 | This article needs additional citations for verification. (April 2009) |
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 Screenshot of Scilab 6.1 | |
| Developer(s) | Dassault Systèmes |
|---|---|
| Stable release | 2024.1.0[1] 
/ 23 May 2024 |
| Repository | |
| Written in | Scilab, C, C++, Java, Fortran |
| Operating system | BSDs (e.g., FreeBSD), Linux, macOS, Windows |
| Available in | English, German, Spanish, French, Italian, Japanese, Portuguese (Brazil), Russian, Ukrainian, Chinese, Czech, Polish |
| Type | Technical computing |
| License | GPLv2, previously CeCILL |
| Website | www |
Scilab is a free and open-source, cross-platform numerical computational package and a high-level, numerically oriented programming language. It can be used for signal processing, statistical analysis, image enhancement, fluid dynamics simulations, numerical optimization, and modeling, simulation of explicit and implicit dynamical systems and (if the corresponding toolbox is installed) symbolic manipulations.[2][3][4]
Scilab is one of the two major open-source alternatives to MATLAB, the other one being GNU Octave.[5][6][7][8] Scilab puts less emphasis on syntactic compatibility with MATLAB than Octave does,[5][9][10] but it is similar enough that some authors suggest that it is easy to transfer skills between the two systems.[11]
- ^ "Scilab 2024.1.0". Retrieved 23 May 2024.
- ^ Holopainen, Timo (2000). "Modelling and simulation of multitechnological machine systems" (PDF).
- ^ Guenther, Raidl (May 1998). "An improved genetic algorithm for the multiconstrained 0-1 knapsack problem". 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360). pp. 207–211. CiteSeerX 10.1.1.20.6454. doi:10.1109/ICEC.1998.699502. ISBN 978-0-7803-4869-1. S2CID 2337792.
- ^ Philippe., Roux (2016-03-29). Scilab: I. Fundamentals, from theory to practice. Paris, France. ISBN 978-2-8227-0293-5. OCLC 1003630046.
{{cite book}}: CS1 maint: location missing publisher (link) - ^ a b Thomas Trappenberg (2010). Fundamentals of Computational Neuroscience. Oxford University Press. p. 361. ISBN 978-0-19-956841-3.
- ^ A Muhammad; V Zalizniak (2011). Practical Scientific Computing. Woodhead Publishing. p. 3. ISBN 978-0-85709-226-7.
- ^ Bernard A. Megrey; Erlend Moksness (2008). Computers in Fisheries Research. Springer Science & Business Media. p. 345. ISBN 978-1-4020-8636-6.
- ^ Raul Raymond Kapuno (2008). Programming for Chemical Engineers Using C, C++, and MATLAB. Jones & Bartlett Publishers. p. 365. ISBN 978-1-934015-09-4.
- ^ Russell L. Herman (2013). A Course in Mathematical Methods for Physicists. CRC Press. p. 42. ISBN 978-1-4665-8467-9.
- ^ Alain Vande Wouwer; Philippe Saucez; Carlos Vilas (2014). Simulation of ODE/PDE Models with MATLAB, OCTAVE and SCILAB: Scientific and Engineering Applications. Springer. pp. 114–115. ISBN 978-3-319-06790-2.
- ^ Mark A. Haidekker (2013). Linear Feedback Controls: The Essentials. Newnes. p. 3. ISBN 978-0-12-405513-1.