MATLAB MATLAB L-shaped membrane logo[1] Developer(s) MathWorks Ineetial release 1984; 41 years ago (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.com/products/matlab MATLAB 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; 8 years ago (2016-09)) Typin discipline dynamic, weak Influenced bi APL EISPACK LINPACK PL/0 Speakeasy[4] Influenced Julia[5] GNU Octave[6] Scilab[7] INTLAB[8][9][10][11] MATLAB Programming at Wikibooks 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: Data analysis[15] Numerical analysis Numerical methods for ordinary differential equations[16][17][18][19] Numerical methods for pairtial differential equations[20][21] Stateestics[22][23] Release history For a complete list o changes o both MATLAB an official toolboxes, check the MATLAB release notes[24]. Versions of the MATLAB product family 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 10.0 R2020a 9.8 10.1 2020 R2020b 9.9 10.2 R2021a 9.10 10.3 2021 R2021b 9.11 10.4 R2022a 9.12 10.5 2022 R2022b 9.13 10.6 R2023a 9.14 10.7 2023 R2023b 23.2 23.2 R2024a 24.1 24.1 2024 R2024b 24.2 24.2 References ↑ "The L-Shaped Membrane". MathWorks. 2003. Archived frae the original on 23 Apryle 2019. 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. Archived frae the original on 13 October 2016. 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. Archived frae the original on 28 Juin 2020. Retrieved 25 Mey 2020. External links

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