ScicosLab
In this article, we will explore in depth ScicosLab and its impact on contemporary society. From its origin to its current evolution, ScicosLab has been the subject of interest and debate in various areas, both in popular culture and in academia. We will delve into its meaning, influence and relevance in today's world, analyzing how ScicosLab has shaped our perceptions, attitudes and behaviors. Through this analysis, we will seek to understand the implications of ScicosLab in our society and reflect on its role in human development.
 Screenshot of ScicosLab 4.4 beta 7 running under Windows 7 | |
| Developer(s) | Metalau Project-team and ENPC |
|---|---|
| Stable release | 4.4.2
/ October 3, 2015 |
| Operating system | Linux, Windows, Mac OS X |
| Type | Technical computing |
| License | Scilab License |
| Website | www.scicoslab.org |
ScicosLab is a software package providing a multi-platform environment for scientific computation. It is based on the official Scilab 4.x (BUILD4) distribution, and includes the modeling and simulation tool Scicos and a number of other toolboxes.
The latest stable version of ScicosLab is ScicosLab 4.4.2.[1]
It is possible that Scilab/Scicos is currently the most complete alternative to commercial packages for dynamic systems modeling and simulation packages such as MATLAB/Simulink and MATRIXx/SystemBuild."[2]
Features
ScicosLab runs, and is available in binary format, for the main available platforms like Unix/Linux workstations, Microsoft Windows, and MacOSX. Scicoslab was based on Scilab and Scicos, but it was forked from them. Currently it is separated from the new versions evolution in order to maintain compatibility among them.
See also
External links
- ScicosLab Homepage
- Scilab License
- Scicos Homepage
- Maxplus Homepage
- Scicos-FLEX Homepage - Scicos-FLEX is a toolbox for code generation for embedded microcontrollers
- E4Coder: The toolset based on ScicosLab for simulation and code generation for embedded devices
References
- ^ "ScicosLab Download". ScicosLab. Retrieved 2016-05-27.
- ^ Campbell, Stephen L.; Chancelier, Jean-Philippe; Nikoukhah, Ramine (2010). Modeling and Simulation in Scilab/Scicos with ScicosLab 4.4 (Second ed.). Springer Science+Business Media. p. V. doi:10.1007/978-1-4419-5527-2. ISBN 978-1-4419-5527-2.
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