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  2. 32-bit computing - Wikipedia

    en.wikipedia.org/wiki/32-bit_computing

    A 32-bit register can store 2 32 different values. The range of integer values that can be stored in 32 bits depends on the integer representation used. With the two most common representations, the range is 0 through 4,294,967,295 (2 32 − 1) for representation as an binary number, and −2,147,483,648 (−2 31) through 2,147,483,647 (2 31 − 1) for representation as two's complement.

  3. Single-precision floating-point format - Wikipedia

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

    A floating-point variable can represent a wider range of numbers than a fixed-point variable of the same bit width at the cost of precision. A signed 32-bit integer variable has a maximum value of 2 31 − 1 = 2,147,483,647, whereas an IEEE 754 32-bit base-2 floating-point variable has a maximum value of (2 − 2 −23) × 2 127 ≈ 3.4028235 ...

  4. 2,147,483,647 - Wikipedia

    en.wikipedia.org/wiki/2,147,483,647

    The number 2,147,483,647 (or hexadecimal 7FFFFFFF 16) is the maximum positive value for a 32-bit signed binary integer in computing. It is therefore the maximum value for variables declared as integers (e.g., as int) in many programming languages.

  5. 4,294,967,295 - Wikipedia

    en.wikipedia.org/wiki/4,294,967,295

    The number 4,294,967,295 is a whole number equal to 2 32 − 1. It is a perfect totient number, meaning it is equal to the sum of its iterated totients. [ 1][ 2] It follows 4,294,967,294 and precedes 4,294,967,296. It has a factorization of . In computing, 4,294,967,295 is the highest unsigned (that is, not negative) 32-bit integer, which makes ...

  6. Signed number representations - Wikipedia

    en.wikipedia.org/wiki/Signed_number_representations

    The rightmost bit represents (−2) 0 = +1, the next bit represents (−2) 1 = −2, the next bit (−2) 2 = +4 and so on, with alternating sign. The numbers that can be represented with four bits are shown in the comparison table below. The range of numbers that can be represented is asymmetric.

  7. bfloat16 floating-point format - Wikipedia

    en.wikipedia.org/wiki/Bfloat16_floating-point_format

    Bfloat16 is designed to maintain the number range from the 32-bit IEEE 754 single-precision floating-point format (binary32), while reducing the precision from 24 bits to 8 bits. This means that the precision is between two and three decimal digits, and bfloat16 can represent finite values up to about 3.4 × 10 38 .

  8. Computer number format - Wikipedia

    en.wikipedia.org/wiki/Computer_number_format

    The number of bits needed for the precision and range desired must be chosen to store the fractional and integer parts of a number. For instance, using a 32-bit format, 16 bits may be used for the integer and 16 for the fraction. The eight's bit is followed by the four's bit, then the two's bit, then the one's bit.

  9. Integer (computer science) - Wikipedia

    en.wikipedia.org/wiki/Integer_(computer_science)

    Integer (computer science) In computer science, an integer is a datum of integral data type, a data type that represents some range of mathematical integers. Integral data types may be of different sizes and may or may not be allowed to contain negative values. Integers are commonly represented in a computer as a group of binary digits (bits).