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occt/src/math/math_EigenValuesSearcher.cdl
bugmaster b311480ed5 0023024: Update headers of OCCT files
Added appropriate copyright and license information in source files
2012-03-21 19:43:04 +04:00

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-- Created on: 2005-12-15
-- Created by: Julia GERASIMOVA
-- Copyright (c) 2005-2012 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 EigenValuesSearcher from math
---Purpose: This class finds eigen values and vectors of
-- real symmetric tridiagonal matrix
uses
Array1OfReal from TColStd,
HArray1OfReal from TColStd,
HArray2OfReal from TColStd,
Vector from math
raises
NotDone from StdFail
is
Create(Diagonal : Array1OfReal from TColStd;
Subdiagonal : Array1OfReal from TColStd)
returns EigenValuesSearcher
raises NotDone; -- if length(Subdiagonal) != length(Diagonal)-1
IsDone(me)
---Purpose: Returns Standard_True if computation is performed
-- successfully.
returns Boolean from Standard;
Dimension(me)
---Purpose: Returns the dimension of matrix
returns Integer from Standard;
EigenValue(me; Index : Integer from Standard)
---Purpose: Returns the Index_th eigen value of matrix
-- Index must be in [1, Dimension()]
returns Real from Standard;
EigenVector(me; Index : Integer from Standard)
---Purpose: Returns the Index_th eigen vector of matrix
-- Index must be in [1, Dimension()]
returns Vector from math;
fields
myDiagonal : HArray1OfReal from TColStd;
mySubdiagonal : HArray1OfReal from TColStd;
myIsDone : Boolean from Standard;
myN : Integer from Standard;
myEigenValues : HArray1OfReal from TColStd;
myEigenVectors : HArray2OfReal from TColStd;
end EigenValuesSearcher;