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MATLAB (an abbreviation of "MATrix LABoratory" [18]) 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.
Pages in category "MATLAB software" This category contains only the following page. This list may not reflect recent changes. M. MTEX This page was last ...
Shogun, an open-source large-scale machine-learning toolbox that provides several SVM implementations (like libSVM, SVMlight) under a common framework and interfaces to Octave, MATLAB, Python, R; Waffles is a free-software collection of command-line tools designed for scripting machine-learning operations in automated experiments and processes.
Octave programs consist of a list of function calls or a script. The syntax is matrix-based and provides various functions for matrix operations. It supports various data structures and allows object-oriented programming. [26] Its syntax is very similar to MATLAB, and careful programming of a script will allow it to run on both Octave and ...
GNU Octave – programming language very similar to MATLAB with statistical features; gretl – gnu regression, econometrics and time-series library; intrinsic Noise Analyzer (iNA) – For analyzing intrinsic fluctuations in biochemical systems; jamovi – A free software alternative to IBM SPSS Statistics
NOVAS is a software library for astrometry-related numerical computations. Both Fortran and C versions are available. Netlib is a repository of scientific computing software which contains a large number of separate programs and libraries including BLAS, EISPACK, LAPACK and others. PAW is a free data analysis package developed at CERN.
DIDO is primarily available as a stand-alone MATLAB optimal control toolbox. [29] That is, it does not require any third-party software like SNOPT or IPOPT or other nonlinear programming solvers. [1] In fact, it does not even require the MATLAB Optimization Toolbox. The MATLAB/DIDO toolbox does not require a "guess" to run the algorithm.
MATLAB was created in the 1970s by Cleve Moler, who was chairman of the computer science department at the University of New Mexico at the time. It was a free tool for academics. Jack Little, who would eventually set up the company, came across the tool while he was a graduate student in electrical engineering at Stanford University. [3] [4]