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  2. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    ^ The current default format is binary. ^ The "classic" format is plain text, and an XML format is also supported. ^ Theoretically possible due to abstraction, but no implementation is included. ^ The primary format is binary, but text and JSON formats are available. [8] [9]

  3. Quadruple-precision floating-point format - Wikipedia

    en.wikipedia.org/wiki/Quadruple-precision...

    The range of a double-double remains essentially the same as the double-precision format because the exponent has still 11 bits, [4] significantly lower than the 15-bit exponent of IEEE quadruple precision (a range of 1.8 × 10 308 for double-double versus 1.2 × 10 4932 for binary128).

  4. JData - Wikipedia

    en.wikipedia.org/wiki/JData

    For MATLAB and GNU Octave, JSONLab v2.0 is the reference implementation for the latest JData specification, and is available on Debian/Ubuntu, Fedora, and GitHub. The JSONLab toolbox is also distributed via MATLAB File Exchange, and is among the most popular downloads packages, and named in Popular File 2018.

  5. 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.

  6. Complex data type - Wikipedia

    en.wikipedia.org/wiki/Complex_data_type

    javafastcomplex also adds complex number support for Java; jcomplexnumber is a project on implementation of complex number in Java. JLinAlg includes complex numbers with arbitrary precision. Common Lisp: The ANSI Common Lisp standard supports complex numbers of floats, rationals and arbitrary precision integers. Its basic mathematical functions ...

  7. 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.

  8. Kurtis Rourke injury: Indiana QB reportedly played through ...

    www.aol.com/kurtis-rourke-injury-indiana-qb...

    Kurtis Rourke injury: Indiana QB reportedly played through ...

  9. Single-precision floating-point format - Wikipedia

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

    Here we can show how to convert a base-10 real number into an IEEE 754 binary32 format using the following outline: Consider a real number with an integer and a fraction part such as 12.375; Convert and normalize the integer part into binary; Convert the fraction part using the following technique as shown here