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  2. Floating-point arithmetic - Wikipedia

    en.wikipedia.org/wiki/Floating-point_arithmetic

    The project double_fpu contains verilog source code of a double-precision floating-point unit. The project fpuvhdl contains vhdl source code of a single-precision floating-point unit.) Fleegal, Eric (2004). "Microsoft Visual C++ Floating-Point Optimization". Microsoft Developer Network. Archived from the original on 2017-07-06.

  3. C mathematical functions - Wikipedia

    en.wikipedia.org/wiki/C_mathematical_functions

    Any floating-point type can be modified with complex, and is then defined as a pair of floating-point numbers. Note that C99 and C++ do not implement complex numbers in a code-compatible way – the latter instead provides the class std:: complex. All operations on complex numbers are defined in the <complex.h> header.

  4. Minifloat - Wikipedia

    en.wikipedia.org/wiki/Minifloat

    Full Precision" in Direct3D 9.0 is a proprietary 24-bit floating-point format. Microsoft's D3D9 (Shader Model 2.0) graphics API initially supported both FP24 (as in ATI's R300 chip) and FP32 (as in Nvidia's NV30 chip) as "Full Precision", as well as FP16 as "Partial Precision" for vertex and pixel shader calculations performed by the graphics ...

  5. IEEE 754 - Wikipedia

    en.wikipedia.org/wiki/IEEE_754

    The IEEE Standard for Floating-Point Arithmetic (IEEE 754) is a technical standard for floating-point arithmetic originally established in 1985 by the Institute of Electrical and Electronics Engineers (IEEE). The standard addressed many problems found in the diverse floating-point implementations that made them difficult to use reliably and ...

  6. Half-precision floating-point format - Wikipedia

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

    Swift introduced half-precision floating point numbers in Swift 5.3 with the Float16 type. [20] OpenCL also supports half-precision floating point numbers with the half datatype on IEEE 754-2008 half-precision storage format. [21] As of 2024, Rust is currently working on adding a new f16 type for IEEE half-precision 16-bit floats. [22]

  7. Round-off error - Wikipedia

    en.wikipedia.org/wiki/Round-off_error

    This can occur, for example, when software performs arithmetic in x86 80-bit floating-point and then rounds the result to IEEE 754 binary64 floating-point. Floating-point number system [ edit ]

  8. Control flow - Wikipedia

    en.wikipedia.org/wiki/Control_flow

    Floating-point numbers are represented imprecisely due to hardware constraints, so a loop such as for X := 0.1 step 0.1 to 1.0 do might be repeated 9 or 10 times, depending on rounding errors and/or the hardware and/or the compiler version.

  9. Unum (number format) - Wikipedia

    en.wikipedia.org/wiki/Unum_(number_format)

    C++ library 4 to 64 (any es value); "Template version is 2 to 63 bits" No Un­known A few basic tests 4 levels of operations working with posits. Special support for NaN types (non-standard) bfp:Beyond Floating Point. Clément Guérin. C++ library Any No Un­known Bugs found; status of fixes unknown Supports + – × ÷ √ reciprocal, negate ...