2 Copyright (C) 2008-2021 EDF R&D
4 This file is part of SALOME ADAO module.
6 This library is free software; you can redistribute it and/or
7 modify it under the terms of the GNU Lesser General Public
8 License as published by the Free Software Foundation; either
9 version 2.1 of the License, or (at your option) any later version.
11 This library is distributed in the hope that it will be useful,
12 but WITHOUT ANY WARRANTY; without even the implied warranty of
13 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
14 Lesser General Public License for more details.
16 You should have received a copy of the GNU Lesser General Public
17 License along with this library; if not, write to the Free Software
18 Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
20 See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
22 Author: Jean-Philippe Argaud, jean-philippe.argaud@edf.fr, EDF R&D
26 ================================================================================
28 ================================================================================
30 .. image:: images/ADAO_logo.png
34 **The ADAO module provides data assimilation and optimization** features in
35 Python [Python]_ or SALOME context [Salome]_.
37 Briefly stated, Data Assimilation is a methodological framework to compute the
38 optimal estimate of the inaccessible true value of a system state, eventually
39 over time. It uses information coming from experimental measurements or
40 observations, and from numerical *a priori* models, including information about
41 their errors. Parts of the framework are also known under the names of
42 *parameter estimation*, *inverse problems*, *Bayesian estimation*, *optimal
43 interpolation*, *field reconstruction*, etc. The ADAO module currently offers
44 more than 100 different algorithmic methods and allows the study of about 350
45 distinct applied problems. More details can be found in the section
46 :ref:`section_theory`.
48 The documentation for this module is divided into several major categories,
49 related to the theoretical documentation (indicated in the section title by
50 **[DocT]**), to the user documentation (indicated in the section title by
51 **[DocU]**), and to the reference documentation (indicated in the section title
54 The first part is the :ref:`section_intro`. The second part introduces
55 :ref:`section_theory`, and their concepts, and the next part describes the
56 :ref:`section_methodology`. For a standard user, the next parts describe
57 examples on ADAO usage as :ref:`section_tutorials_in_salome` or
58 :ref:`section_tutorials_in_python`, then indicates the :ref:`section_advanced`,
59 with how to obtain additional information or how to use non-GUI command
60 execution scripting. Users interested in quick use of the module can stop
61 before reading the rest, but a valuable use of the module requires to read and
62 come back regularly to these parts. The following parts describe
63 :ref:`section_gui_in_salome` and :ref:`section_tui`. The last main part gives a
64 detailed :ref:`section_reference`, with three essential main sub-parts
65 describing the details of commands and options of the algorithms. A
66 :ref:`section_glossary`, some :ref:`section_notations`, a
67 :ref:`section_bibliography` and an extensive index are included in
68 the document. And, to comply with the module requirements, be sure to read the
69 part :ref:`section_license`.
72 :caption: Table of contents