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  2. Power law - Wikipedia

    en.wikipedia.org/wiki/Power_law

    The distributions of a wide variety of physical, biological, and human-made phenomena approximately follow a power law over a wide range of magnitudes: these include the sizes of craters on the moon and of solar flares, [2] cloud sizes, [3] the foraging pattern of various species, [4] the sizes of activity patterns of neuronal populations, [5] the frequencies of words in most languages ...

  3. Natural logarithm - Wikipedia

    en.wikipedia.org/wiki/Natural_logarithm

    The figure is a graph of ln(1 + x) and some of its Taylor polynomials around 0. These approximations converge to the function only in the region −1 < x1; outside this region, the higher-degree Taylor polynomials devolve to worse approximations for the function.

  4. Geometric progression - Wikipedia

    en.wikipedia.org/wiki/Geometric_progression

    If the absolute value of the common ratio is smaller than 1, the terms will decrease in magnitude and approach zero via an exponential decay. If the absolute value of the common ratio is greater than 1, the terms will increase in magnitude and approach infinity via an exponential growth. If the absolute value of the common ratio equals 1, the ...

  5. Laplace transform - Wikipedia

    en.wikipedia.org/wiki/Laplace_transform

    If a(n) is a discrete function of a positive integer n, then the power series associated to a(n) is the series = where x is a real variable (see Z-transform). Replacing summation over n with integration over t , a continuous version of the power series becomes ∫ 0 ∞ f ( t ) x t d t {\displaystyle \int _{0}^{\infty }f(t)x^{t}\,dt} where the ...

  6. Logistic function - Wikipedia

    en.wikipedia.org/wiki/Logistic_function

    The standard logistic function is the logistic function with parameters =, =, =, which yields = + = + = / / + /.In practice, due to the nature of the exponential function, it is often sufficient to compute the standard logistic function for over a small range of real numbers, such as a range contained in [−6, +6], as it quickly converges very close to its saturation values of 0 and 1.

  7. Big O notation - Wikipedia

    en.wikipedia.org/wiki/Big_O_notation

    Big O notation is a mathematical notation that describes the limiting behavior of a function when the argument tends towards a particular value or infinity. Big O is a member of a family of notations invented by German mathematicians Paul Bachmann, [1] Edmund Landau, [2] and others, collectively called Bachmann–Landau notation or asymptotic notation.

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