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MATLAB (an abbreviation of "MATrix LABoratory" [22]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms , creation of user interfaces , and interfacing with programs written in other languages.
The company sold its first order, 10 copies of MATLAB, for $500 to the Massachusetts Institute of Technology (MIT) in February 1985. [8] A few years later, Little and the company moved to Massachusetts. [6] [9] There, Little hired Jeanne O'Keefe, an experienced computer executive, to help formalize the business. [3]
Simulink is a MATLAB-based graphical programming environment for modeling, simulating and analyzing multidomain dynamical systems. Its primary interface is a graphical block diagramming tool and a customizable set of block libraries. It offers tight integration with the rest of the MATLAB environment and can either drive MATLAB or be scripted ...
GNU Octave is a scientific programming language for scientific computing and numerical computation.Octave helps in solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with MATLAB.
The PROPT [1] MATLAB Optimal Control Software is a new generation platform for solving applied optimal control (with ODE or DAE formulation) and parameters estimation problems. The platform was developed by MATLAB Programming Contest Winner, Per Rutquist in 2008. The most recent version has support for binary and integer variables as well as an ...
Matlab and Octave GUI Documentation: user guides, reference manuals, API documentation, application libraries with solved examples, online tutorials examples, miniapps, Doxygen, online documentation User doc, tutorials, demos, developer's guide extensive tutorials, video lectures, Doxygen
MATHLAB 68 has been used to solve electrical linear circuits using an acausal modeling approach for symbolic circuit analysis. [2] This application was developed as a plug-in for MATHLAB 68 (open-source), building on MATHLAB's linear algebra facilities (Laplace transforms, inverse Laplace transforms and linear algebra manipulation).
IBM-PC in the laboratory. Cambridge University Press. ISBN 978-0-521-32199-0. Buddy Fey (1996). Data Power: Using Racecar Data Acquisition. Towery Pub. ISBN 978-1-881096-01-6. Francesco Fornetti (2013). Instrumentation Control, Data Acquisition and Processing with MATLAB. Explore RF Ltd. ISBN 978-0957663503. Tomaž Kos, Tomaž Kosar, and Marjan ...