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  2. 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.

  3. 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.

  4. Maple (software) - Wikipedia

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

    Examples of symbolic computations are given below. Maple incorporates a dynamically typed imperative-style programming language (resembling Pascal), which permits variables of lexical scope. [3] There are also interfaces to other languages (C, C#, Fortran, Java, MATLAB, and Visual Basic), as well as to Microsoft Excel.

  5. 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.

  6. Symbolic integration - Wikipedia

    en.wikipedia.org/wiki/Symbolic_integration

    In calculus, symbolic integration is the problem of finding a formula for the antiderivative, or indefinite integral, of a given function f(x), i.e. to find a formula for a differentiable function F(x) such that = (). The family of all functions that satisfy this property can be denoted

  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. APL syntax and symbols - Wikipedia

    en.wikipedia.org/wiki/APL_syntax_and_symbols

    Pascal ← {' ' @ (0 =⊢) ↑ 0, ⍨¨ a ⌽ ¨ ⌽∊ ¨ 0, ¨¨ a ∘! ¨ a ← ⌽⍳ ⍵} ⍝ Create a one-line user function called Pascal Pascal 7 ⍝ Run function Pascal for seven rows and show the results below: 1 1 2 1 3 3 1 4 6 4 1 5 10 10 5 1 6 15 20 15 6 1 7 21 35 35 21 7

  9. Symbolic programming - Wikipedia

    en.wikipedia.org/wiki/Symbolic_programming

    In computer programming, symbolic programming is a programming paradigm in which the program can manipulate its own formulas and program components as if they were plain data. [ 1 ] Through symbolic programming, complex processes can be developed that build other more intricate processes by combining smaller units of logic or functionality.