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  • Timeline – Opus Project
    14 39 Partenaires edited by pmpair diff 14 38 Softia edited by pmpair diff 14 36 UP7 edited by pmpair diff 14 35 UJF edited by pmpair diff 14 34 SUPELEC edited by pmpair diff 14 34 SUPELEC edited by pmpair diff 14 33 INRIA edited by pmpair diff 14 32 ECP edited by pmpair diff 14 31 EDF edited by pmpair diff 11 31 EADS edited by pmpair diff 11 30 Dassault edited by pmpair diff 11 30 Dassault edited by pmpair diff 11 28 Softia created by pmpair 11 28 UP7 created by pmpair 11 28 UJF created by pmpair 11 28 SUPELEC created by pmpair 11 28 INRIA created by pmpair 11 28 ECP created by pmpair 11 27 EDF created by pmpair 11 27 EADS created by pmpair 11 27 Dassault created by pmpair 11 27 CEA edited by pmpair diff 11 26 CEA edited by pmpair diff 11 26 CEA edited by pmpair diff 11 26 CEA edited by pmpair diff 11 25 CEA edited by pmpair diff 11 23 CEA edited by pmpair diff 11 22 CEA edited by pmpair diff 11 22 CEA created by pmpair 11 21 Partenaires edited by pmpair diff 11 20 Partenaires created by pmpair 11 15 2009 09 28 created by pmpair 11 08 CDC OPUS v7 pdf attached to StockageFichiers by pmpair 10 59 WikiStart edited by pmpair diff 10 02 WikiStart edited by pmpair diff 09 28 09 15 49 StockageFichiers created by pmpair 15 49 WikiStart edited by pmpair diff 15 46 WikiStart edited by pmpair diff 15 46 WikiStart edited by pmpair diff 15 35 WikiStart edited by pmpair diff 11 29 TracUnicode created by trac 11 29 InterMapTxt created by trac 11 29 CamelCase created by trac 11 29 TracStandalone created by trac

    Original URL path: http://www.opus-project.fr/trac/timeline?from=2009-09-30T15%3A02%3A09%2B0200&precision=second (2016-01-11)
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  • Scilab – Opus Project
    with the source code via the Internet It is currently used in educational and industrial environments around the world Scilab is now the responsibility of the Scilab Consortium launched in May 2003 There are currently 25 members in Scilab Consortium Scilab includes hundreds of mathematical functions with the possibility to add interactively programs from various languages FORTRAN C C JAVA It has sophisticated data structures including lists polynomials rational functions

    Original URL path: http://www.opus-project.fr/trac/wiki/Scilab?version=1 (2016-01-11)
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  • ANR project Opus
    computation infrastructure This branch also develops Web solutions ENGINEERING focuses on the development of new services based on the Statistical and Data Mining methodologies SOFTIA s skillset covers numerous software technologies and is particularly focused on Open Source Softia website Last Updated Monday 11 January 2010 22 38 UP7 Université Paris VII laboratoire Probabilités et Modèles Aléatoires LPMA Monday 21 December 2009 21 34 Author Administrator LPMA is is a joint laboratory of the Universités Paris VI and Paris VII It comprises about 70 faculties and 50 PhD students The laboratory s activities take place in the applied mathematics field and focuses on modelisation description and analysis of random phenomena Uncertainty quantification in numerical codes has become one of the main research axes from the joint action of strong demand from academic and industrial partners as well as recent developments using advanced techniques from both numerical simulation and probabilistic tools point of view variance reduction methods for Monte Carlo genetic algorithms interacting particle systems LPMA hosts the activities of two Master s 2 Degrees which represent more than 200 students each year a great pool which allows about 50 PhD students at any time The scientific person in charge of OPUS project also participates in those two Master s degrees He was the main organizer of CEMRACS 2006 This mathematical summer center for advanced research in scientific computing was dedicated to modeling randomness and uncertainty propagation smai emath fr cemracs cemracs06 Partners within OPUS such as CEA EADS and EDF have strongly involved themselves in CEMRACS by offering several research projects which were short six weeks but intense They were completed throughout the summer and led to the writing of internal reports and publications in the following months The fruitful collaborations started during CEMRACS should be supported by a new stimulus which the OPUS project could be head of UP7 website Last Updated Tuesday 26 January 2010 21 11 UJF Université Joseph Fourier Laboratoire Jean Kuntzmann LJK Monday 21 December 2009 21 33 Author Administrator The Jean Kuntzmann laboratory is an Applied Mathematics and Computer Science laboratory created in January 2007 in Grenoble France A joint research unit of the UJF the INPG the UPMF the CNRS and INRIA it combines the forces of applied mathematicians and statisticians from the former laboratories LMC and LabSAD with graphics and computer vision experts from the former laboratory GRAVIR Its expertise centres on the computational and statistical sciences and their uses in analysing natural phenomena with applications ranging from environmental modelling through life sciences nanosciences visualisation and signal processing to mathematical finance The laboratory is structured into three scientific departments Geometry Images focuses on geometric modelling and image processing including graphics and computer vision Deterministic Models Algorithms develops tools for numerical and symbolic computation Statistics gathers theoretical and applied statisticians and specialists in data analysis and signal processing Joseph Fourier University is be represented by two of its professors Anestis Antoniadis et Christophe Prud homme who contribute in three areas to the OPUS

