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  2. Exponentiation - Wikipedia

    en.wikipedia.org/wiki/Exponentiation

    When an exponent is a positive integer, that exponent indicates how many copies of the base are multiplied together. For example, 3 5 = 3 · 3 · 3 · 3 · 3 = 243. The base 3 appears 5 times in the multiplication, because the exponent is 5. Here, 243 is the 5th power of 3, or 3 raised to the 5th power.

  3. Exponentiation by squaring - Wikipedia

    en.wikipedia.org/wiki/Exponentiation_by_squaring

    In mathematics and computer programming, exponentiating by squaring is a general method for fast computation of large positive integer powers of a number, or more generally of an element of a semigroup, like a polynomial or a square matrix. Some variants are commonly referred to as square-and-multiply algorithms or binary exponentiation.

  4. Tetration - Wikipedia

    en.wikipedia.org/wiki/Tetration

    In the first two expressions a is the base, and the number of times a appears is the height (add one for x). In the third expression, n is the height , but each of the bases is different. Care must be taken when referring to iterated exponentials, as it is common to call expressions of this form iterated exponentiation, which is ambiguous, as ...

  5. Exponential function - Wikipedia

    en.wikipedia.org/wiki/Exponential_function

    The graph always lies above the x-axis, but becomes arbitrarily close to it for large negative x; thus, the x-axis is a horizontal asymptote. The equation d d x e x = e x {\displaystyle {\tfrac {d}{dx}}e^{x}=e^{x}} means that the slope of the tangent to the graph at each point is equal to its height (its y -coordinate) at that point.

  6. 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. One such notation is (,).

  7. Computational complexity of mathematical operations - Wikipedia

    en.wikipedia.org/wiki/Computational_complexity...

    See big O notation for an explanation of the notation used. Note: Due to the variety of multiplication algorithms, M ( n ) {\displaystyle M(n)} below stands in for the complexity of the chosen multiplication algorithm.

  8. Pentation - Wikipedia

    en.wikipedia.org/wiki/Pentation

    It is a binary operation defined with two numbers a and b, where a is tetrated to itself b − 1 times. The type of hyperoperation is typically denoted by a number in brackets, []. For instance, using hyperoperation notation for pentation and tetration, 2 [ 5 ] 3 {\displaystyle 2[5]3} means tetrating 2 to itself 2 times, or 2 [ 4 ] ( 2 [ 4 ] 2 ...

  9. Double exponential function - Wikipedia

    en.wikipedia.org/wiki/Double_exponential_function

    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 )). The complex double exponential function is entire , due to the fact that it is the composition of two entire functions f ( x ) = a x = e x ln ⁡ a {\displaystyle f(x)=a^{x}=e^{x ...