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  2. Half-precision floating-point format - Wikipedia

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

    ILM was searching for an image format that could handle a wide dynamic range, but without the hard drive and memory cost of single or double precision floating point. [5] The hardware-accelerated programmable shading group led by John Airey at SGI (Silicon Graphics) used the s10e5 data type in 1997 as part of the 'bali' design effort.

  3. MathType - Wikipedia

    en.wikipedia.org/wiki/MathType

    MathType is a graphical editor for mathematical equations, allowing entry with the mouse or keyboard in a full graphical WYSIWYG environment. [2] This contrasts to document markup languages such as LaTeX where equations are entered as markup in a text editor and then processed into a typeset document as a separate step.

  4. Unum (number format) - Wikipedia

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

    convert double to posit; convert posit to double; cast unsigned integer to posit; It works for 16-bit posits with one exponent bit and 8-bit posit with zero exponent bit. Support for 32-bit posits and flexible type (2-32 bits with two exponent bits) is pending validation. It supports x86_64 systems.

  5. 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.

  6. Double-precision floating-point format - Wikipedia

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

    Double-precision floating-point format (sometimes called FP64 or float64) is a floating-point number format, usually occupying 64 bits in computer memory; it represents a wide range of numeric values by using a floating radix point. Double precision may be chosen when the range or precision of single precision would be insufficient. In the IEEE ...

  7. LINPACK benchmarks - Wikipedia

    en.wikipedia.org/wiki/LINPACK_benchmarks

    LINPACK 100 is very similar to the original benchmark published in 1979 along with the LINPACK users' manual. [7] The solution is obtained by Gaussian elimination with partial pivoting, with / + floating-point operations, where n = 100 is the order of the dense matrix A that defines the problem.

  8. Round-off error - Wikipedia

    en.wikipedia.org/wiki/Round-off_error

    The IEEE standard stores the sign, exponent, and significand in separate fields of a floating point word, each of which has a fixed width (number of bits). The two most commonly used levels of precision for floating-point numbers are single precision and double precision.

  9. List of PDF software - Wikipedia

    en.wikipedia.org/wiki/List_of_PDF_software

    Open-source, cross-platform C library to generate PDF files. OpenPDF: GNU LGPLv3 / MPLv2.0: Open source library to create and manipulate PDF files in Java. Fork of an older version of iText, but with the original LGPL / MPL license. PDFsharp: MIT C# developer library to create, extract, edit PDF files. Poppler: GNU GPL