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  2. Inline function - Wikipedia

    en.wikipedia.org/wiki/Inline_function

    In the C and C++ programming languages, an inline function is one qualified with the keyword inline; this serves two purposes: . It serves as a compiler directive that suggests (but does not require) that the compiler substitute the body of the function inline by performing inline expansion, i.e. by inserting the function code at the address of each function call, thereby saving the overhead ...

  3. List of C++ multiple precision arithmetic libraries - Wikipedia

    en.wikipedia.org/wiki/List_of_C++_multiple...

    The following is an incomplete list of some arbitrary-precision arithmetic libraries for C++. GMP [1] [nb 1] MPFR [3] MPIR [4] TTMath [5] Arbitrary Precision Math C++ Package [6] Class Library for Numbers; Number Theory Library; Apfloat [7] C++ Big Integer Library [8] MAPM [9] ARPREC [10] InfInt [11] Universal Numbers [12] mp++ [13] num7 [14]

  4. Single-precision floating-point format - Wikipedia

    en.wikipedia.org/wiki/Single-precision_floating...

    Single precision is termed REAL in Fortran; [1] SINGLE-FLOAT in Common Lisp; [2] float in C, C++, C# and Java; [3] Float in Haskell [4] and Swift; [5] and Single in Object Pascal , Visual Basic, and MATLAB. However, float in Python, Ruby, PHP, and OCaml and single in versions of Octave before 3.2 refer to double-precision numbers.

  5. List of arbitrary-precision arithmetic software - Wikipedia

    en.wikipedia.org/wiki/List_of_arbitrary...

    Go: the standard library package math/big implements arbitrary-precision integers (Int type), rational numbers (Rat type), and floating-point numbers (Float type) Guile: the built-in exact numbers are of arbitrary precision. Example: (expt 10 100) produces the expected (large) result. Exact numbers also include rationals, so (/ 3 4) produces 3/4.

  6. Floating-point arithmetic - Wikipedia

    en.wikipedia.org/wiki/Floating-point_arithmetic

    The base determines the fractions that can be represented; for instance, 1/5 cannot be represented exactly as a floating-point number using a binary base, but 1/5 can be represented exactly using a decimal base (0.2, or 2 × 10 −1). However, 1/3 cannot be represented exactly by either binary (0.010101...) or decimal (0.333...), but in base 3 ...

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  8. 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.

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    c++ inline float atan2 _yx _xx 3 1 4 2 soccer formation numbers layout chart