none, it uses denormalization.
In IEEE-754 single precision, the floating point number 12.5 is represented using 32 bits. It consists of one sign bit, an 8-bit exponent, and a 23-bit fraction (or mantissa). For 12.5, the sign bit is 0 (positive), the exponent is 10000010 (which is 130 in decimal, representing an exponent of 3), and the mantissa is 01010000000000000000000, derived from the binary representation of 12.5 (which is 1100.1 in binary, normalized to 1.1001 x 2^3). Thus, the final binary representation in IEEE-754 format is 0 10000010 01010000000000000000000.
Yu cound be any number in the interval [599500, 600500]. [Rounding halves to evens as per IEEE standard 754.]
It is 875.It can be 875 or 885. Using the round-half-to-even method, as required by IEEE Standard 754, both would be rounded to 880.
Rational numbers can be represented in binary by converting both the numerator and denominator of the fraction to binary format. For example, the rational number 3/4 would be converted to binary as 11/100. Additionally, if the rational number is not a simple fraction, it can be expressed as a binary floating-point number using a format like IEEE 754, which encodes the sign, exponent, and mantissa of the number. This allows for precise representation of rational numbers in a binary system.
Floating point operations refer to mathematical calculations performed on numbers represented in floating point format, which allows for a wide range of values through the use of a fractional component and an exponent. This format is particularly useful for representing very large or very small numbers, as well as for performing complex calculations in scientific computing and graphics. Floating point operations include addition, subtraction, multiplication, and division, and they are typically used in computer programming and numerical analysis. The precision of these operations can vary based on the underlying hardware and the specific floating point standard used, such as IEEE 754.
You can read some details in the Wikipedia article "floating point", especially the "History" section. It isn't worthwhile to copy large amounts of this text here. Nowadays, the most commonly used format is the IEEE 754 format.
Firstly, IEEE is not a standard, it is an organisation (the Institute of Electrical and Electronics Engineers). The IEEE Standards Organisation is responsible for the standardisation activities of the IEEE. As such, there are many IEEE standards.There are two official IEEE standards covering 32-bit binary values:IEEE 754-1985 (single)IEEE 754-2008 (binary32)IEEE 754-2008 single-precision binary floating-point format: binary32The high-order bit always denotes the sign (0 for positive, 1 for negative).The next 8 bits denote the exponent. This can either be notated in twos-complement (-128 to +127) or 127-biased (0 to 255). IEEE 754-2008 (binary32) uses the 127-biased form.The low-order 23 bits denote the normalised mantissa. There's actually 24 bits in the mantissa but the high-order bit is always 1 and can therefore be implied rather than stored.The decimal precision that can be obtained from an IEEE 754-2008 (binary32) value is usually in the order of 6 to 9 digits of precision, depending on the implementation.
6
In IEEE-754 single precision, the floating point number 12.5 is represented using 32 bits. It consists of one sign bit, an 8-bit exponent, and a 23-bit fraction (or mantissa). For 12.5, the sign bit is 0 (positive), the exponent is 10000010 (which is 130 in decimal, representing an exponent of 3), and the mantissa is 01010000000000000000000, derived from the binary representation of 12.5 (which is 1100.1 in binary, normalized to 1.1001 x 2^3). Thus, the final binary representation in IEEE-754 format is 0 10000010 01010000000000000000000.
Yes, but many school teachers will , naively (and ignorant of IEEE 754), require it to be rounded up to 3.5.
Assuming you're asking about IEEE-754 floating-point numbers, then the three parts are base, digits, and exponent.
10.25
Yu cound be any number in the interval [599500, 600500]. [Rounding halves to evens as per IEEE standard 754.]
It is 875.It can be 875 or 885. Using the round-half-to-even method, as required by IEEE Standard 754, both would be rounded to 880.
A value of float or floating point type represents a real number coded in a form of scientific notation. Depending on the computer it may be a binary coded form of scientific notation or a binary coded decimal (BCD) form of scientific notation, there are a nearly infinite number of ways of coding floating point but most computers today have standardized on the IEEE floating point specifications (e.g. IEEE 754, IEEE 854, ISO/IEC/IEEE 60559).
Generally speaking, IEEE-754 dictates that a float is 32-bits while a double is 64-bits. Thus if the underlying type is an IEE-754 float or double, a currency type will typically be the same length or higher. However, note that very few languages have a built-in currency type.
The exponent field for a float data type according to the IEEE-754 Standard is comprised of 8 bits, a whole number range of 0-255.