From: Jean-Philippe ARGAUD <jean-philippe.argaud@edf.fr>
Date: Thu, 3 May 2012 13:24:17 +0000 (+0200)
Subject: Adding index entries
X-Git-Tag: V6_5_0~2
X-Git-Url: http://git.salome-platform.org/gitweb/?a=commitdiff_plain;h=c54b5754645ae39fae80d14a5cdb602f6c185e33;p=modules%2Fadao.git

Adding index entries
---

diff --git a/doc/theory.rst b/doc/theory.rst
index 3833ccf..2ed799f 100644
--- a/doc/theory.rst
+++ b/doc/theory.rst
@@ -9,7 +9,6 @@ A brief introduction to Data Assimilation
 .. index:: single: observation
 .. index:: single: a priori
 
-
 **Data Assimilation** is a general framework for computing the optimal estimate
 of the true state of a system, over time if necessary. It uses values obtained
 both from observations and *a priori* models, including information about their
diff --git a/doc/using.rst b/doc/using.rst
index 1ad43e1..6ceff51 100644
--- a/doc/using.rst
+++ b/doc/using.rst
@@ -129,6 +129,8 @@ extension replacing the "*.comm*" one [#]_.
 Modify and supplement the YACS scheme and save it
 +++++++++++++++++++++++++++++++++++++++++++++++++
 
+.. index:: single: Analysis
+
 When the YACS scheme is generated and opened in SALOME through the YACS module
 GUI, you can modify or supplement the scheme like any YACS scheme. It is
 recommended to save the modified scheme with a new name, in order to preserve in
@@ -163,6 +165,16 @@ simple example is given in the section :ref:`section_examples`.
 Execute the YACS case and obtain the results
 ++++++++++++++++++++++++++++++++++++++++++++
 
+.. index:: single: Analysis
+.. index:: single: Innovation
+.. index:: single: APosterioriCovariance
+.. index:: single: OMB
+.. index:: single: BMA
+.. index:: single: OMA
+.. index:: single: CostFunctionJ
+.. index:: single: CostFunctionJo
+.. index:: single: CostFunctionJb
+
 The YACS scheme is now complete and can be executed. Parametrisation and
 execution of a YACS case is fully compliant with the standard way to deal with a
 YACS scheme, and is described in the *YACS module User's Guide*.
@@ -220,6 +232,13 @@ explained in the section :ref:`section_theory`.
 List of possible input types
 ++++++++++++++++++++++++++++
 
+.. index:: single: Dict
+.. index:: single: Function
+.. index:: single: Matrix
+.. index:: single: String
+.. index:: single: Script
+.. index:: single: Vector
+
 The different type-style commands are:
 
 :Dict:
@@ -248,6 +267,23 @@ The different type-style commands are:
 List of commands
 ++++++++++++++++
 
+.. index:: single: ASSIMILATION_STUDY
+.. index:: single: Algorithm
+.. index:: single: AlgorithmParameters
+.. index:: single: Background
+.. index:: single: BackgroundError
+.. index:: single: Debug
+.. index:: single: InputVariables
+.. index:: single: Observation
+.. index:: single: ObservationError
+.. index:: single: ObservationOperator
+.. index:: single: Observers
+.. index:: single: OutputVariables
+.. index:: single: Study_name
+.. index:: single: Study_repertory
+.. index:: single: UserDataInit
+.. index:: single: UserPostAnalysis
+
 The different commands are the following:
 
 :ASSIMILATION_STUDY:
@@ -339,6 +375,24 @@ The different commands are the following:
 List of possible options for the algorithms
 +++++++++++++++++++++++++++++++++++++++++++
 
+.. index:: single: Blue
+.. index:: single: LinearLeastSquares
+.. index:: single: 3DVAR
+.. index:: single: NonLinearLeastSquares
+.. index:: single: EnsembleBlue
+.. index:: single: QuantileRegression
+
+.. index:: single: AlgorithmParameters
+.. index:: single: Minimizer
+.. index:: single: Bounds
+.. index:: single: MaximumNumberOfSteps
+.. index:: single: CalculateAPosterioriCovariance
+.. index:: single: CostDecrementTolerance
+.. index:: single: ProjectedGradientTolerance
+.. index:: single: GradientNormTolerance
+.. index:: single: SetSeed
+.. index:: single: Quantile
+
 Each algorithm can be controled using some generic or specific options given
 throught the "*AlgorithmParameters*" optional command, as follows::