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  2. Double exponential function - Wikipedia

    en.wikipedia.org/wiki/Double_exponential_function

    Factorials grow faster than exponential functions, but much more slowly than double exponential functions. However, tetration and the Ackermann function grow faster. See Big O notation for a comparison of the rate of growth of various functions. The inverse of the double exponential function is the double logarithm log(log(x)).

  3. Population growth - Wikipedia

    en.wikipedia.org/wiki/Population_growth

    Population growth is the increase in the number of people in a population or dispersed group. Actual global human population growth amounts to around 83 million annually, or 1.1% per year. [2] The global population has grown from 1 billion in 1800 to 8.1 billion in 2024. [3]

  4. Technological singularity - Wikipedia

    en.wikipedia.org/wiki/Technological_singularity

    The exponential growth in computing technology suggested by Moore's law is commonly cited as a reason to expect a singularity in the relatively near future, and a number of authors have proposed generalizations of Moore's law.

  5. Moore's law - Wikipedia

    en.wikipedia.org/wiki/Moore's_law

    The exponential processor transistor growth predicted by Moore does not always translate into exponentially greater practical CPU performance. Since around 2005–2007, Dennard scaling has ended, so even though Moore's law continued after that, it has not yielded proportional dividends in improved performance.

  6. Biological exponential growth - Wikipedia

    en.wikipedia.org/wiki/Biological_exponential_growth

    Biological exponential growth is the unrestricted growth of a population of organisms, occurring when resources in its habitat are unlimited. Most commonly apparent in species that reproduce quickly and asexually, like bacteria , exponential growth is intuitive from the fact that each organism can divide and produce two copies of itself.

  7. Time constant - Wikipedia

    en.wikipedia.org/wiki/Time_constant

    First order LTI systems are characterized by the differential equation + = where τ represents the exponential decay constant and V is a function of time t = (). The right-hand side is the forcing function f(t) describing an external driving function of time, which can be regarded as the system input, to which V(t) is the response, or system output.

  8. Quadratic growth - Wikipedia

    en.wikipedia.org/wiki/Quadratic_growth

    "Quadratic growth" often means more generally "quadratic growth in the limit", as the argument or sequence position goes to infinity – in big Theta notation, () = (). [1] This can be defined both continuously (for a real -valued function of a real variable) or discretely (for a sequence of real numbers, i.e., real-valued function of an ...

  9. Reverberation - Wikipedia

    en.wikipedia.org/wiki/Reverberation

    Reverberation time is usually stated as a decay time and is measured in seconds. There may or may not be any statement of the frequency band used in the measurement. Decay time is the time it takes the signal to diminish 60 dB below the original sound.