    Original URL path: http://www.opus-project.fr/index.php/anropusproject?start=5&el_mcal_month=4&el_mcal_year=2016 (2016-01-11)
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  • ANR project Opus
    Information systems engineering Within axis 1 we especially study numerical techniques applied to PDEs for multiphasic problems or materials as well as optimization methods The lab is 60 people strong and is associated to two teaching structures from Ecole Centrale Paris Applied Mathematics and IT Telecom options mostly within research initiation projects It is also a partner for several Masters Degrees INSTN Paris V Université Dauphine Sorbonne Université Evry and has two strategic partnerships with CEA and INRIA On the uncertainties in multidisciplinary conception theme the lab is involved in projects OMD Optimisation Multi Disciplinaire from ANR as well as IOLS and EHPOC from the SYSTEM TIC PARIS REGION competitivity pole ECP website EDF Electricité de France Recherche et Développement R D Monday 21 December 2009 03 25 Author Administrator The EDF Group is a leading player in the European energy industry active in all areas of the electricity value chain from generation to trading and increasingly active in the gas chain in Europe Leader in the French electricity market the Group also has solid positions in the United Kingdom Germany and Italy The mission of EDF R D is to contribute to improving performance among EDF Group operating units and to identify and prepare new growth drivers for the medium and long terms EDF R D has a committed policy of working with partners in France and Europe especially the countries where the Group is active as well as in other parts of the world Uncertainty assessment and propagation in physical environmental or risk modeling is the subject of a long standing work at EDF R D Thanks to a multitude of application fields for these techniques and methods EDF has acquired a consolidated know how in generic approaches to these problems and has contributed to the definition to a generic Guide to quantitative uncertainty management shared with many industrial and academic partners EDF R D is involved in many partnership and projects about uncertainty and develops together with EADS and Phimeca the Open TURNS software EDF website EDF R D website Open TURNS Last Updated Tuesday 23 February 2010 21 43 EADS European Aeronautic Defence and Space company Innovation Works Monday 21 December 2009 02 47 Author Administrator EADS Innovation Works develops tools and skills for usage by the various entities of the EADS group Airbus Ariane Eurocopter MBDA Astrium The Simulation Systems and IT for Applied Mathematics department develops methods and computing tools from applied mathematics techniques and scientific computation Numerical Analysis Applied Probabilities Parallel computing Grid Computing In the last few years uncertainty management is at the heart of EADS IW computing strategy Indeed for needs of advanced conception as well as numerical certification intensive use of numerical computation tools requires the identification and development of trust indicators Indeed mastery of stochastic computing techniques and data management is mandatory EADS IW is involved in projects IOLS and EHPOC from SYSTEM TIC PARIS REGION pole as well as developing tools and methods around uncertainty management OpenTURNS platform

