCADE Technology software library.
--
--- The Initial Developer of the Original Code is Open CASCADE S.A.S., having its
--- main offices at: 1, place des Freres Montgolfier, 78280 Guyancourt, France.
+-- This library is free software; you can redistribute it and/or modify it under
+-- the terms of the GNU Lesser General Public License version 2.1 as published
+-- by the Free Software Foundation, with special exception defined in the file
+-- OCCT_LGPL_EXCEPTION.txt. Consult the file LICENSE_LGPL_21.txt included in OCCT
+-- distribution for complete text of the license and disclaimer of any warranty.
--
--- The Original Code and all software distributed under the License is
--- distributed on an "AS IS" basis, without warranty of any kind, and the
--- Initial Developer hereby disclaims all such warranties, including without
--- limitation, any warranties of merchantability, fitness for a particular
--- purpose or non-infringement. Please see the License for the specific terms
--- and conditions governing the rights and limitations under the License.
-
-
-
+-- Alternatively, this file may be used under the terms of Open CASCADE
+-- commercial license or contractual agreement.
generic class LeastSquare from AppParCurves
(MultiLine as any;
ToolLine as any) -- as ToolLine(MultiLine)
- ---Purpose: This class describes the least square fitting of a
+ ---Purpose: This class describes the least square fitting of a
-- MultiLine using the Householder method from the
-- mathematical package.
+ -- Computes in parallel the least square resolution of a
+ -- set of points (MultiLine). The result is a
+ -- set of Bezier curves (MultiCurve).
-- The problem to solve is the following one:
-- minimizing the sum(|C(ui)- Qi|)2 where Qi are the points of
- -- the MultiLine and C(ui) the points of the approximating
+ -- the MultiLine and C(ui) the points of the approximating
-- curves.
theError: Matrix from math;
myindex: IntegerVector from math;
-ERR3d: Real;
-ERR2d: Real;
lambda1: Real;
lambda2: Real;