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  2. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    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.

  3. List of computer algebra systems - Wikipedia

    en.wikipedia.org/wiki/List_of_computer_algebra...

    The following tables provide a comparison of computer algebra systems (CAS). [1] [2] [3] A CAS is a package comprising a set of algorithms for performing symbolic manipulations on algebraic objects, a language to implement them, and an environment in which to use the language.

  4. Symbolic execution - Wikipedia

    en.wikipedia.org/wiki/Symbolic_execution

    In computer science, symbolic execution (also symbolic evaluation or symbex) is a means of analyzing a program to determine what inputs cause each part of a program to execute. An interpreter follows the program, assuming symbolic values for inputs rather than obtaining actual inputs as normal execution of the program would.

  5. BASIC - Wikipedia

    en.wikipedia.org/wiki/BASIC

    BASIC (Beginners' All-purpose Symbolic Instruction Code) [1] is a family of general-purpose, high-level programming languages designed for ease of use. The original version was created by John G. Kemeny and Thomas E. Kurtz at Dartmouth College in 1963.

  6. Symbolic regression - Wikipedia

    en.wikipedia.org/wiki/Symbolic_regression

    Symbolic regression (SR) is a type of regression analysis that searches the space of mathematical expressions to find the model that best fits a given dataset, both in terms of accuracy and simplicity.

  7. Symbolic data analysis - Wikipedia

    en.wikipedia.org/wiki/Symbolic_Data_Analysis

    Symbolic data analysis (SDA) is an extension of standard data analysis where symbolic data tables are used as input and symbolic objects are made output as a result. The data units are called symbolic since they are more complex than standard ones, as they not only contain values or categories, but also include internal variation and structure.

  8. Automatic differentiation - Wikipedia

    en.wikipedia.org/wiki/Automatic_differentiation

    Currently, for its efficiency and accuracy in computing first and higher order derivatives, auto-differentiation is a celebrated technique with diverse applications in scientific computing and mathematics.

  9. Maple (software) - Wikipedia

    en.wikipedia.org/wiki/Maple_(software)

    Maple is a symbolic and numeric computing environment as well as a multi-paradigm programming language.It covers several areas of technical computing, such as symbolic mathematics, numerical analysis, data processing, visualization, and others.