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  2. Factorial number system - Wikipedia

    en.wikipedia.org/wiki/Factorial_number_system

    For arbitrarily greater numbers one has to choose a base for representing individual digits, say decimal, and provide a separating mark between them (for instance by subscripting each digit by its base, also given in decimal, like 2 4 0 3 1 2 0 1, this number also can be written as 2:0:1:0!). In fact the factorial number system itself is not ...

  3. Arbitrary-precision arithmetic - Wikipedia

    en.wikipedia.org/wiki/Arbitrary-precision_arithmetic

    But if exact values for large factorials are desired, then special software is required, as in the pseudocode that follows, which implements the classic algorithm to calculate 1, 1×2, 1×2×3, 1×2×3×4, etc. the successive factorial numbers. constants: Limit = 1000 % Sufficient digits.

  4. Double dabble - Wikipedia

    en.wikipedia.org/wiki/Double_dabble

    In computer science, the double dabble algorithm is used to convert binary numbers into binary-coded decimal (BCD) notation. [ 1 ] [ 2 ] It is also known as the shift-and-add -3 algorithm , and can be implemented using a small number of gates in computer hardware, but at the expense of high latency .

  5. C mathematical functions - Wikipedia

    en.wikipedia.org/wiki/C_mathematical_functions

    returns e raised to the given power exp2: returns 2 raised to the given power expm1: returns e raised to the given power, minus one log: computes natural logarithm (to base e) log2: computes binary logarithm (to base 2) log10: computes common logarithm (to base 10) log1p: computes natural logarithm (to base e) of 1 plus the given number ilogb

  6. 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.

  7. Factorial - Wikipedia

    en.wikipedia.org/wiki/Factorial

    The word "factorial" (originally French: factorielle) was first used in 1800 by Louis François Antoine Arbogast, [18] in the first work on Faà di Bruno's formula, [19] but referring to a more general concept of products of arithmetic progressions. The "factors" that this name refers to are the terms of the product formula for the factorial. [20]

  8. Unary operation - Wikipedia

    en.wikipedia.org/wiki/Unary_operation

    This is in contrast to binary operations, which use two operands. [2] An example is any function ⁠: ⁠, where A is a set. The function ⁠ ⁠ is a unary operation on A. Common notations are prefix notation (e.g. ¬, −), postfix notation (e.g. factorial n!

  9. Fermat's factorization method - Wikipedia

    en.wikipedia.org/wiki/Fermat's_factorization_method

    If the approximate ratio of two factors (/) is known, then a rational number / can be picked near that value. N u v = c v ⋅ d u {\displaystyle Nuv=cv\cdot du} , and Fermat's method, applied to Nuv , will find the factors c v {\displaystyle cv} and d u {\displaystyle du} quickly.