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  2. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    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.

  3. Simulink - Wikipedia

    en.wikipedia.org/wiki/Simulink

    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.

  4. List of educational programming languages - Wikipedia

    en.wikipedia.org/wiki/List_of_educational...

    CircuitPython is a beginner-oriented version of Python for interactive electronics and education. Rapira is an ALGOL-like procedural programming language, with a simple interactive development environment, developed in the Soviet Union to teach programming in schools. Src:Card is a tactile offline programming language embedded in an educational ...

  5. Comparison of numerical-analysis software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_numerical...

    1.2.0 6 November 2018: Free GPL v.3 or later FOSS statistics program, intended as an alternative to IBM SPSS Statistics. [Note 2] R: R Foundation 1997 1997 4.3.2 31 October 2023: Free GPL: Primarily for statistics, but there are many interfaces to open-source numerical software SageMath: William Stein: 2005 10.2 3 December 2023: Free GPL

  6. GNU Octave - Wikipedia

    en.wikipedia.org/wiki/GNU_Octave

    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.

  7. Quadratic programming - Wikipedia

    en.wikipedia.org/wiki/Quadratic_programming

    The quadratic programming problem with n variables and m constraints can be formulated as follows. [2] Given: a real-valued, n-dimensional vector c, an n×n-dimensional real symmetric matrix Q, an m×n-dimensional real matrix A, and; an m-dimensional real vector b, the objective of quadratic programming is to find an n-dimensional vector x ...