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  2. Logarithmic growth - Wikipedia

    en.wikipedia.org/wiki/Logarithmic_growth

    Logarithmic growth is the inverse of exponential growth and is very slow. [2] A familiar example of logarithmic growth is a number, N, in positional notation, which grows as log b (N), where b is the base of the number system used, e.g. 10 for decimal arithmetic. [3] In more advanced mathematics, the partial sums of the harmonic series

  3. Exponential growth - Wikipedia

    en.wikipedia.org/wiki/Exponential_growth

    Exponential growth is the inverse of logarithmic growth. Not all cases of growth at an always increasing rate are instances of exponential growth. For example the function f ( x ) = x 3 {\textstyle f(x)=x^{3}} grows at an ever increasing rate, but is much slower than growing exponentially.

  4. Logistic function - Wikipedia

    en.wikipedia.org/wiki/Logistic_function

    Original image of a logistic curve, contrasted with what Verhulst called a "logarithmic curve" (in modern terms, "exponential curve") The logistic function was introduced in a series of three papers by Pierre François Verhulst between 1838 and 1847, who devised it as a model of population growth by adjusting the exponential growth model, under the guidance of Adolphe Quetelet. [5]

  5. Doubling time - Wikipedia

    en.wikipedia.org/wiki/Doubling_time

    The doubling time is a characteristic unit (a natural unit of scale) for the exponential growth equation, and its converse for exponential decay is the half-life. As an example, Canada's net population growth was 2.7 percent in the year 2022, dividing 72 by 2.7 gives an approximate doubling time of about 27 years.

  6. Bacterial growth - Wikipedia

    en.wikipedia.org/wiki/Bacterial_growth

    The decrease in number of bacteria may even become logarithmic. Hence, this phase of growth may also be called as negative logarithmic or negative exponential growth phase. Near the end of the logarithmic phase of a batch culture, competence for natural genetic transformation may be induced, as in Bacillus subtilis [10] and in other bacteria ...

  7. Log-normal distribution - Wikipedia

    en.wikipedia.org/wiki/Log-normal_distribution

    Many natural growth processes are driven by the accumulation of many small percentage changes which become additive on a log scale. Under appropriate regularity conditions, the distribution of the resulting accumulated changes will be increasingly well approximated by a log-normal, as noted in the section above on " Multiplicative Central Limit ...

  8. Natural logarithm - Wikipedia

    en.wikipedia.org/wiki/Natural_logarithm

    The exponential function can be extended to a function which gives a complex number as e z for any arbitrary complex number z; simply use the infinite series with x =z complex. This exponential function can be inverted to form a complex logarithm that exhibits most of the properties of the ordinary logarithm.

  9. e (mathematical constant) - Wikipedia

    en.wikipedia.org/wiki/E_(mathematical_constant)

    The law of exponential growth can be written in different but mathematically equivalent forms, by using a different base, for which the number e is a common and convenient choice: = = /. Here, x 0 {\displaystyle x_{0}} denotes the initial value of the quantity x , k is the growth constant, and τ {\displaystyle \tau } is the time it takes the ...