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[[Category:Cross-platform saftware]] |
[[Category:Cross-platform saftware]] |
Reveision as o 06:50, 12 December 2022
L-shaped membrane logo[1] | |
Developer(s) | MathWorks |
---|---|
Ineetial release | 1984[2] |
Stable release | R2020a
|
Written in | C, C++, Java |
Operatin seestem | Windows, Linux, and macOS[3] |
Platform | IA-32, x86-64 |
Teep | Numerical analysis Numerical linear algebra |
License | Proprietary commercial saftware |
Website | mathworks |
Paradigm(s) | multi-paradigm: functional, imperative, procedural, object-orientit, array |
---|---|
Appeared in | late 1970s |
Designed bi | Cleve Moler |
Developer | MathWorks |
Stable release | 9.1 (R2016b) (September 2016 | )
Typin discipline | dynamic, weak |
Influenced bi | |
Influenced | |
|
MATLAB (matrix laboratory) is a multi-paradigm numerical computin environment an fowert-generation programmin leid[12][13][14].
Features
Today, MATLAB is usit i many areas such as:
Release history
For a complete list o changes o both MATLAB an official toolboxes, check the MATLAB release notes[24].
Name of release | MATLAB | Simulink, Stateflow (MATLAB attachments) | Year |
---|---|---|---|
Volume 8 | 5.0 | 1996 | |
Volume 9 | 5.1 | 1997 | |
R9.1 | 5.1.1 | 1997 | |
R10 | 5.2 | 1998 | |
R10.1 | 5.2.1 | 1998 | |
R11 | 5.3 | 1999 | |
R11.1 | 5.3.1 | 1999 | |
R12 | 6.0 | 2000 | |
R12.1 | 6.1 | 2001 | |
R13 | 6.5 | 2002 | |
R13SP1 | 6.5.1 | 2003 | |
R13SP2 | 6.5.2 | ||
R14 | 7 | 6.0 | 2004 |
R14SP1 | 7.0.1 | 6.1 | |
R14SP2 | 7.0.4 | 6.2 | 2005 |
R14SP3 | 7.1 | 6.3 | |
R2006a | 7.2 | 6.4 | 2006 |
R2006b | 7.3 | 6.5 | |
R2007a | 7.4 | 6.6 | 2007 |
R2007b | 7.5 | 7.0 | |
R2008a | 7.6 | 7.1 | 2008 |
R2008b | 7.7 | 7.2 | |
R2009a | 7.8 | 7.3 | 2009 |
R2009b | 7.9 | 7.4 | |
R2010a | 7.10 | 7.5 | 2010 |
R2010b | 7.11 | 7.6 | |
R2011a | 7.12 | 7.7 | 2011 |
R2011b | 7.13 | 7.8 | |
R2012a | 7.14 | 7.9 | 2012 |
R2012b | 8.0 | 8.0 | |
R2013a | 8.1 | 8.1 | 2013 |
R2013b | 8.2 | 8.2 | |
R2014a | 8.3 | 8.3 | 2014 |
R2014b | 8.4 | 8.4 | |
R2015a | 8.5 | 8.5 | 2015 |
R2015b | 8.6 | 8.6 | |
R2016a | 9.0 | 8.7 | 2016 |
R2016b | 9.1 | 8.8 | |
R2017a | 9.2 | 8.9 | 2017 |
R2017b | 9.3 | 9.0 | |
R2018a | 9.4 | 9.1 | 2018 |
R2018b | 9.5 | 9.2 | |
R2019a | 9.6 | 9.3 | 2019 |
R2019b | 9.7 | 9.4 | |
R2020a | 9.8 | 9.5 | 2020 |
R2020b |
References
- ↑ "The L-Shaped Membrane". MathWorks. 2003. Retrieved 7 Februar 2014.
- ↑ Moler, C., & Little, J. (2020). A history of MATLAB. Proceedings of the ACM on Programming Languages, 4(HOPL), 1-67.
- ↑ "System Requirements and Platform Availability". MathWorks. Retrieved 14 August 2013.
- ↑ "An interview with CLEVE MOLER Conducted by Thomas Haigh On 8 and 9 March, 2004 Santa Barbara, California" (PDF). Computer History Museum. Retrieved 6 December 2016.
So APL, Speakeasy, LINPACK, EISPACK, and PL0 were the predecessors to MATLAB.
- ↑ Bezanson, Jeff; Karpinski, Stefan; Shah, Viral; Edelman, Alan (14 Februar 2012). "Why We Created Julia". Julia Language. Retrieved 1 December 2016.
- ↑ Eaton, John W. (21 Mey 2001). "Octave: Past, Present, and Future" (PDF). Texas-Wisconsin Modeling and Control Consortium. Archived frae the original (PDF) on 9 August 2017. Retrieved 1 December 2016.
- ↑ "History". Scilab. Archived frae the original on 1 December 2016. Retrieved 1 December 2016.
- ↑ S.M. Rump: INTLAB – INTerval LABoratory. In Tibor Csendes, editor, Developments in Reliable Computing, pages 77–104. Kluwer Academic Publishers, Dordrecht, 1999.
- ↑ Moore, R. E., Kearfott, R. B., & Cloud, M. J. (2009). Introduction to Interval Analysis. Society for Industrial and Applied Mathematics.
- ↑ Rump, S. M. (2010). Verification methods: Rigorous results using floating-point arithmetic. Acta Numerica, 19, 287–449.
- ↑ Hargreaves, G. I. (2002). Interval analysis in MATLAB. Numerical Algorithms, (2009.1).
- ↑ Quarteroni, A., Saleri, F., & Gervasio, P. (2006). Scientific computing with MATLAB and Octave. Berlin: Springer.
- ↑ Gander, W., & Hrebicek, J. (Eds.). (2011). Solving problems in scientific computing using Maple and Matlab®. Springer Science & Business Media.
- ↑ Barnes, B., & Fulford, G. R. (2011). Mathematical modelling with case studies: a differential equations approach using Maple and MATLAB. Chapman and Hall/CRC.
- ↑ Martinez, W. L., Martinez, A. R., Solka, J., & Martinez, A. (2010). Exploratory data analysis with MATLAB. CRC Press.
- ↑ Wouwer, A. V., Saucez, P., & Vilas, C. (2014). Simulation of Ode/Pde Models with MATLAB®, OCTAVE and SCILAB: Scientific and Engineering Applications. Springer.
- ↑ Houcque, D. (2008). Applications of MATLAB: Ordinary differential equations (ODE). Robert R. McCormick School of Engineering and Applied Science-Northwestern University, Evanston.
- ↑ Shampine, L. F., & Reichelt, M. W. (1997). The matlab ode suite. SIAM Journal on Scientific Computing, 18(1), 1-22.
- ↑ Ashino, R., Nagase, M., & Vaillancourt, R. (2000). Behind and beyond the MATLAB ODE suite. Computers & Mathematics with Applications, 40(4-5), 491-512.
- ↑ Li, J., & Chen, Y. T. (2019). Computational partial differential equations using MATLAB®. CRC Press.
- ↑ Lloyd N. Trefethen (2000) Spectral Methods in MATLAB. SIAM, Philadelphia, PA.
- ↑ Cho, M., & Martinez, W. L. (2014). Statistics in Matlab: A primer (Vol. 22). CRC Press.
- ↑ Martinez, W. L. (2011). Computational statistics in MATLAB®. Wiley Interdisciplinary Reviews: Computational Statistics, 3(1), 69-74.
- ↑ "MATLAB Release Notes". MathWorks. Retrieved 25 Mey 2020.