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  • News
    the25th of November within Opus project a workshop titled Spectral methods and polynomial chaos will take place at EADS in Suresnes Both theoretical aspects and software implementation will be discussed on the morning and afternoon respectively From 9h30 on Olivier Lemaitre LIMSI and Fabio Nobile Politecnico di Milano will give two theoretical talks On the afternoon Géraud Blatman and Thierry Crestaux two PhD students will present their thesis work related

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/news/81-news?tmpl=component&print=1&layout=default&page= (2016-01-11)
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  • OPUS
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    Original URL path: http://www.opus-project.fr/index.php/component/mailto/?tmpl=component&link=aHR0cDovL3d3dy5vcHVzLXByb2plY3QuZnIvaW5kZXgucGhwL2Fucm9wdXNwcm9qZWN0L25ld3MvODEtbmV3cw%3D%3D (2016-01-11)
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  • news
    are on line Using R features from Opus document pdf Using Nisp from Opus document pdf 2010 01 14 Annual review The ANR annual review will be held on 2010 04 09 See the private website for details 2009 12 22 Plenary meeting A plenary meeting will be held on Jan 11 2010 See the private website for details 2009 11 22 3rd workshop On the25th of November within Opus project a workshop titled Spectral methods and polynomial chaos will take place at EADS in Suresnes Both theoretical aspects and software implementation will be discussed on the morning and afternoon respectively From 9h30 on Olivier Lemaitre LIMSI and Fabio Nobile Politecnico di Milano will give two theoretical talks On the afternoon Géraud Blatman and Thierry Crestaux two PhD students will present their thesis work related to the subject Concerning the software implementation problems Michael Baudin Scilab and Jean Marc Martinez CEA will present their Scilab toolbox NISP Marc Berveiller EDF and Régis Lebrun EADS will then present their developments on functional chaos in OpenTURNS An access plan to EADS Suresnes is available For security reasons related to the host of the workshop it is mandatory to preregister with Jayant Sen

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/news?el_mcal_month=12&el_mcal_year=2015 (2016-01-11)
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  • news
    publications are on line Using R features from Opus document pdf Using Nisp from Opus document pdf 2010 01 14 Annual review The ANR annual review will be held on 2010 04 09 See the private website for details 2009 12 22 Plenary meeting A plenary meeting will be held on Jan 11 2010 See the private website for details 2009 11 22 3rd workshop On the25th of November within Opus project a workshop titled Spectral methods and polynomial chaos will take place at EADS in Suresnes Both theoretical aspects and software implementation will be discussed on the morning and afternoon respectively From 9h30 on Olivier Lemaitre LIMSI and Fabio Nobile Politecnico di Milano will give two theoretical talks On the afternoon Géraud Blatman and Thierry Crestaux two PhD students will present their thesis work related to the subject Concerning the software implementation problems Michael Baudin Scilab and Jean Marc Martinez CEA will present their Scilab toolbox NISP Marc Berveiller EDF and Régis Lebrun EADS will then present their developments on functional chaos in OpenTURNS An access plan to EADS Suresnes is available For security reasons related to the host of the workshop it is mandatory to preregister with Jayant

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/news?el_mcal_month=2&el_mcal_year=2016 (2016-01-11)
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  • ANR project Opus
    to become the work environment for the specialist of the treatment of uncertainties Targeted users are once again industrial practitioners those who identify the treatment of uncertainties as a full task which can be spread to multiple engineering domains a python module with high level operators in the probabilistic and statistical field The interest of this language is to be both a powerful scientific language capable of using C libraries and a user friendly interpreted language like Matlab s one This python module was designed to make the development of prototypes easier in order to test new algorithms and methods for example to become an easy to use support for educational works This module intends to become a natural environment capable of integrating new developments within the field of uncertainty and sensitivity analysis The targeted users are here research centres and the academic community Website Last Updated Monday 11 January 2010 22 39 R Monday 04 January 2010 02 48 Author Administrator R R is a language and environment for statistical computing and graphics It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories formerly AT T now Lucent Technologies by John Chambers and colleagues R can be considered as a different implementation of S There are some important differences but much code written for S runs unaltered under R R provides a wide variety of statistical linear and nonlinear modelling classical statistical tests time series analysis classification clustering and graphical techniques and is highly extensible The S language is often the vehicle of choice for research in statistical methodology and R provides an Open Source route to participation in that activity One of R s strengths is the ease with which well designed publication quality plots can be produced including mathematical symbols and formulae where needed Great care has been taken over the defaults for the minor design choices in graphics but the user retains full control R is available as Free Software under the terms of the Free Software Foundation s GNU General Public License in source code form It compiles and runs on a wide variety of UNIX platforms and similar systems including FreeBSD and Linux Windows and MacOS The R environment R is an integrated suite of software facilities for data manipulation calculation and graphical display It includes an effective data handling and storage facility a suite of operators for calculations on arrays in particular matrices a large coherent integrated collection of intermediate tools for data analysis graphical facilities for data analysis and display either on screen or on hardcopy and a well developed simple and effective programming language which includes conditionals loops user defined recursive functions and input and output facilities The term environment is intended to characterize it as a fully planned and coherent system rather than an incremental accretion of very specific and inflexible tools as is frequently the case with other data analysis software R like S is designed around a true

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

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/projectgoals?tmpl=component&print=1&page= (2016-01-11)
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  • OPUS
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    Original URL path: http://www.opus-project.fr/index.php/component/mailto/?tmpl=component&link=aHR0cDovL3d3dy5vcHVzLXByb2plY3QuZnIvaW5kZXgucGhwL2Fucm9wdXNwcm9qZWN0L3Byb2plY3Rnb2Fscw%3D%3D (2016-01-11)
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  • Project goals
    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 Open

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/projectgoals?el_mcal_month=12&el_mcal_year=2015 (2016-01-11)
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