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MATLAB

Frae Wikipedia, the free beuk o knawledge
MATLAB
L-shaped membrane logo[1]
Developer(s)MathWorks
Ineetial release1984; 41 years ago (1984)
Stable release
R2017a / 9 Mairch 2017; 8 years ago (2017-03-09)
Written inC, C++, Java
Operatin seestemWindows, Linux, and macOS[2]
PlatformIA-32, x86-64
TeepNumerical analysis
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; 8 years ago (2016-09))
Typin disciplinedynamic, weak
Influenced bi
Influenced

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

References

  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.
  4. Bezanson, Jeff; Karpinski, Stefan; Shah, Viral; Edelman, Alan (14 Februar 2012). "Why We Created Julia". Julia Language. Retrieved 1 December 2016.
  5. Eaton, John W. (21 Mey 2001). "Octave: Past, Present, and Future" (PDF). Texas-Wisconsin Modeling and Control Consortium. Retrieved 1 December 2016.
  6. "History". Scilab. Retrieved 1 December 2016.
  7. S.M. Rump: INTLAB – INTerval LABoratory. In Tibor Csendes, editor, Developments in Reliable Computing, pages 77–104. Kluwer Academic Publishers, Dordrecht, 1999.
  8. Moore, R. E., Kearfott, R. B., & Cloud, M. J. (2009). Introduction to Interval Analysis. Society for Industrial and Applied Mathematics.
  9. Rump, S. M. (2010). Verification methods: Rigorous results using floating-point arithmetic. Acta Numerica, 19, 287–449.
  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.
  12. Gander, W., & Hrebicek, J. (Eds.). (2011). Solving problems in scientific computing using Maple and Matlab®. Springer Science & Business Media.
  13. Barnes, B., & Fulford, G. R. (2011). Mathematical modelling with case studies: a differential equations approach using Maple and MATLAB. Chapman and Hall/CRC.