-- Created on: 1991-05-14 -- Created by: Laurent PAINNOT -- Copyright (c) 1991-1999 Matra Datavision -- Copyright (c) 1999-2012 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. -- -- 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. -- -- 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. class Powell from math ---Purpose: -- This class implements the Powell method to find the minimum of -- function of multiple variables (the gradient does not have to be known). uses Vector from math, Matrix from math, MultipleVarFunction from math, Status from math, OStream from Standard raises NotDone from StdFail, DimensionError from Standard is Create(F: in out MultipleVarFunction; StartingPoint: Vector; StartingDirections: Matrix; Tolerance: Real; NbIterations: Integer=200; ZEPS: Real=1.0e-12) ---Purpose: -- Computes Powell minimization on the function F given -- StartingPoint, and an initial matrix StartingDirection -- whose columns contain the initial set of directions. The -- solution F = Fi is found when 2.0 * abs(Fi - Fi-1) = --