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  2. Computational complexity of mathematical operations - Wikipedia

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

    Graphs of functions commonly used in the analysis of algorithms, showing the number of operations versus input size for each function. The following tables list the computational complexity of various algorithms for common mathematical operations.

  3. Factorial - Wikipedia

    en.wikipedia.org/wiki/Factorial

    3: 6 4: 24 5: 120 6: 720 7: 5 040: 8: 40 320: 9: 362 880: 10: 3 628 800: 11: ... Much of the mathematics of the factorial function was developed beginning in the late ...

  4. Recurrence relation - Wikipedia

    en.wikipedia.org/wiki/Recurrence_relation

    The factorial is defined by the recurrence relation ! = ()! >, and the initial condition ! = This is an example of a linear recurrence with polynomial coefficients of order 1, with the simple polynomial (in n) as its only coefficient.

  5. Time complexity - Wikipedia

    en.wikipedia.org/wiki/Time_complexity

    An algorithm is said to be factorial time if T(n) is upper bounded by the factorial function n!. Factorial time is a subset of exponential time (EXP) because n ! ≤ n n = 2 n log ⁡ n = O ( 2 n 1 + ϵ ) {\displaystyle n!\leq n^{n}=2^{n\log n}=O\left(2^{n^{1+\epsilon }}\right)} for all ϵ > 0 {\displaystyle \epsilon >0} .

  6. Stirling's approximation - Wikipedia

    en.wikipedia.org/wiki/Stirling's_approximation

    [1] [2] [3] One way of stating the approximation involves the logarithm of the factorial: ⁡ (!) = ⁡ + (⁡), where the big O notation means that, for all sufficiently large values of , the difference between ⁡ (!

  7. Factorion - Wikipedia

    en.wikipedia.org/wiki/Factorion

    Let be a natural number. For a base >, we define the sum of the factorials of the digits [5] [6] of , :, to be the following: ⁡ = =!. where = ⌊ ⁡ ⌋ + is the number of digits in the number in base , ! is the factorial of and

  8. Smalltalk - Wikipedia

    en.wikipedia.org/wiki/Smalltalk

    3 factorial factorial log which sends "factorial" to 3, then "factorial" to the result (6), then "log" to the result (720), producing the result 2.85733. A series of expressions can be written as in the following (hypothetical) example, each separated by a period (period is a statement separator, not a statement terminator).

  9. Memoization - Wikipedia

    en.wikipedia.org/wiki/Memoization

    function factorial (n is a non-negative integer) if n is 0 then return 1 [by the convention that 0! = 1] else if n is in lookup-table then return lookup-table-value-for-n else let x = factorial(n – 1) times n [recursively invoke factorial with the parameter 1 less than n] store x in lookup-table in the n th slot [remember the result of n! for ...