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  2. Even and odd functions - Wikipedia

    en.wikipedia.org/wiki/Even_and_odd_functions

    Even functions are those real functions whose graph is self-symmetric with respect to the y-axis, and odd functions are those whose graph is self-symmetric with respect to the origin. If the domain of a real function is self-symmetric with respect to the origin, then the function can be uniquely decomposed as the sum of an even function and an ...

  3. Constant function - Wikipedia

    en.wikipedia.org/wiki/Constant_function

    Its graph is symmetric with respect to the y-axis, and therefore a constant function is an even function. [4] In the context where it is defined, the derivative of a function is a measure of the rate of change of function values with respect to change in input values. Because a constant function does not change, its derivative is 0. [5]

  4. Gaussian function - Wikipedia

    en.wikipedia.org/wiki/Gaussian_function

    Some examples include: In statistics and probability theory, Gaussian functions appear as the density function of the normal distribution, which is a limiting probability distribution of complicated sums, according to the central limit theorem.

  5. Tractrix - Wikipedia

    en.wikipedia.org/wiki/Tractrix

    The arc length of one branch between x = x 1 and x = x 2 is a ln ⁠ y 1 / y 2 ⁠. The area between the tractrix and its asymptote is ⁠ π a 2 / 2 ⁠, which can be found using integration or Mamikon's theorem. The envelope of the normals of the tractrix (that is, the evolute of the tractrix) is the catenary (or chain curve) given by y = a ...

  6. Convolution - Wikipedia

    en.wikipedia.org/wiki/Convolution

    In fact, if either measure is absolutely continuous with respect to the Haar measure, then so is their convolution. [34] If μ and ν are probability measures on the topological group (R,+), then the convolution μ∗ν is the probability distribution of the sum X + Y of two independent random variables X and Y whose respective distributions ...

  7. Deming regression - Wikipedia

    en.wikipedia.org/wiki/Deming_regression

    In statistics, Deming regression, named after W. Edwards Deming, is an errors-in-variables model that tries to find the line of best fit for a two-dimensional data set. It differs from the simple linear regression in that it accounts for errors in observations on both the x - and the y - axis.

  8. Power law - Wikipedia

    en.wikipedia.org/wiki/Power_law

    Usually, this estimator is the proportion of times that the number occurs in the data set. If the points in the plot tend to converge to a straight line for large numbers in the x axis, then the researcher concludes that the distribution has a power-law tail. Examples of the application of these types of plot have been published. [61]

  9. Constant (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Constant_(mathematics)

    As an adjective, it refers to non-variance (i.e. unchanging with respect to some other value); as a noun, it has two different meanings: A fixed and well-defined number or other non-changing mathematical object, or the symbol denoting it. [1] [2] The terms mathematical constant or physical constant are sometimes used to distinguish this meaning ...