#-*-coding:iso-8859-1-*-
#
-# Copyright (C) 2008-2012 EDF R&D
+# Copyright (C) 2008-2012 EDF R&D
#
-# This library is free software; you can redistribute it and/or
-# modify it under the terms of the GNU Lesser General Public
-# License as published by the Free Software Foundation; either
-# version 2.1 of the License.
+# This library is free software; you can redistribute it and/or
+# modify it under the terms of the GNU Lesser General Public
+# License as published by the Free Software Foundation; either
+# version 2.1 of the License.
#
-# This library is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
-# Lesser General Public License for more details.
+# This library is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+# Lesser General Public License for more details.
#
-# You should have received a copy of the GNU Lesser General Public
-# License along with this library; if not, write to the Free Software
-# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+# You should have received a copy of the GNU Lesser General Public
+# License along with this library; if not, write to the Free Software
+# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
#
-# See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
+# See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
#
-# Author: Jean-Philippe Argaud, jean-philippe.argaud@edf.fr, EDF R&D
+# Author: Jean-Philippe Argaud, jean-philippe.argaud@edf.fr, EDF R&D
__doc__ = """
Définit les outils généraux élémentaires.
- CurrentState : état courant lors d'itérations
- Analysis : l'analyse
- Innovation : l'innovation : d = Y - H Xb
- - SigmaObs2 : correction optimale des erreurs d'observation
- - SigmaBck2 : correction optimale des erreurs d'ébauche
+ - SigmaObs2 : indicateur de correction optimale des erreurs d'observation
+ - SigmaBck2 : indicateur de correction optimale des erreurs d'ébauche
+ - MahalanobisConsistency : indicateur de consistance des covariances
- OMA : Observation moins Analysis : Y - Xa
- OMB : Observation moins Background : Y - Xb
- AMB : Analysis moins Background : Xa - Xb
self.StoredVariables["Innovation"] = Persistence.OneVector(name = "Innovation")
self.StoredVariables["SigmaObs2"] = Persistence.OneScalar(name = "SigmaObs2")
self.StoredVariables["SigmaBck2"] = Persistence.OneScalar(name = "SigmaBck2")
+ self.StoredVariables["MahalanobisConsistency"] = Persistence.OneScalar(name = "MahalanobisConsistency")
self.StoredVariables["OMA"] = Persistence.OneVector(name = "OMA")
self.StoredVariables["OMB"] = Persistence.OneVector(name = "OMB")
self.StoredVariables["BMA"] = Persistence.OneVector(name = "BMA")