Changes between Version 10 and Version 11 of WikiStart


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Timestamp:
06/06/07 11:23:58 (11 years ago)
Author:
noret
Comment:

Correction of mistakes and modifications of "Key characteristics"

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  • WikiStart

    v10 v11  
    1010 * a scientific C++ library including an internal data model and algorithms dedicated to the treatment of uncertainties. The main function of that library is to give to specific applications all the functionalities needed to treat uncertainties in studies. Targeted users are all engineers who want to introduce the probabilistic dimension in their so far deterministic studies. 
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    12  * an independent application with a graphical user interface. This application was built to become the work environment for the specialist of the treatment of uncertainties. Targeted users are once again industrial practitioners: those that identify the treatment of uncertainties as a full task, generic to more than one engineering domain. 
     12 * an independent application with a graphical user interface. This application was built 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. 
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    14  * 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++ library), and a user friendly interpreted language like Matlab’s one. The expected use of that python module is to make easier the development of prototypes designed to test new algorithms and methods, to become an easy -to-use support for educational works, … Its vocation is 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. 
     14 * 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. The expected use of that python module is to make easier the development of prototypes designed to test new algorithms and methods, to become an easy-to-use support for educational works, … Its vocation is 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. 
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    1616== Getting Started ==