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 It was originally made for numerical analysis (especially numerical linear algebra).Gilat, Amos (2004). MATLAB: An Introduction with Applications 2nd Edition. John Wiley & Sons.Quarteroni, Alfio; Saleri, Fausto (2006). Scientific Computing with MATLAB and Octave. Springer.Gander, W., & Hrebicek, J. (Eds.). (2011). Solving problems in scientific computing using Maple and Matlab®. Springer Science & Business Media. But today, it is used in many areas such as:

 Data analysisMartinez, W. L., Martinez, A. R., Solka, J., & Martinez, A. (2010). Exploratory data analysis with MATLAB. CRC Press.
 Deep learningKim, P. (2017). Matlab deep learning. With Machine Learning, Neural Networks and Artificial Intelligence, 130.
 Machine learningPaluszek, M., & Thomas, S. (2016). MATLAB machine learning.
 Neural networkPerez, C. (2017). Deep Learning and Dynamic Neural Networks with Matlab. CreateSpace Independent Publishing Platform.
 Numerical analysis
 Numerical methods for ordinary differential equationsWouwer, 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.
 Numerical methods for partial differential equationsLi, J., & Chen, Y. T. (2019). Computational partial differential equations using MATLAB®. CRC Press.Lloyd N. Trefethen (2000) Spectral Methods in MATLAB. SIAM, Philadelphia, PA.
 Finite element methodFerreira, A.J.M. (2009). MATLAB Codes for Finite Element Analysis. Springer.Kwon, Y. W., & Bang, H. (2018). The finite element method using MATLAB. CRC Press.Pepper, D. W., & Heinrich, J. C. (2017). The finite element method: basic concepts and applications with MATLAB, MAPLE, and COMSOL. CRC Press.
 OptimizationVenkataraman, P. (2009). Applied optimization with MATLAB programming. John Wiley & Sons.
 Signal processingWeeks, M. (2010). Digital signal processing using MATLAB & wavelets. Jones & Bartlett Publishers.Jackson, L. B. (2013). Digital Filters and Signal Processing: With MATLAB® Exercises. Springer Science & Business Media.Stearns, S. D., & Hush, D. R. (2002). Digital signal processing with examples in MATLAB®. CRC Press.Swanson, D. C. (2011). Signal processing for intelligent sensor systems with MATLAB. CRC Press.
 StatisticsCho, 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.

Release history

For a complete list of changes of both MATLAB and official toolboxes, check the MATLAB release notes.
+ Versions of the MATLAB product familyName of releaseMATLABSimulink, Stateflow (MATLAB attachments)YearVolume 85.01996Volume 95.11997R9.15.1.11997R105.21998R10.15.2.11998R115.31999R11.15.3.11999R126.02000R12.16.12001R136.52002R13SP16.5.12003R13SP26.5.2R1476.02004R14SP17.0.16.1R14SP27.0.46.22005R14SP37.16.3R2006a7.26.42006R2006b7.36.5R2007a7.46.62007R2007b7.57.0R2008a7.67.12008R2008b7.77.2R2009a7.87.32009R2009b7.97.4R2010a7.107.52010R2010b7.117.6R2011a7.127.72011R2011b7.137.8R2012a7.147.92012R2012b8.08.0R2013a8.18.12013R2013b8.28.2R2014a8.38.32014R2014b8.48.4R2015a8.58.52015R2015b8.68.6R2016a9.08.72016R2016b9.18.8R2017a9.28.92017R2017b9.39.0R2018a9.49.12018R2018b9.59.2R2019a9.69.32019R2019b9.79.4R2020a9.89.52020R2020b

References

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