MATLAB

multi-paradigm numerical computin environment an fowert-generation programmin leid

MATLAB (matrix laboratory) is a multi-paradigm numerical computin environment an fowert-generation programmin leid[12][13][14].

MATLAB
Matlab Logo.png
L-shaped membrane logo[1]
Developer(s)MathWorks
Ineetial release1984; 36 years ago (1984)[2]
Stable release
R2020a
Written inC, C++, Java
Operatin seestemWindows, Linux, and macOS[3]
PlatformIA-32, x86-64
TeepNumerical analysis
Numerical linear algebra
LicenseProprietary commercial saftware
Websitemathworks.com/products/matlab
MATLAB
Paradigm(s)multi-paradigm: functional, imperative, procedural, object-orientit, array
Appeared inlate 1970s
Designed biCleve Moler
DeveloperMathWorks
Stable release9.1 (R2016b) (September 2016; 3 years ago (2016-09))
Typin disciplinedynamic, weak
Influenced bi
Influenced

FeaturesEedit

Today, MATLAB is usit i many areas such as:

Release historyEedit

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 9.4
R2020a 9.8 9.5 2020
R2020b

ReferencesEedit

  1. "The L-Shaped Membrane". MathWorks. 2003. Retrieved 7 February 2014.
  2. Moler, C., & Little, J. (2020). A history of MATLAB. Proceedings of the ACM on Programming Languages, 4(HOPL), 1-67.
  3. "System Requirements and Platform Availability". MathWorks. Retrieved 14 August 2013.
  4. "An interview with CLEVE MOLER Conducted by Thomas Haigh On 8 and 9 March, 2004 Santa Barbara, California" (PDF). Computer History Museum. Retrieved 2016-12-06. So APL, Speakeasy, LINPACK, EISPACK, and PL0 were the predecessors to MATLAB.
  5. Bezanson, Jeff; Karpinski, Stefan; Shah, Viral; Edelman, Alan (2012-02-14). "Why We Created Julia". Julia Language. Retrieved 2016-12-01.
  6. Eaton, John W. (2001-05-21). "Octave: Past, Present, and Future" (PDF). Texas-Wisconsin Modeling and Control Consortium. Retrieved 2016-12-01.
  7. "History". Scilab. Retrieved 2016-12-01.
  8. S.M. Rump: INTLAB – INTerval LABoratory. In Tibor Csendes, editor, Developments in Reliable Computing, pages 77–104. Kluwer Academic Publishers, Dordrecht, 1999.
  9. Moore, R. E., Kearfott, R. B., & Cloud, M. J. (2009). Introduction to Interval Analysis. Society for Industrial and Applied Mathematics.
  10. Rump, S. M. (2010). Verification methods: Rigorous results using floating-point arithmetic. Acta Numerica, 19, 287–449.
  11. Hargreaves, G. I. (2002). Interval analysis in MATLAB. Numerical Algorithms, (2009.1).
  12. Quarteroni, A., Saleri, F., & Gervasio, P. (2006). Scientific computing with MATLAB and Octave. Berlin: Springer.
  13. Gander, W., & Hrebicek, J. (Eds.). (2011). Solving problems in scientific computing using Maple and Matlab®. Springer Science & Business Media.
  14. Barnes, B., & Fulford, G. R. (2011). Mathematical modelling with case studies: a differential equations approach using Maple and MATLAB. Chapman and Hall/CRC.
  15. Martinez, W. L., Martinez, A. R., Solka, J., & Martinez, A. (2010). Exploratory data analysis with MATLAB. CRC Press.
  16. Wouwer, A. V., Saucez, P., & Vilas, C. (2014). Simulation of Ode/Pde Models with MATLAB®, OCTAVE and SCILAB: Scientific and Engineering Applications. Springer.
  17. Houcque, D. (2008). Applications of MATLAB: Ordinary differential equations (ODE). Robert R. McCormick School of Engineering and Applied Science-Northwestern University, Evanston.
  18. Shampine, L. F., & Reichelt, M. W. (1997). The matlab ode suite. SIAM Journal on Scientific Computing, 18(1), 1-22.
  19. Ashino, R., Nagase, M., & Vaillancourt, R. (2000). Behind and beyond the MATLAB ODE suite. Computers & Mathematics with Applications, 40(4-5), 491-512.
  20. Li, J., & Chen, Y. T. (2019). Computational partial differential equations using MATLAB®. CRC Press.
  21. Lloyd N. Trefethen (2000) Spectral Methods in MATLAB. SIAM, Philadelphia, PA.
  22. Cho, M., & Martinez, W. L. (2014). Statistics in Matlab: A primer (Vol. 22). CRC Press.
  23. Martinez, W. L. (2011). Computational statistics in MATLAB®. Wiley Interdisciplinary Reviews: Computational Statistics, 3(1), 69-74.
  24. "MATLAB Release Notes". MathWorks. Retrieved May 25, 2020.

External linksEedit