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  2. Exponential factorial - Wikipedia

    en.wikipedia.org/wiki/Exponential_factorial

    The exponential factorial is a positive integer n raised to the power of n − 1, ... For example, 262144 is an exponential factorial since = ...

  3. List of mathematical series - Wikipedia

    en.wikipedia.org/wiki/List_of_mathematical_series

    2.2 Exponential function 2.3 Trigonometric, inverse trigonometric, hyperbolic, and inverse hyperbolic functions relationship 2.4 Modified-factorial denominators

  4. Factorial - Wikipedia

    en.wikipedia.org/wiki/Factorial

    The exponential factorial is defined recursively as =, =. For example, the exponential factorial of 4 is 4 3 2 1 = 262144. {\displaystyle 4^{3^{2^{1}}}=262144.} These numbers grow much more quickly than regular factorials.

  5. Taylor series - Wikipedia

    en.wikipedia.org/wiki/Taylor_series

    The polynomials, exponential function e x, and the trigonometric functions sine and cosine, are examples of entire functions. Examples of functions that are not entire include the square root, the logarithm, the trigonometric function tangent, and its inverse, arctan. For these functions the Taylor series do not converge if x is far from b.

  6. Wheat and chessboard problem - Wikipedia

    en.wikipedia.org/wiki/Wheat_and_chessboard_problem

    The exercise of working through this problem may be used to explain and demonstrate exponents and the quick growth of exponential and geometric sequences. It can also be used to illustrate sigma notation. When expressed as exponents, the geometric series is: 2 0 + 2 1 + 2 2 + 2 3 + ... and so forth, up to 2 63. The base of each exponentiation ...

  7. Stirling's approximation - Wikipedia

    en.wikipedia.org/wiki/Stirling's_approximation

    An alternative version uses the fact that the Poisson distribution converges to a normal distribution by the Central Limit Theorem. [5]Since the Poisson distribution with parameter converges to a normal distribution with mean and variance , their density functions will be approximately the same:

  8. Time complexity - Wikipedia

    en.wikipedia.org/wiki/Time_complexity

    An algorithm is said to be exponential time, if T(n) is upper bounded by 2 poly(n), where poly(n) is some polynomial in n. More formally, an algorithm is exponential time if T(n) is bounded by O(2 n k) for some constant k. Problems which admit exponential time algorithms on a deterministic Turing machine form the complexity class known as EXP.

  9. List of sums of reciprocals - Wikipedia

    en.wikipedia.org/wiki/List_of_sums_of_reciprocals

    An exponential factorial is an operation recursively defined as =, = . For example, a 4 = 4 3 2 1 {\displaystyle \ a_{4}=4^{3^{2^{1}}}\ } where the exponents are evaluated from the top down. The sum of the reciprocals of the exponential factorials from 1 onward is approximately 1.6111 and is transcendental.