Adding index entries

diff --git a/doc/theory.rst b/doc/theory.rst
index 3833ccf190fa4ff849e8c0bb96d8f0bb67c4fd17..2ed799fca4434edac970972e72580cc4e2ba7115 100644 (file)
--- 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 1ad43e17cc2c36c3249cdd02d8d065f27885f84d..6ceff5100326dac23b4cfe4d6f5846ff917723cc 100644 (file)
--- 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::