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  • Scilab (history) – Opus Project
    View Tickets Search Context Navigation Back to Scilab Change History for Scilab Version Date Author Comment 1 6 years pmpair Powered by Trac 0 11 4 By Edgewall Software Visit

    Original URL path: http://www.opus-project.fr/trac/wiki/Scilab?action=history (2016-01-11)
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  • Scilab (diff) – Opus Project
    09 30 09 14 47 30 6 years ago Author pmpair Comment Legend Unmodified Added Removed Modified Scilab v1 v1 1 Image http www scilab org images homepage scilab logo png 2 3 Scilab 4 5 The following is the quotation from www scilab org official SCILAB Web resource 6 7 Scilab is a scientific software package for numerical computations providing a powerful open computing environment for engineering and scientific applications 8 9 Scilab is an open source software Since 1994 it has been distributed freely along 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 10 11 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 linear systems an interpreter and a high level programming language Scilab has been conceived to be an open system where the user can define new data types and operations on these data types 12 13 Nowadays SCILAB is used by 250

    Original URL path: http://www.opus-project.fr/trac/wiki/Scilab?action=diff&version=1 (2016-01-11)
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  • Salome
    project is set in a context of priorities simultaneously calling for the integration of software components and architecture along with the development of new concepts for new objects It defines and creates a software architecture based on reusable components to build a generic CAD CAE link based on open software for digital simulation It ensures the continuity of a number of internal developments and the mutuality of non critical creations for the developers of numerical solving software both pre and post CAE It reduces training time to the specific training time for the encapsulated application It is the only realisation of its kind in the field of open software today The SALOME 2 project aims to improve the distribution of digital simulation software developed in France which are considered references in their application domains It provides them with a generic user friendly and efficient user interface which facilitates cost reduction and reduces the delays in performing studies It is a means of facilitating the linkage of code the reuse of portions of code the inter operability between simulation code and the CAD modelling software Nowadays SALOME is a free software that provides a generic platform for Pre and Post Processing

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/63-salome?tmpl=component&print=1&layout=default&page= (2016-01-11)
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  • ANR project Opus
    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 computer

    Original URL path: http://www.opus-project.fr/index.php/anropusproject?el_mcal_month=1&el_mcal_year=2016 (2016-01-11)
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  • ANR project Opus
    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 computer

    Original URL path: http://www.opus-project.fr/index.php/anropusproject?el_mcal_month=3&el_mcal_year=2016 (2016-01-11)
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  • templates softiablue02 images Header jpg function getimagesize failed to open stream HTTP request failed HTTP 1 1 404 Not Found in var www joomla libraries tcpdf tcpdf php on line 3672 TCPDF error Missing or incorrect image file http www

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/61-softia?format=pdf (2016-01-11)
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  • Softia Ingénierie
    mainly involved in two kinds of business SYSTEM focuses on the installation configuration and administration of on site or remote computation infrastructure This branch also develops Web solutions ENGINEERING focuses on the development of new services based on the Statistical

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/61-softia?tmpl=component&print=1&layout=default&page= (2016-01-11)
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  • UP7 (Université Paris VII), laboratoire Probabilités et Modèles Aléatoires (LPMA)
    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

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/60-up7?tmpl=component&print=1&layout=default&page= (2016-01-11)
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