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)
Typin discipline	dynamic, weak
Influenced bi	APL; EISPACK; LINPACK; PL/0; Speakeasy;
Influenced	Julia; Octave; Scilab; INTLAB;
	; MATLAB Programming at Wikibooks;

MATLAB
	L-shaped membrane logo
Developer(s)	MathWorks
Ineetial release	1984; 41 years ago
Stable release	R2017a / 9 Mairch 2017; 8 years ago
Written in	C, C++, Java
Operatin seestem	Windows, Linux, and macOS
Platform	IA-32, x86-64
Teep	Numerical analysis; Numerical linear algebra
License	Proprietary commercial saftware
Website	mathworks.com/products/matlab

MATLAB (matrix laboratory) is a multi-paradigm numerical computin environment an fowert-generation programmin leid^[11]^[12]^[13].

References

↑ "The L-Shaped Membrane". MathWorks. 2003. Retrieved 7 Februar 2014.
↑ "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. Retrieved 1 December 2016.
↑ "History". Scilab. 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.

[1] "The L-Shaped Membrane". MathWorks. 2003. Retrieved 7 Februar 2014.

[2] "System Requirements and Platform Availability". MathWorks. Retrieved 14 August 2013.

[3] "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.

[Julia-4] Bezanson, Jeff; Karpinski, Stefan; Shah, Viral; Edelman, Alan (14 Februar 2012). "Why We Created Julia". Julia Language. Retrieved 1 December 2016.

[Octave-5] Eaton, John W. (21 Mey 2001). "Octave: Past, Present, and Future" (PDF). Texas-Wisconsin Modeling and Control Consortium. Retrieved 1 December 2016.

[Scilab-6] "History". Scilab. Retrieved 1 December 2016.

[rump-7] S.M. Rump: INTLAB – INTerval LABoratory. In Tibor Csendes, editor, Developments in Reliable Computing, pages 77–104. Kluwer Academic Publishers, Dordrecht, 1999.

[moore-8] Moore, R. E., Kearfott, R. B., & Cloud, M. J. (2009). Introduction to Interval Analysis. Society for Industrial and Applied Mathematics.

[acta-9] Rump, S. M. (2010). Verification methods: Rigorous results using floating-point arithmetic. Acta Numerica, 19, 287–449.

[har-10] Hargreaves, G. I. (2002). Interval analysis in MATLAB. Numerical Algorithms, (2009.1).

[11] Quarteroni, A., Saleri, F., & Gervasio, P. (2006). Scientific computing with MATLAB and Octave. Berlin: Springer.

[gh-12] Gander, W., & Hrebicek, J. (Eds.). (2011). Solving problems in scientific computing using Maple and Matlab®. Springer Science & Business Media.

[bf-13] Barnes, B., & Fulford, G. R. (2011). Mathematical modelling with case studies: a differential equations approach using Maple and MATLAB. Chapman and Hall/CRC.

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