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  2. Mxparser - Wikipedia

    en.wikipedia.org/wiki/Mxparser

    mXparser is an open-source mathematical expressions parser/evaluator providing abilities to calculate various expressions at a run time. [1] Expressions definitions are given as plain text, then verified in terms of grammar / syntax, finally calculated.

  3. JavaScript syntax - Wikipedia

    en.wikipedia.org/wiki/JavaScript_syntax

    var x1 = 0; // A global variable, because it is not in any function let x2 = 0; // Also global, this time because it is not in any block function f {var z = 'foxes', r = 'birds'; // 2 local variables m = 'fish'; // global, because it wasn't declared anywhere before function child {var r = 'monkeys'; // This variable is local and does not affect the "birds" r of the parent function. z ...

  4. Conditional probability - Wikipedia

    en.wikipedia.org/wiki/Conditional_probability

    P(A|B) may or may not be equal to P(A), i.e., the unconditional probability or absolute probability of A. If P(A|B) = P(A), then events A and B are said to be independent: in such a case, knowledge about either event does not alter the likelihood of each other. P(A|B) (the conditional probability of A given B) typically differs from P(B|A).

  5. Calculator input methods - Wikipedia

    en.wikipedia.org/wiki/Calculator_input_methods

    1: If the subtraction button − is pressed after the multiplication ×, it is interpreted as a correction of the × rather than a minus sign, so that 4 − 5 is calculated. 20: If the change-sign button ± is pressed before the 5, it isn't interpreted as −5, and 4 × 5 is calculated.

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  7. JavaScript - Wikipedia

    en.wikipedia.org/wiki/JavaScript

    JavaScript (/ ˈ dʒ ɑː v ə s k r ɪ p t /), often abbreviated as JS, is a programming language and core technology of the Web, alongside HTML and CSS. Ninety-nine percent of websites use JavaScript on the client side for webpage behavior. [10] Web browsers have a dedicated JavaScript engine that executes the client code.

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  9. Cumulative distribution function - Wikipedia

    en.wikipedia.org/wiki/Cumulative_distribution...

    Cumulative distribution function for the exponential distribution Cumulative distribution function for the normal distribution. In probability theory and statistics, the cumulative distribution function (CDF) of a real-valued random variable, or just distribution function of , evaluated at , is the probability that will take a value less than or equal to .