MATLAB

MATLAB (matrix laboratory) is a programming language made by Cleve Moler from MathWorks. It was originally made for numerical analysis (especially numerical linear algebra).^[1][2][3] But today, it is used in many areas such as:

• Data analysis^[4]
• Deep learning^[5]
• Machine learning^[6]
• Neural network^[7]
• Numerical analysis
  • Numerical methods for ordinary differential equations^{[8][9][10][11]}
  • Numerical methods for partial differential equations^[12][13]
    • Finite element method^[14][15][16]
• Optimization^[17]
• Signal processing^{[18][19][20][21]}
• Statistics^[22][23]

Release history

MATLAB (software)

Developer(s)	MathWorks
Initial release	1984; 40 years ago (1984)[24]
Stable release	R2020a / March 19, 2020; 4 years ago (2020-03-19)
Written in	C/C++, MATLAB
Operating system	Windows, macOS, and Linux[25]
Platform	IA-32, x86-64
Type	Numerical analysis
License	Proprietary commercial software
Website	mathworks.com

MATLAB (programming language)

Paradigm	multi-paradigm: functional, imperative, procedural, object-oriented, array
Designed by	Cleve Moler
Developer	MathWorks
First appeared	late 1970s
Stable release	9.8 (R2020a) / March 19, 2020; 4 years ago (2020-03-19)
Typing discipline	dynamic, weak
Filename extensions	.m, .p,[26] .mex*,[27] .mat,[28] .fig,[29] .mlx,[30] .mlapp,[31] .mltbx,[32] .mlappinstall,[33] .mlpkginstall[34]
Website	mathworks.com
Influenced by
APL EISPACK LINPACK PL/0 Speakeasy[35]
Influenced
Julia[36] GNU Octave[37] Scilab[38] INTLAB[39][40][41][42]
MATLAB Programming at Wikibooks

For a complete list of changes of both MATLAB and official toolboxes, check the MATLAB release notes.^[43]

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

References

1. Gilat, Amos (2004). MATLAB: An Introduction with Applications 2nd Edition. John Wiley & Sons.
2. Quarteroni, Alfio; Saleri, Fausto (2006). Scientific Computing with MATLAB and Octave. Springer.
3. Gander, W., & Hrebicek, J. (Eds.). (2011). Solving problems in scientific computing using Maple and Matlab®. Springer Science & Business Media.
4. Martinez, W. L., Martinez, A. R., Solka, J., & Martinez, A. (2010). Exploratory data analysis with MATLAB. CRC Press.
5. Kim, P. (2017). Matlab deep learning. With Machine Learning, Neural Networks and Artificial Intelligence, 130.
6. Paluszek, M., & Thomas, S. (2016). MATLAB machine learning.
7. Perez, C. (2017). Deep Learning and Dynamic Neural Networks with Matlab. CreateSpace Independent Publishing Platform.
8. Wouwer, A. V., Saucez, P., & Vilas, C. (2014). Simulation of Ode/Pde Models with MATLAB®, OCTAVE and SCILAB: Scientific and Engineering Applications. Springer.
9. Houcque, D. (2008). Applications of MATLAB: Ordinary differential equations (ODE). Robert R. McCormick School of Engineering and Applied Science-Northwestern University, Evanston.
10. Shampine, L. F., & Reichelt, M. W. (1997). The matlab ode suite. SIAM Journal on Scientific Computing, 18(1), 1-22.
11. Ashino, R., Nagase, M., & Vaillancourt, R. (2000). Behind and beyond the MATLAB ODE suite. Computers & Mathematics with Applications, 40(4-5), 491-512.
12. Li, J., & Chen, Y. T. (2019). Computational partial differential equations using MATLAB®. CRC Press.
13. Lloyd N. Trefethen (2000) Spectral Methods in MATLAB. SIAM, Philadelphia, PA.
14. Ferreira, A.J.M. (2009). MATLAB Codes for Finite Element Analysis. Springer.
15. Kwon, Y. W., & Bang, H. (2018). The finite element method using MATLAB. CRC Press.
16. Pepper, D. W., & Heinrich, J. C. (2017). The finite element method: basic concepts and applications with MATLAB, MAPLE, and COMSOL. CRC Press.
17. Venkataraman, P. (2009). Applied optimization with MATLAB programming. John Wiley & Sons.
18. Weeks, M. (2010). Digital signal processing using MATLAB & wavelets. Jones & Bartlett Publishers.
19. Jackson, L. B. (2013). Digital Filters and Signal Processing: With MATLAB® Exercises. Springer Science & Business Media.
20. Stearns, S. D., & Hush, D. R. (2002). Digital signal processing with examples in MATLAB®. CRC Press.
21. Swanson, D. C. (2011). Signal processing for intelligent sensor systems with MATLAB. CRC Press.
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. Moler, C., & Little, J. (2020). A history of MATLAB. Proceedings of the ACM on Programming Languages, 4(HOPL), 1-67.
25. "System Requirements and Platform Availability". MathWorks. Retrieved August 14, 2013.
26. "Protect Your Source Code". MathWorks. Retrieved November 1, 2019.
27. "MEX Platform Compatibility". MathWorks. Retrieved November 1, 2019.
28. "MAT-File Versions". MathWorks. Retrieved November 1, 2019.
29. "Save Figure to Reopen in MATLAB Later". MathWorks. Retrieved November 1, 2019.
30. "Live Code File Format (.mlx)". MathWorks. Retrieved November 1, 2019.
31. "MATLAB App Designer". MathWorks. Retrieved November 1, 2019.
32. "Toolbox Distribution". MathWorks. Retrieved November 1, 2019.
33. "MATLAB App Installer File". MathWorks. Retrieved November 1, 2019.
34. "Support Package Installation". MathWorks. Archived from the original on October 6, 2014. Retrieved November 1, 2019.
35. "An interview with CLEVE MOLER Conducted by Thomas Haigh On 8 and 9 March, 2004 Santa Barbara, California" (PDF). Computer History Museum. Archived from the original (PDF) on December 27, 2014. Retrieved December 6, 2016. So APL, Speakeasy, LINPACK, EISPACK, and PL0 were the predecessors to MATLAB.
36. Bezanson, Jeff; Karpinski, Stefan; Shah, Viral; Edelman, Alan (February 14, 2012). "Why We Created Julia". Julia Language. Retrieved December 1, 2016.
37. Eaton, John W. (May 21, 2001). "Octave: Past, Present, and Future" (PDF). Texas-Wisconsin Modeling and Control Consortium. Archived from the original (PDF) on August 9, 2017. Retrieved December 1, 2016.
38. "History". Scilab. Archived from the original on December 1, 2016. Retrieved December 1, 2016.
39. S.M. Rump: INTLAB – INTerval LABoratory. In Tibor Csendes, editor, Developments in Reliable Computing, pages 77–104. Kluwer Academic Publishers, Dordrecht, 1999.
40. Moore, R. E., Kearfott, R. B., & Cloud, M. J. (2009). Introduction to Interval Analysis. Society for Industrial and Applied Mathematics.
41. Rump, S. M. (2010). Verification methods: Rigorous results using floating-point arithmetic. Acta Numerica, 19, 287–449.
42. Hargreaves, G. I. (2002). Interval analysis in MATLAB. Numerical Algorithms, (2009.1).
43. "MATLAB Release Notes". MathWorks. Retrieved May 25, 2020.

Other websites

• Official website