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  2. Indicator function - Wikipedia

    en.wikipedia.org/wiki/Indicator_function

    In many cases, such as order theory, the inverse of the indicator function may be defined. This is commonly called the generalized Möbius function, as a generalization of the inverse of the indicator function in elementary number theory, the Möbius function. (See paragraph below about the use of the inverse in classical recursion theory.)

  3. Indicator function (complex analysis) - Wikipedia

    en.wikipedia.org/wiki/Indicator_function...

    Such indicators have some special properties. For example, the following statements are all true for an indicator function that is trigonometrically convex at least on an interval (,): [1]: 55–57 [2]: 54–61

  4. Lusin's theorem - Wikipedia

    en.wikipedia.org/wiki/Lusin's_theorem

    The strength of Lusin's theorem might not be readily apparent, as can be demonstrated by example. Consider Dirichlet function , that is the indicator function 1 Q : [ 0 , 1 ] → { 0 , 1 } {\displaystyle 1_{\mathbb {Q} }:[0,1]\to \{0,1\}} on the unit interval [ 0 , 1 ] {\displaystyle [0,1]} taking the value of one on the rationals, and zero ...

  5. List of mathematical functions - Wikipedia

    en.wikipedia.org/wiki/List_of_mathematical_functions

    Indicator function: maps x to either 1 or 0, depending on whether or not x belongs to some subset. Step function: A finite linear combination of indicator functions of half-open intervals. Heaviside step function: 0 for negative arguments and 1 for positive arguments. The integral of the Dirac delta function. Sawtooth wave; Square wave ...

  6. Sigmoid function - Wikipedia

    en.wikipedia.org/wiki/Sigmoid_function

    In particular see "Chapter 4: Artificial Neural Networks" (in particular pp. 96–97) where Mitchell uses the word "logistic function" and the "sigmoid function" synonymously – this function he also calls the "squashing function" – and the sigmoid (aka logistic) function is used to compress the outputs of the "neurons" in multi-layer neural ...

  7. Characteristic function (convex analysis) - Wikipedia

    en.wikipedia.org/wiki/Characteristic_function...

    In the field of mathematics known as convex analysis, the characteristic function of a set is a convex function that indicates the membership (or non-membership) of a given element in that set. It is similar to the usual indicator function , and one can freely convert between the two, but the characteristic function as defined below is better ...

  8. Condition number - Wikipedia

    en.wikipedia.org/wiki/Condition_number

    Condition numbers can also be defined for nonlinear functions, and can be computed using calculus.The condition number varies with the point; in some cases one can use the maximum (or supremum) condition number over the domain of the function or domain of the question as an overall condition number, while in other cases the condition number at a particular point is of more interest.

  9. Characteristic function - Wikipedia

    en.wikipedia.org/wiki/Characteristic_function

    In mathematics, the term "characteristic function" can refer to any of several distinct concepts: The indicator function of a subset , that is the function 1 A : X → { 0 , 1 } , {\displaystyle \mathbf {1} _{A}\colon X\to \{0,1\},} which for a given subset A of X , has value 1 at points of A and 0 at points of X − A .