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  2. Knuth's up-arrow notation - Wikipedia

    en.wikipedia.org/wiki/Knuth's_up-arrow_notation

    The sequence starts with a unary operation (the successor function with n = 0), and continues with the binary operations of addition (n = 1), multiplication (n = 2), exponentiation (n = 3), tetration (n = 4), pentation (n = 5), etc. Various notations have been used to represent hyperoperations.

  3. Growth function - Wikipedia

    en.wikipedia.org/wiki/Growth_function

    1. The domain is the real line .The set-family contains all the half-lines (rays) from a given number to positive infinity, i.e., all sets of the form {>} for some .For any set of real numbers, the intersection contains + sets: the empty set, the set containing the largest element of , the set containing the two largest elements of , and so on.

  4. Quadratic growth - Wikipedia

    en.wikipedia.org/wiki/Quadratic_growth

    In mathematics, a function or sequence is said to exhibit quadratic growth when its values are proportional to the square of the function argument or sequence position. "Quadratic growth" often means more generally "quadratic growth in the limit ", as the argument or sequence position goes to infinity – in big Theta notation , f ( x ) = Θ ...

  5. Exponential growth - Wikipedia

    en.wikipedia.org/wiki/Exponential_growth

    For example, when =, it grows at 3 times its size, but when = it grows at 30% of its size. If an exponentially growing function grows at a rate that is 3 times is present size, then it always grows at a rate that is 3 times its present size. When it is 10 times as big as it is now, it will grow 10 times as fast.

  6. Big O notation - Wikipedia

    en.wikipedia.org/wiki/Big_O_notation

    For example, let f(x) = 6x 4 − 2x 3 + 5, and suppose we wish to simplify this function, using O notation, to describe its growth rate as x approaches infinity. This function is the sum of three terms: 6x 4, −2x 3, and 5. Of these three terms, the one with the highest growth rate is the one with the largest exponent as a function of x ...

  7. Ackermann function - Wikipedia

    en.wikipedia.org/wiki/Ackermann_function

    For small values of m like 1, 2, or 3, the Ackermann function grows relatively slowly with respect to n (at most exponentially). For m ≥ 4 {\displaystyle m\geq 4} , however, it grows much more quickly; even A ( 4 , 2 ) {\displaystyle A(4,2)} is about 2.00353 × 10 19 728 , and the decimal expansion of A ( 4 , 3 ) {\displaystyle A(4,3)} is ...

  8. Fast-growing hierarchy - Wikipedia

    en.wikipedia.org/wiki/Fast-growing_hierarchy

    In computability theory, computational complexity theory and proof theory, a fast-growing hierarchy (also called an extended Grzegorczyk hierarchy, or a Schwichtenberg-Wainer hierarchy) [1] is an ordinal-indexed family of rapidly increasing functions f α: N → N (where N is the set of natural numbers {0, 1, ...}, and α ranges up to some large countable ordinal).

  9. Double exponential function - Wikipedia

    en.wikipedia.org/wiki/Double_exponential_function

    f(x) = 10 10 x; f(0) = 10; f(1) = 10 10; f(2) = 10 100 = googol; f(3) = 10 1000; f(100) = 10 10 100 = googolplex. 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 ...