    Original URL path: http://www.opus-project.fr/index.php/anropusproject?start=10&el_mcal_month=4&el_mcal_year=2016 (2016-01-11)
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  • Project references
    appear only later on Hence nowadays several major partnerships at the international level ESREDA MUCM SAMSI or the French level IMdR have launched ambitious works to capitalise on uncertainty treatments into generic guides that would meet virtually any industrial need It aims at designing a common template to be followed as well as specific guidelines to methodology that might best fit the particular case typically according to the data and experts information availability model complexity and so on The genuine study cases considered in these projects all from different business areas illustrate a startling feature although the applications and physics involved are completely different the implicit mathematical structure seems very similar Moreover the methodology collections to shop in for each step are common and the choice is rather dependent on the criteria the underlying institutional regulation or study purpose than on the application Indeed the conceptual framework that fits conceptually at least virtually any industrial uncertainty study can be resumed by the following figure This scheme ought to be considered as a skeleton for a purely uncertainty part of an industrial study So far all the three essential steps as well as satellites B and C may be shown application free it is rather mutually dependent At a conceptual level it may be one size fits all solution meanwhile it is not assumed to be so when applied Instead the reference guide provides the methodologies to shop from and the guidelines to chose from that handleads and educates an industrial engineer over the uncertainties aspects avoiding him becoming a specialist in this complex field It may therefore be implemented as Software that would perform all the modelling propagation and criteria check and would only ask some relevant questions playing the role of Babel Fish a translator from the industrial world to the mathematical When dependency structure between the steps of this application free framework is closely investigated it appears that one step directs others in many aspects the purpose of the study often a criterion to comply with or a business decision making together with some features of the available model and the study context variables involved deterministic or random or a bit of both Therefore the very sensible approach to start with is to get it from the right end see the box above This conceptual conclusion comes as an essential point for the consolidation process of building the generic uncertainty management framework In brief the consolidation of uncertainty treatment practices aims at a kind of two side split for a generic industrial study The first one would gather all the bits specific to the particular application whereas the second one would collect the uncertainty related bits Ideally the uncertainty slice may prove to be a common to any application or can be managed to become so and might be embedded into a comprehensive Software package This would offer to an application specialist in charge of a whole study the uncertainty management toolkit applicable to his field know how

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/34-projectreferences (2016-01-11)
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  • Project partners
    partners Sunday 22 November 2009 20 12 Author Administrator The project partners are the following entities Industrial CEA Commissariat à l Energie Atomique Dassault Aviation EADS European Aeronautic Defence and Space Company EDF Electricité de France University ECP Ecole Centrale Paris INRIA Institut national de recherche en informatique et en automatique SUPELEC École supérieure d électricité UJF Université Joseph Fourier UP7 Université Paris 7 Small business Softia Prev Next Last

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/33-projectpartners (2016-01-11)
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  • Project presentation
    performance assessment All this makes generic uncertainty treatment as opposed to domain specific efforts a cornerstone for rapid industrial progress Hence nowadays several major partnerships ESREDA MUCM SAMSI IMdR have launched ambitious works to capitalise on uncertainty treatments into generic guides that would meet virtually any industrial need It aims at designing a common template to be followed as well as specific guidelines to methodology that might best fit the particular case typically according to the data and experts information availability model complexity and so on In order to reach a broad stakeholder community ranging from physicists to company managers with uncertainty awareness and management capacity an essential step the OPUS project target is to create a genuinely generic and comprehensive software platform OPUS capitalises on the most advanced conceptual and guidelines work into an Open Source however industrialised and fully serviced software product OPUS has gathered the specialists from all relevant fields Ecole Centrale de Paris ECP SUPELEC industry oriented uncertainty research INRIA Host of Scilab Consortium Among other INRIA projects and major advances Scilab is a renowned French Open Source Software in scientific computing Joseph Fourier University and Paris VII University applied mathematicians with connections to R and Scilab Octave recognised Open Source Software CEA EADS EDF and Dassault Aviation leading players in building an industrial consensus over the Generic Uncertainty Treatment Guidelines for industrial use ESREDA EHPOC SOFTIA French start up company with strong records of providing the large companies with services around Open Source solutions Therefore OPUS project leverages much greater know how and resources than reflected by the project balance sheet The synergy of partner experiences provides OPUS with critical weight to launch a Generic Open Source Uncertainty Treatment Platform and create a sustainable dynamic to ensure its durability OPUS promotes the transparency in the

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/32-projectpresentation (2016-01-11)
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  • Project goals
    for Uncertainty treatment in Simulation project is to create and sustain an activity around Generic Uncertainty Treatments by building and maintaining a reference tool for uncertainty treatment as well as providing a community friendly environment and extensive user contribution opportunities OPUS gathers 10 industrial and research partners and receives governmental funding via Agence Nationale pour la Recherche Project goals Creating and disseminating a reference opensource tool for uncertainty treatment using cutting edge algorithms contributed from the scientific community Capitalisation of French know how within the uncertainty world around this reference tool Creating a lasting dynamic with different academic industrial and buisiness partners From needs to tools the Opus loop User contributions Opus aims at gathering a community as well as encouraging user contributions Such contributions are various in nature from algorithms ideas submitted in the forum to software packages in several available languages or industrial usecases This allows for Uncertainty aware modelling with cutting edge tools Sustainable Dynamic in the Uncertainty Treatment Field Maintain the cutting edge French know how in industry oriented uncertainty research That promotes the Open Source Software for High Performance Modelling and Complex System conception That establishes France as a major hub in the international Industrial

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/31-projectgoals (2016-01-11)
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